Ofertes d'ocupació de Enginyer/a Cloud a Barcelona

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada1 de gen.

. Java Python Azure Cloud Coumputing Scala AWS Terraform Kafka Spark Office

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.  

We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Barcelona office – are you ready to hit play on an exciting career change? 

The Role 

Behind every great story is data. Data helps us understand our audiences, personalize their experiences, power content decisions, and ultimately deliver the entertainment they love.

Now, we're embarking on a major transformation: migrating to a modern, state-of-the-art data platform that will power the next generation of insights, personalization, and decision-making across our streaming services.

We’re looking for a data engineer to join as founding members of this platform team.

In this role, you’ll go beyond writing code: you’ll influence architecture, define engineering standards, and help foster a data-first culture. You’ll work with modern cloud-native technology, design self-service data products and build capabilities that enable teams across the organization to make smarter, faster decisions.

What You'll Build

• Design and implement scalable data pipelines - from scratch using cloud-native patterns on AWS
• Build data products – curated, self-service offerings with clear consumers, not just data dumps
• Shape platform architecture – contribute to decisions about tooling, patterns, and technical direction
• Establish engineering standards - for IaC, CI/CD, testing, monitoring, and documentation
• Enable self-service for data analysts, scientists, and product teams - empowering them with reliable, accessible data
• Own end-to-end solutions – from ingestion to delivery, across both batch and streaming systems
• Operate what you build – monitor, troubleshoot, and continuously improve production systems
  
  

Our Stack

Cloud: AWS

Processing: Databricks

IaC: Terraform

Languages: Python (Scala)

Orchestration: Airflow (and exploring modern alternatives)

We're evaluating new technologies as we build – you'll have a voice in these decisions.

What We’re Looking For 

We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following: 

• Strong data engineering foundations – you understand data modeling, pipeline design, and data quality
• Solid programming skills - Python, Java, or Scala – you write clean, testable code
• Cloud experience (AWS, GCP, or Azure) – you're comfortable with distributed systems
• Spark or similar frameworks – you've processed data at scale
• Collaborative mindset – you enjoy working in a team and explaining technical concepts
• Curiosity and pragmatism – you want to learn new things but also ship working solutions
  
  

It’s a bonus if you have: 

• Infrastructure as Code (Terraform, CloudFormation)
• Streaming/real-time data (Flink, Kafka, Kinesis)
• Platform engineering or building shared services
• Data product thinking or domain-driven design
• Open-source contributions or technical writing
• You've been part of a migration or greenfield platform project
  
  

What we offer you

Our HQ is in Stockholm, with our Tech hub based in Barcelona. You will become part of an amazing company with great people, content, and culture.

• An attractive offer with beneficial insurance, health care plan, meal vouchers, 30 days of paid vacation, flexible working hours, a hybrid model, flexible remuneration, and more!
• A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.
• An innovative environment with Hack Days once a year. This week-long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.
• Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including serier & viewing events, new release movie rentals, linear channels and more. 
  
  

Hit play today 

If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position. 

Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.   

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada29 de des.

. Python TSQL Docker Cloud Coumputing Kubernetes REST SaaS Terraform Office

Hi there!

We are Semrush, a global Tech company developing our own product – a platform for digital marketers.

Are you ready to be a part of it? This is your chance! We’re hiring for Senior Data Engineer (Data Operations Team).

Tasks in the role

General Overview

• Our data ecosystem is built on self-hosted Airflow & dbt Core, along with multiple BigQuery instances.
• The current setup was built several years ago and has become highly customized.
• While this customization supports flexibility, it now limits development speed and reduces analytics efficiency.
• We’re looking for a highly technical expert who can redesign, simplify, and standardize our DWH infrastructure.
• The focus is more on stabilizing and improving the system rather than pure feature development.
  
  

Responsibilities

• Identify and carefully resolve infrastructure inefficiencies
• Conduct audits of existing infrastructure and propose improvements
• Oversee infrastructure health, performance, and cost efficiency
• Evaluate architecture proposals from peers and provide feedback
• Make key architectural proposals
• Develop and deploy IaC using Terraform
• Create and maintain CI/CD pipelines in GitLab
• Design, build, and optimize data pipelines using BigQuery, Airflow & dbt
• Monitor and troubleshoot cloud infrastructure, pipelines, and workflows Support the development and maintenance of ML/AI tools and workflows
• Conduct code reviews for merge requests
  
  

Who We Are Looking For

Hard Skills

• Proficient in System Design & Architecture
• Strong expertise in Airflow management
• Strong expertise in dbt management
• Proficient in IaC tools (Terraform)
• Proficient in CI/CD tools (GitLab)
• Advanced knowledge of SQL
• Proficient in Python
• Experienced in Monitoring & Alerting (Grafana)
• Experience with Containers (Docker, Kubernetes)
  
  

Soft Skills

• Strong project management skills across the full delivery lifecycle: from requirement gathering and decomposition to roadmapping, prioritization, execution, and delivery
• Proactive and autonomous, able to make efficient decisions with minimal supervision
• Strategic and structured thinker
• Excellent problem-solving skills and attention to detail
• Strong communication and stakeholder management skills, with ability to build reliable partnerships
  
  

We will try to create all the right conditions for you to work and rest comfortably

• Flexible working hours
• Unlimited PTO
• Flexi Benefit for your hobby
• Employee Support Program
• Loss of family member financial aid
• Employee Resource Groups
• Meals, snacks, and drinks at the office
• Corporate events
• Teambuilding
• Training, courses, conferences
  
  

A Little More About Our Company

Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.

We've been developing our product for 17 years and have been awarded G2's Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.

10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.

Our Diversity, Equity, and Inclusion commitments

Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.

We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.

Our new colleague, we are waiting for you!

Anastasiia Bruk

Talent Acquisition Partner

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada29 de des.

Teletreball . Linux C++ Cloud Coumputing IoT

Work across the full Linux stack from kernel through GUI to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon.

The role is a fast-paced, problem-solving role that's challenging yet very exciting. The right candidate must be resourceful, articulate, and able to deliver on a wide variety of solutions across PC and IoT technologies. Our teams partner with specialist engineers from major silicon companies to integrate next-generation features and performance enhancements for upcoming hardware.

Location: This is a Globally remote role

What your day will look like

• Design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks
• Work with partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms
• Take a holistic approach to the Ubuntu experience on partner platforms with inputs on technical plans, testing strategy, quality metrics
• Participate as technical lead on complex customer engagements involving complete system architectures from cloud to edge
• Help our customers integrate their apps, SDKs, build device OS images, optimize applications with Ubuntu Core, Desktop and Server
• Work with the most advanced operating systems and application technologies available in the enterprise world.
  
  

Joining Canonical, you will partner with bright minds from all over the world, and work with an exciting set of new technologies in a fast growing company with a truly unique and ambitious vision to build a better platform with free software. You will work with customers on exciting IoT and server platforms and technologies, built to support different verticals: from robots to data centers, from telco to retail.

What we are looking for in you

• You love technology and working with brilliant people
• You have a Bachelor's degree in Computer Science, STEM or similar
• You have experience with Linux packaging (Debian, RPM, Yocto)
• You have experience working with open source communities and licences
• You have experience working with C, C++
• You can work in a globally distributed team through self-discipline and self-motivation.
  
  

Additional Skills That You Might Also Bring

• Experience with graphics stacks
• Good understanding of networking - TCP/IP, DHCP, HTTP/REST
• Basic understanding of security best practices in IoT or server environments
• Good communication skills, ideally public speaking experience
• IoT / Embedded experience – from board and SoC, BMCs, bootloaders and firmware to OS, through apps and services
• Some experience with Docker/OCI containers/K8s
  
  

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

• Fully remote working environment - we've been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at 'sprints'
• Priority Pass for travel and travel upgrades for long haul company events
  
  

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada29 de des.

. TSQL AWS Excel Tableau

Description

- This is a 6 month Internship -

Business Intelligence Engineer 2026 - Spain

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.

How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow

2026 Business Intelligence Engineer Internship - Spain

Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?

At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Business intelligence engineers use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.

The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.

The Amazon University Talent Acquisition Team are looking for ambitious students to join us as interns at the heart of our core consumer business! Internships are flexible in length to fit in with your university’s placement scheme.

Key job responsibilities

• Develop analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Write high quality code to retrieve and analyze data
• Analyze and solve business problems at their root, stepping back to understand the broader context
• Design pragmatic analyses and automated metrics that add value to your business area
• Understand data resources and how, when, and what to use (and what not to use).
• Develop analyses (whether fully formed or exploratory) for the business’ sake, not for analyses’ sake
• Seek to understand the business objectives relevant to your area, and align your work to those objectives and seek to deliver business value
• Proactively and continually, improve your level of knowledge about Amazon’s business and relevant data resources
  
  

A day in the life

Our Business Intelligence Engineer builds data pipelines, reports, dashboards, and analyses to deliver metrics and insights to the business.

Our Business Intelligence Engineers tackle some of the most complex challenges in large scale

computing, work in small teams across the company to contribute to the e-commerce platform that's used by millions of people all over the world. With that in mind, we require applicants to demonstrate their technical skills in a number of areas.

About The Team

If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.

• Competitive pay
• Impactful project and internship/role deliverables
• Networking opportunities with fellow interns
• Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
• Mentorship and career development
  
  

If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.

Internship start dates vary throughout the year.

Internship length is ideally 6 months.

Basic Qualifications

• Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
• Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields
• Work 40 hours/week minimum and commit to 6 month internship maximum
  
  

Preferred Qualifications

• Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
• Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
• Experience with data querying or modeling with SQL or Excel
• Experience with SQL
  
  

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - AWS EMEA SARL (Spain Branch) - G84

Job ID: A3126661

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada29 de des.

. Python TSQL NoSQL Cloud Coumputing Scala Hadoop AWS Kafka Spark Big Data Power BI Tableau

We’re looking for a Data Engineer to evolve our data infrastructure, optimize data flows, and guarantee data availability and quality. You will partner closely with data scientists and analysts to keep a consistent, scalable data delivery architecture across all ongoing projects.

Responsibilities

• Design, build, install, test, and maintain highly scalable data management systems
• Ensure solutions meet business requirements and industry best practices
• Integrate/re-engineer emerging data-management and software-engineering technologies into existing data stacks
• Define and document standardized processes for data mining, data modeling, and data production
• Use a variety of languages and tools to stitch systems together (e.g., Python, SQL)
• Recommend improvements to increase data reliability, efficiency, and quality
• Collaborate with data architects, modelers, and IT teams to align on project goals
  
  
  

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, or related field or equivalent proven experience as a Data Engineer, Software Developer, or similar role
• Proficiency with the Apache ecosystem (Parquet, Hadoop, Spark, Kafka, Airflow)
• Strong hands-on experience with AWS data services (Amazon Redshift, Kinesis, Glue, S3)
• Demonstrated experience building and optimizing big-data pipelines, architectures, and datasets
• Strong analytical skills working with unstructured datasets
• Experience with relational SQL and NoSQL databases, preferably Snowflake and/or Databricks
• Familiarity with data pipeline and workflow orchestration tools
• Strong project management and organizational skills
• Excellent written and verbal communication skills
• Snaplogic knowledge is a plus
  
  
  

Preferred Skills

• Proficiency in scripting languages such as Python or Scala
• Familiarity with data visualization tools (e.g., Tableau, Power BI, QuickSight)
• AWS Cloud Practitioner, Architecture, Big Data
  
  
  

#IamBoehringerIngelheim because…

With us, you can grow, collaborate, innovate, and improve lives. We offer challenges in a global, respectful, and family-like work environment where ideas drive our innovative mindset. Flexible learning and continuous development for our team are key because your growth is our growth.

At Boehringer Ingelheim, gender equality is one of our top priorities. We not only comply with current regulations but also strive to promote it in all areas of our organization, as established in our III Equality Plan. We are committed to creating an inclusive and equitable work environment for everyone!

Our Company

Why Boehringer Ingelheim?

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada28 de des.

. Python Docker Cloud Coumputing Kubernetes Machine Learning

About HappyRobot

HappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.

Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks.

You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.

About The Role

You’ll be building AI models that make human-like conversations possible. You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.

About The Role

• Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
• Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
• Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
• Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
• Ensure data quality, observability, and performance across all AI systems.
• Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.
  
  

Must Have

• Strong experience in machine learning, deep learning, and NLP.
• Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
• Proficiency in Python and familiarity with Go.
• Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
• Ability to design ML systems for robustness, scalability, and automation.
• Strong coding, debugging, and data engineering skills.
• Passion for AI infrastructure and its real-world impact.
• Founder mindset: ownership, independence, and willingness to go deep.
  
  

Nice to Have

• Experience in speech recognition, TTS, or audio processing.
• Familiarity with LLMs, generative AI, or real-time inference systems.
• Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).
• Prior experience in startup environments with fast iteration cycles.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
  
  

Why join us?

• Opportunity to work at a high-growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders
  
  

Our Operating Principles

Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.

We are “majos”

Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

Urgency with Focus

Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.

Talent Density and Meritocracy

Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.

First-Principles Thinking

Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through [email protected] subject to the GDPR.

For more information, visit https://www.happyrobot.ai/privacy-policy

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada23 de des.

Python Agile TSQL AWS

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.With the right people and the right ideas, there´s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let´s make sure you´re a good fit for the role:

Key Responsibilities
- Data Migration and Pipeline Development
- Data Modeling and Transformation
- Troubleshooting and Optimization
- Collaboration and Documentation

Must-have Skills:
- Bachelor´s or Master´s degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines.
- Solid experience with data migration projects and working with large datasets.
- Strong hands-on experience with Snowflake, including data loading, querying, and performance optimization.
- Proficiency in dbt (data build tool) for data transformation and modeling.
- Proven experience with Apache Airflow for scheduling and orchestrating data workflows.
- Expert-level SQL skills, including complex joins, window functions, and performance tuning.
- Proficiency in Python for data manipulation, scripting, and automation for edge cases
- Familiarity with PySpark, AWS Athena, and Google BigQuery (source systems).
- Understanding of data warehousing concepts, dimensional modeling, and ELT principles.
- Knowledge of building CI/CD pipelines for code deployment
- Experience with version control systems (e.g., Github).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and as part of a collaborative team in an agile environment.
- Must speak and write in English fluently; Effective communicator

Nice-to-have:
- AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

What we offer:
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards

*Specific benefits are determined by the employment type and location.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada22 de des.

Python Agile Azure Cloud Coumputing Kubernetes Git AWS DevOps Kafka Spark Big Data Machine Learning Office

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us.

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace´s convenience & reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

Backed by top investors such as Accel, Insight Partners & Naver Corp we bring our total valuation to 806 million EUR and are embarking on our international journey with the aim to become the world´s best unique goods trading platform.

The Challenge

Wallapop generates billions of data points daily. With a mature data infrastructure already in place, our Data Science and Machine Learning area is gaining significant momentum. As we scale, we face the exciting challenge of taking our ML Platform to the next level to support complex solutions in Personalization, Search, Trust & Safety, and Logistics. As a Senior ML Engineer, you will lead the evolution of our ML Platform and MLOps practice. You will partner with Data Scientists, Data Engineers, and DevOps to shape a vision that balances innovation with reliability, ensuring our models scale efficiently to serve millions of users.

What You Will Do
- Iterate and maintain Wallapop´s ML Platform, identifying opportunities to improve speed, reliability, and maintainability. You will define the long-term vision and roadmap for MLOps.
- Work hand-in-hand with Data Scientists to support their efforts, ensuring they have the tooling to develop, deploy, and monitor scalable models efficiently.
- Define and promote engineering best practices (coding standards, testing, CI/CD) within the ML domain.
- Partner with Data Engineering and DevOps to align ML development with company-wide infrastructure and data governance standards.
- Investigate and integrate new frameworks and tools (e.g., for LLMs or real-time inference) to keep our stack modern and effective.

What We´re Looking For
- Proven experience building and owning production-ready ML platforms and pipelines. You understand the full lifecycle from experimentation to monitoring.
- Deep understanding of AWS components (SageMaker, Lambda, S3) and container orchestration with Kubernetes.
- Strong software engineering background with proficiency in Python, Git, and CI/CD workflows. You write robust, testable code.
- Experience with real-time ML architectures, leveraging tools like Kafka for low-latency ingestion and inference.
- Hands-on experience with vector databases or semantic search infrastructure (e.g., OpenSearch, Vertex AI), including indexing and retrieval tuning.
- Familiarity with the broader ML toolkit, such as orchestration/tracking tools (Flyte, MLFlow, Feast) and standard libraries (Pandas, Scikit-learn, TensorFlow/PyTorch).
- Professional proficiency in English and Spanish, with the ability to explain complex technical concepts to diverse stakeholders.

What Would Be A Plus
- Hands-on experience working with LLMs, RAG architectures, and libraries like LangChain or LlamaIndex.
- Familiarity with Big Data technologies like Spark or Beam.
- Experience with Data Engineering tools such as Airflow, dbt, or Datahub.
- Experience with other cloud platforms like GCP or Azure in addition to AWS.

Do note that all our jobs are Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits:
- Competitive phantom shares package for all employees
- Generous individual learning budget of 2k per year
- Group and individual English, Catalan & Spanish lessons as part of our working day
- Private Health Insurance with Alan
- Flexible working hours + intensive Fridays
- Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
- Gym & Wellness plan, including physiotherapist in the office
- Generous referral Program & Charity Donation
- Bonus for weddings & newborns
- Wallapop Renta (Tax income support)
- Monthly plan for free shipping, bumps & home-pick-up on our services
- Work anniversary Gifts and Birthday Surprises
- Contribution towards your WIFI in your monthly payroll
- One-off payment based on compensation package to go towards setting up your home office
- Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
- 26 holidays per year
- TOP hardware of your choice (latest Apple or Windows)

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada6 de jul.

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Descripción de la empresa

Inetum es líder europeo en servicios digitales. El equipo de 28.000 consultores y expertos de Inetum se esfuerza cada día por lograr un impacto digital en las empresas, en las entidades del sector público y en la sociedad. Las soluciones de Inetum quieren contribuir al rendimiento y la innovación de sus clientes, así como al interés general.

Presente en 19 países con una red de centros densa, Inetum colabora con los principales fabricantes de software para afrontar los retos de la transformación digital con proximidad y flexibilidad.

Nuestros 28.000 atletas digitales están orgullosos de haberse certificado Top Employer Europe 2025.

Descripción del empleo

Nos encontramos en la búsqueda de un/a Data Engineer que formará parte de un equipo Data para la implementación del nuevo modulo de operaciones del cliente en la nueva plataforma Microsoft Fabric.

Requisitos

• Carrera universitaria de ingeniería o equivalente
• Mínimo 3 años de experiencia como ingeniero de datos
• Conocimiento de pyspark
• Conocimiento de herramientas de ETL, ya sea datafactory, databricks o Sql server integration services
• Se valorara muy bien si ha trabajado en Fabric, pero al ser tan nuevo es un añadido y no requerimiento.
• Idioma catalán requerido.
  
  
  

Información adicional

¿Qué ofrecemos?:

👩🏼🎓 Programa de formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti.

✍🏼 Contrato indefinido y estabilidad.

💵 Retribución flexible y más beneficios

🕓 Flexibilidad horaria.

💻 Modalidad de teletrabajo híbrido o remoto.

🚀 Te ofrecemos un entorno dinámico, en el que tu plan de carrera y crecimiento será nuestro objetivo.

💝 Buen ambiente de trabajo, abiertos e inclusivos.

🙋♀️ Formarás parte de un gran equipo de profesionales con inquietud y motivación por la tecnología.

🚀¿Eres la persona que buscamos? Inscríbete en nuestra oferta y haznos llegar tu perfil completo. ¡Estamos deseando contar contigo!🚀