Ofertas de empleo de Ingeniero/a de Datos en Málaga

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada12 mar.

TSQL Scala Hadoop Spark Big Data

This role seems like a great opportunity for someone with experience in data and a strong understanding of Big Data technologies, especially in the context of market risk. Below is how you could structure the tasks and requirements more clearly for a candidate interested in the position:

Responsibilities:

Process Definition and Automation:

Actively participate in the definition of processes related to data management within the Datahub of Markets.

Automate data tasks and processes using Big Data technologies (especially Spark and Scala).

Prepare the necessary data for system integration and ensure its quality.

Open requests following internal procedures for process automation and configuration.

Perform integrated testing and.
collaborat, th the quality team to validate the execution of the process.
Collaboration in Market Risk Analysis:

Work with Market Risk teams to ensure that the data and models align with the needs of the risk department.

Collaborate in validating the accuracy and reliability of the data models used for risk analysis.

Requirements:

Technical Knowledge:

Advanced knowledge of SQL, especially in managing and analyzing large volumes of data.

Experience in data model design for efficient and scalable Big Data analysis.

Practical experience in performing data testing and validation to ensure process accuracy. ↓

Intermediate/advanced English to collaborate with international teams and understand technical documentation in English.
Desirable Skills (Not Required):

Technical knowledge of programming languages such as Scala and Big Data platforms like Spark, Hadoop.

Experience in technology projects in the banking sector, particularly in the area of financial risk analysis or data management.

Knowledge of financial products and market risk metrics, which can be useful for understanding data flows and the specific needs of the risk department.

This role seems more focused on process management and data quality rather than pure development, though technical knowledge is still valued, especially in the Big Data context. If you have experience in these areas and a good understanding of financial processes, this could be a great next step in your career within the field of risk analysis.

Role Description (in English)

Participation in the tasks of the Datahub of Markets to carry out tasks as a Data Engineer in the definition and automation of processes developed using Big Data technologies (Spark Scala) in Market Risk. The main functions will not be development-focused but rather process definition, data preparation, initiating requests following the department´s procedures for automation and process configuration, integrated testing execution, and validation of the processes.

Requirements:

Advanced knowledge of SQL statements.

Experience in data model design.

• Flexibilidad horariaSí
• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada4 mar.

Python Agile TSQL Linux Docker Git Jira AWS Excel Terraform Kafka Spark Office

At Marbill, we´re passionate about empowering businesses to succeed in the competitive world of e-commerce. Our innovative software solutions help merchants manage customers, mitigate risk, streamline payments, and enhance service offerings, ultimately optimizing their financial operations.

Join Marbill Technologies and thrive in a dynamic, global e-commerce environment!

What we offer:

- Flexible working hours – Work when you´re most productive!
- Hybrid positions – Enjoy the best of both worlds, remote & office work.
- Top-notch equipment – Everything you need to excel in your role.
- Private health insurance – Your well-being matters to us.
- Referral bonuses – Get rewarded for bringing great talent on board.
- Comprehensive training – We invest in your growth from day one.
- Competitive salary – Based on your experience, with regular reviews.
- 25 days of annual leave – Recharge and enjoy your time off.
- Lunch & snacks – Keep energized throughout the day.
- Parking available – Convenient and stress-free.\
- Sunshine almost every day – Work in a beautiful, sunny location.

We are an ambitious, fast-moving team that thrives in a dynamic and agile environment. Our professionals, hailing from over 30 countries, are resilient, accountable, and solution-oriented. We make things happen quickly, embracing challenges with fresh ideas and a focus on impactful results. We equip our team with the tools and support they need to succeed, fostering both professional and personal growth.

If you´re looking to boost your career, now is the perfect opportunity! We are currently seeking a Senior Data Engineer to join our dynamic team

What you’ll do:
- Design, develop, and optimize scalable data pipelines to ensure smooth data operations.
- Debug and troubleshoot Airflow tasks for efficient workflow execution.
- Write and maintain high-performance Python code for data engineering tasks.
- Develop and optimize SQL queries for relational databases.
- Manage and maintain cloud-based infrastructure, particularly AWS services.
- Utilize Git for version control and effective collaboration with the team.
- Oversee deployments and work with Jupyter Notebooks for data analysis and documentation.
- Provide technical mentorship to junior team members and contribute to best practices.

What you’ll bring:

- Minimum of 5 years of experience as a Data Engineer.
- Strong proficiency in SQL and relational database management.
- Hands-on experience with AWS services, including S3, Athena, and SageMaker.
- Advanced knowledge of Python for data engineering and automation tasks.
- Familiarity with Airflow for workflow orchestration.
- Comfortable working in a Linux environment and using Linux commands.
- Experience with Agile methodologies and tools like Jira.
- Strong problem-solving skills and ability to work effectively in a team environment.
- Experience optimizing Data Science scripts and deploying them into production environments

Bonus Skills:
- Experience working with data lakes and data warehouses.
- Knowledge of containerization tools like Docker.
- Exposure to infrastructure-as-code tools such as Terraform.
- Experience with distributed computing frameworks (e.g., Spark).
- Familiarity with real-time data processing tools such as Kafka.

Apply now and let’s make an impact together!

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada28 feb.

Agile TSQL Azure Scrum Cloud Coumputing Hadoop Spark Big Data Office

Data Engineer

As a Data Engineer you will oversee data ingestion processes and deployment of ML/IA solutions for predictive analysis for an energy sector customer. You will collaborate with Data Scientist and Data Engineers to achieve project and client goals on a very dynamic environment.

The opportunity

As a member of our team in GDS office in Malaga, Spain, you´ll have a chance to extend your knowledge & experience by working on the interesting projects with the newest technologies and approaches. You´ll support clients in choosing the most suitable business solution and take part in digital transformation.

Your key responsibilities

As a Data Engineer, you will work on the design of end-to-end pipelines for enterprise data loading from different sources, deployment of ML/IA solutions for predictive analysis and improvements on quality of data.

You will also collaborate with the product development teams (business analysts, product owners, developers) to deliver high quality solutions for our customers.

To qualify for the role, you must have
- Degree on Statistics, Maths, Informatics or similar.
- 3-4 years of experience as Data Engineer
- Experience in Azure: Databricks, DataFactory, Synapse
- Database knowledge, SQL, OLTP/OLAP
- Experience of Big Data (i.e Spark, Hadoop)
- Very good communication skills in terms of capturing requirements, describing architecture, data flows, etc.

Ideally, you´ll also have
- Knowledge of cloud solutions
- Experience on Agile and SCRUM methodology.

What we look for

We are a dynamic team of passionate specialists, working in international teams all over the world. As part of the Data team, we look for "out of the box thinking" professionals that will build good relationships with our clients. If you want to be a part of this journey, we are looking forward to seeing you on board!

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across eight locations - Argentina, China, India, Philippines, Poland, UK, Hungary and Spain - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We´ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
- Continuous learning:You´ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We´ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We´ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture:You´ll be embraced for who you are and empowered to use your voice to help others find theirs.