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1.134Palantir Foundry Data Engineer – Consulting
12 de jul.DACH Data Matters
Madrid, ES
Palantir Foundry Data Engineer – Consulting
DACH Data Matters · Madrid, ES
. Agile
This AI & data analytics consulting firm seeks an agile Palantir Foundry Engineer to design and deploy complex industrial…
Data Engineer II
12 de jul.Expedia Group
Madrid, ES
Data Engineer II
Expedia Group · Madrid, ES
. Java Python Agile TSQL Docker Cloud Coumputing Scala AWS Kafka Spark
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Are you a Data engineer looking to join a leading technology company to build products and features? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to somewhere, possible? If this sounds like you, keep reading!
Introduction to team
Expedia B2B is the B2B arm of Expedia Group. We provide the scale, innovative technology and supply of Expedia Group to businesses looking to take on the world of travel. Through these partnerships we power experiences for millions of consumers globally, helping drive brand loyalty and growth for our partners, and Expedia Group.
We're constantly looking for opportunities to improve the breadth and depth of the products we offer. From a strategic standpoint, our ambition is to unlock the power of Expedia for partners. Our mission is to fuel our partners’ growth through our unparalleled technology, travel supply and support services. We are about travel, but also about state-of-the-art technology, AI and ML. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and use cloud capabilities on positive and exciting test and learn environment.
As today, the streaming platform ingests more than 3.6b domain event messages per day, 11.5 TB, that we enrich and transform, making it available for all internal functions, people and services.
If you are someone with a growth mindset and love solving complex and challenging problems, come join us on this exciting journey.
In This Role, You Will
- Developing various facets of data capture, data processing, storage, distribution and visualization
- Understanding and applying AWS standard methodologies and products (compute, storage, databases)
- Writing clean, maintainable and well-tested code
- Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency)
- Communicating and documenting solutions and design decisions
- Proposing new ways of doing things and contribute to the system architecture
- Be part of an agile team that is continuously learning and improving.
- Experience with at least one modern programming language (e.g. Scala, Python or Java etc)
- Experience delivering and supporting highly available and scalable solutions with large transaction volume
- Experience in working with Relational Databases and proven knowledge of SQL
- Experience of using cloud services (e.g. AWS)
- A passion for learning, especially in the areas of data, technology, service design patterns and system architecture
- Be self-motivated with drive and good organizational skills to work in a multi-disciplinary team.
- A friendly and collaborative team who are keen to share their knowledge and constantly learn new things
- A bias for action
- You will get the opportunity to work on a cloud-based data lake backed by the full suite technologies and including Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR and Docker.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits And Perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.
You can find the benefits for this location and any collective agreement that may apply here.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Data Engineer Azure / Databricks
12 de jul.Altia
Data Engineer Azure / Databricks
Altia · Madrid, ES
Teletreball . API Python Azure Cloud Coumputing REST SQL
🤗 #BEPARTOFTHEGROWTH ALTIA
Somos un equipo de 4.000 profesionales que creamos soluciones digitales preparadas para el futuro, capaces de generar valor real y provocar cambios significativos.Repartidos en más de 30 localizaciones de 10 países, sumamos nuestra energía aplicando nuestra visión innovadora de la tecnología a proyectos para más de 1.000 organizaciones que son motores del cambio.Llevamos 30 años con un propósito: crecer haciendo crecer, y hacerlo, además, de forma sostenible y duradera. Tenemos claro que solo seremos importantes si juntos aportamos un impacto positivo y todos evolucionamos en el proceso.Queremos estar siempre cerca de nuestros clientes, evolucionando juntos y aprovechando al máximo las oportunidades.
🚀 #SEEKINGYOU En ALTIA seguimos creciendo y buscamos un/a Data Engineer Azure / Databricks para unirse a nuestro equipo de Data Analytics. Se trata de un proyecto estable, indefinido y de gran envergadura en el que te encargarás del desarrollo de productos de datos dentro de la plataforma corporativa global.
⭐ ¿QUÉ TENEMOS PARA TI?
- Modelo de trabajo híbrido o remoto.
- Formar parte de una empresa en crecimiento, donde la innovación y la calidad son nuestras prioridades.
- Horario estándar Altia con flexibilidad y jornada de verano.
- Puesto estable con contrato indefinido y perspectivas de crecimiento según tus intereses profesionales.
- Plan de formación continua que te permitirá evolucionar en tu carrera profesional.
- Formarás parte de un equipo consolidado y con experiencia.
- Retribución flexible y competitiva.
¿Te ha parecido interesante? ¡inscríbete en la oferta!
#BePartOfTheGrowth
Requisitos mínimos
Buscamos a una persona autónoma, con capacidad de interlocución y atención al detalle, que aporte:
- Al menos 5 años de experiencia profesional como Data Engineer.
- Mínimo 3 años de experiencia específica con Databricks, desarrollando procesos ETL/ELT eficientes y escalables.
- Experiencia real en desarrollo e integración con Unity Catalog.
- Mantenimiento avanzado de tablas Delta Lake (optimización, particionado, patrones merge/append y dimensiones lentamente cambiantes - SCD2).
- Sólido dominio de Python, PySpark, SparkSQL y T-SQL.
- Experiencia en orquestación de flujos con Azure Data Factory.
- Experiencia integrando fuentes de datos de distintos sistemas y formatos (REST API, bases de datos relacionales, ficheros JSON, Parquet, Delta, etc.).
- Conocimientos de infraestructura y servicios cloud en Microsoft Azure.
- Certificación obligatoria Databricks (Databricks Certified Data Engineer Associate o Professional).
- Inglés nivel C1 (imprescindible para el entorno internacional del proyecto).
Senior Data Platform / Data Engineer
12 de jul.Straumann Group
Madrid, ES
Senior Data Platform / Data Engineer
Straumann Group · Madrid, ES
. Python Kubernetes AWS PostgreSQL Machine Learning
Straumann Group
At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.
About The Role
We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.
A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.
What You Will Work On
You will play a key role in shaping the next generation of our data platform.
Typical Responsibilities Include
Data platform ownership
- Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
- Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
- Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
- Improve workflows for dataset versioning and reproducibility using tools such as DVC.
- Design solutions for managing multiple versions of datasets and annotations across experiments and models.
- Improve the ability for researchers to retrieve the correct dataset versions reliably.
- Build and maintain scalable data pipelines in Python.
- Improve metadata management, dataset validation, and data quality monitoring.
- Optimize data workflows across AWS-based infrastructure.
- Work closely with ML researchers and ML engineers to understand their data needs.
- Support research workflows with reliable and efficient data access patterns.
- Help translate research requirements into robust platform capabilities.
- Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
- Ensure our data infrastructure meets the requirements of regulated AI development.
What we’re looking for:
- Strong Python engineering skills
- Experience building data pipelines or data platforms
- Experience working with AWS
- Experience working with large datasets used in ML workflows
- Strong software engineering practices (testing, CI/CD, documentation)
- Experience collaborating with ML teams or working in AI environments
- Experience with dataset versioning tools such as DVC
- Experience with Kubernetes
- Experience with data lakehouse architectures
- Experience working with annotation pipelines or ML training datasets
- Experience with PostgreSQL, Metabase, or similar data tooling
- Experience working in regulated environments (medical / healthcare AI)
- AWS
- Python
- Kubernetes
- PostgreSQL
- Metabase
- DVC for dataset versioning
- Internal Data Lakehouse infrastructure
Employment Type: Full Time
Alternative Locations: Spain : Madrid
Travel Percentage: 0 - 10%
Requisition ID: 20071
20071
Data Engineer
10 de jul.Super
Madrid, ES
Data Engineer
Super · Madrid, ES
. Python TSQL Cloud Coumputing AWS Kafka
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
Are you excited about building modern data infrastructure that empowers self-service analytics at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable — partnering with product and business teams to measure what matters. You'll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.
What The Role Involves
- Design, build, and optimise scalable ETL/ELT pipelines for high-volume, fast-changing datasets.
- Apply proven data warehouse methodologies (e.g. Kimball, Inmon) to design and deliver trustworthy, performant data models.
- Develop and maintain semantic layers and curated data marts to enable analytical self-service across the company.
- Orchestrate reliable workflows with modern tooling such as Apache Airflow.
- Enforce data quality, lineage, and observability practices to ensure confidence in our data products.
- Partner with product, analytics, and engineering teams to co-create scalable data solutions that deliver measurable business value.
- Raise the engineering bar through code reviews, testing, automation, and architectural improvements.
- Strong SQL and Python skills, with solid understanding of distributed data systems and modern data architectures.
- Deep knowledge of dimensional data modelling (Kimball, Inmon) and hands-on experience building analytical layers in data warehouses such as Snowflake or BigQuery.
- Hands-on experience with cloud platforms (AWS preferred; Azure/GCP also valuable).
- Workflow orchestration experience with Airflow or similar tools.
- Strong ownership mindset — able to work independently, structure work, and partner effectively with technical and non-technical stakeholders.
- Excellent communication skills with a collaborative, problem-solving approach.
- Based in Madrid or surrounded area, as this role requires hybrid working.
- Experience with real-time streaming technologies such as Kafka or similar.
- Experience with cloud-native analytical databases such as Snowflake.
- Multi-cloud exposure and understanding of platform trade-offs.
- Background in product-led or experimentation-driven environments.
- Experience with data governance, cataloguing, and documentation practices (e.g. DataHub).
- Medical / Health Insurance
- Open Annual Leave
- Employee Assistance Programme
- Training & Learning Development
About Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).
At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
Data Engineer - Power BI
9 de jul.Altia
Data Engineer - Power BI
Altia · Madrid, ES
Teletreball . TSQL Power BI
#SomosAltia
Llevamos más de 30 años creando soluciones digitales preparadas para el futuro, capaces de generar valor real y provocar cambios significativos.
Somos un equipo de más de 4.000 grandes profesionales repartidos en más de 30 localizaciones de 10 países que, desde 1994, suman su energía y aplican su visión innovadora de la tecnología a proyectos realmente relevantes, para más de 1.000 organizaciones que son motores del cambio.
Nos mueve un claro propósito: crecer haciendo crecer, y hacerlo, además, de forma sostenible y duradera. Tenemos claro que solo seremos importantes si juntos aportamos un impacto positivo y todos evolucionamos en el proceso.
Con unos valores intactos, somos una de las primeras compañías independientes del sector. Altia cotiza, desde 2010, en el BME Growth, el mercado de las empresas en expansión.
¡Buscamos talento!
¿Quieres contribuir a un proyecto que impacta directamente en el sector retail? 👖
¡Forma parte de nuestro equipo como Data Engineer - Power BI developer y participa con nosotros en el desarrollo de procesos en Snowflake con SQL.
Requisitos mínimos
- Experiencia mínima 2-3 años.
- Ingeniero de datos orientado a BI para desarrollo de procesos en Snowflake con SQL y en herramienta de reporting PowerBI.
- Solvencia en SQL demostrada.
- Haber trabajado en proyectos donde se manejan grandes volúmenes de datos, donde el rendimiento jugase un papel importante
- Solvencia con Power BI: diseño y optimización de dashboards, uso de lenguaje DAX.
- Valorable conocimientos en Snowflake.
- Modelo teletrabajo 100% o modelo híbrido desde alguna de nuestras oficinas.
- Puesto estable con perspectivas de crecimiento según tus intereses profesionales.
- Plan de formación continua 🚀 que te permitirá evolucionar en tu carrera profesional.
- Formarás parte de un equipo consolidado y con experiencia 💪
- Retribución flexible y competitiva.
#🌐Altia
Ingeniero/a Datos IA
6 de jul.Santalucía Seguros
Madrid, ES
Ingeniero/a Datos IA
Santalucía Seguros · Madrid, ES
. Python TSQL Azure NoSQL Scrum Maven Cloud Coumputing Git AWS Agile Kanban Spark Big Data Machine Learning
Descripción del puesto:
MISIÓN.
Participación en el diseño, implementación y soporte de los procesos de tratamiento de datos e IA en la plataforma Analítica Avanzada y la Plataforma Agéntica, basada en tecnologías Cloud BIG DATA/IA.
Desarrollo de soluciones para el tratamiento del dato tanto para soluciones de Datos e IA, dentro de equipos multidisciplinares, definiendo y aplicando la metodología de uso de la tecnología.
Diseño y desarrollo de frameworks que permitan optimizar esfuerzos y reducir el tiempo de entrega de casos de uso.
Generación de valor y ventajas competitivas, aplicando propuestas tecnológicas innovadoras, mejorando procesos de gestión y de negocio.
RESPONSABILIDADES DEL PUESTO
- Diseñar, desarrollar, probar y optimizar los pipelines de datos de la Plataforma Analítica Avanzada.
- Definir y desarrollar frameworks de desarrollo de IA Generativa, estableciendo buenas prácticas.
- Experiencia en definición y desarrollo de soluciones de IA Generativa (RAG, RA-DIT o Fine-Tunning).
- Definir estándares de gestión de datos, proyectos de machine learning, datos no estructurados, etc.
- Colaborar con Analistas de Negocio y Científicos de Datos para comprender sus necesidades de datos y diseñar soluciones adaptadas a sus requisitos.
- Participación en diseños técnicos y gestión de equipos y de proyectos.
- Negociar y gestionar propuestas con un grado de complejidad técnico elevado.
- Mantenerse al tanto de las últimas tendencias y tecnologías en el campo de la ingeniería de datos
REQUISITOS
Experiencia requerida:
- Al menos 4 años de experiencia.
- Experiencia en diseño y desarrollo de pipelines de datos.
- Experiencia en diseño y desarrollo de agentes IA
- Experiencia en motores de procesamiento batch (Spark).
- Experiencia en motores de bases de datos (SQL, NoSQL).
- Experiencia en entornos cloud (AWS, Azure, GCP).
- Experiencia en desarrollo de procesos ETL.
- Metodologías ágiles (Scrum, Kanban, ...)
- Lenguajes: Python
- Frameworks IA: LangChain, LlamaIndex
- Herramientas desarrollo (GIT, Maven, SBT, ...)
Valorables:
- Experiencia en motores de procesamiento distribuid (Apache Spark)
- Experiencia trabajando con plataforma de datos cloud Databricks.
- Experiencia gestionando proyectos de Machine Learning y procesos MLOps.
- Experiencia desplegando modelos LLM en una plataforma Cloud.
Conocimientos Requeridos:
- Titulación requerida: Graduado en ingeniería informática u otra ingeniería técnica.
- Experiencia profesional: Especialización en big data, Fundamentos de IA Generativa, Fundamentos de LLMOps y Fundamentos de Ingeniería de Software.
- Conocimiento Idiomas: inglés, medio/alto
Habilidades:
- Buen comunicador y con visión de negocio.
- Pensamiento crítico, analítico y con actitud proactiva.
- Adaptación continua al cambio.
- Gran capacidad de aprendizaje.
- Habilidades para trabajo en equipo.
En el SANTA LUCIA S.A,CªSEGUROS trabajamos para garantizar una igualdad de oportunidades real y efectiva que nos permita promover el desarrollo profesional y la diversidad laboral, en línea con nuestro compromiso con el ODS 5 (Igualdad de Oportunidades) de la Agenda 2030 de Naciones Unidas.
BETWEEN Group
Getafe, ES
Ingeniero/a de Sistemas IT – Entorno Industrial (Junior)
BETWEEN Group · Getafe, ES
.
En BETWEEN apostamos por el mejor talento dentro del ámbito de la ingeniería y la automoción. Actualmente contamos con un equipo de más de 1000 personas, colaborando en proyectos punteros con clientes líderes en innovación y desarrollo tecnológico.
Buscamos un/a Ingeniero/a relacionado/a con el ámbito de la Informática / Sistemas para incorporarse de forma presencial en la planta industrial de Fuenlabrada.
La persona seleccionada formará parte del departamento IT dando soporte a las aplicaciones implementadas en fábrica, trabajando estrechamente con usuarios internos y proveedores.
¿Cuál será tu misión?:
Tu principal responsabilidad será dar soporte funcional y operativo a las aplicaciones implantadas en el entorno productivo.
Entre Tus Funciones Estarán
- Soporte a usuarios finales en aplicaciones de fábrica (recogida de datos de producción, declaraciones de fabricación, etiquetado, etc.).
- Análisis y resolución de incidencias funcionales.
- Identificación de mejoras y participación en su implementación.
- Realización de pruebas (testing) de mejoras o nuevas funcionalidades.
- Supervisión diaria del correcto funcionamiento de las aplicaciones implantadas.
- Colaboración con el IS Manager en la implementación de nuevos proyectos.
- Coordinación puntual con proveedores externos.
- Asegurar el cumplimiento de los estándares definidos por el Grupo.
- Te integrarás en un equipo multidisciplinar.
- Formarás parte de proyectos de gran impacto, donde podrás aprender sobre procesos logísticosindustriales.
- Dispondrás de contratación estable y oportunidades de crecimiento profesional dentro de BETWEEN.
- Contrato indefinido.
- Seguro médico privado.
- Plan de formación y desarrollo profesional: idiomas, certificaciones, cursos online, bootcamps.
- Retribución flexible: ticket restaurante, transporte, guardería.
- Descuentos en fitness y actividades de ocio (Wellhub / Gympass, Inspiring Benefits).
- Eventos de networking y team building: Between Nights, torneos deportivos, afterworks, etc.
- Programa de recomendación de talento remunerado.
Requisitos
- Imprescindible Grado universitario en Ingeniería Informática o titulación universitaria similar relacionada con el ámbito IT.
- No es imprescindible experiencia previa.
- No se buscan perfiles enfocados principalmente al desarrollo de software.
- Nivel de inglés medio-alto (B2), con capacidad para comprender documentación técnica y mantener conversación fluida.
- Capacidad analítica y orientación a la resolución de problemas.
- Persona organizada, rigurosa y con buena comunicación.
- Proactividad, actitud de aprendizaje y capacidad de trabajo en equipo.
- Disponibilidad para trabajo 100% presencial en planta.
- Vehículo propio imprescindible.
- Se valorará positivamente experiencia o prácticas en soporte de aplicaciones.
- Se valorará experiencia en entornos industriales o productivos.
- Se valorará experiencia en análisis y resolución de incidencias funcionales.
Process Analytics Factory - PAFnow by Celonis
Madrid, ES
Senior Finance Systems Engineer (Workday Financials)
Process Analytics Factory - PAFnow by Celonis · Madrid, ES
. Agile Scrum SaaS ERP Office
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
About The Team
The Global ERP Systems team enables Celonis' Finance organization through scalable, reliable, and innovative enterprise applications. We partner closely with the Finance organization to continuously improve financial processes, automate manual work, and ensure the integrity of financial data across our systems landscape.
Our team organizes our project work on a Scrum framework to focus on continuous delivery, continuous improvement, and agility. As part of our agile team, you'll contribute to the evolution of our Finance Systems ecosystem while working alongside experienced functional and technical specialists in a collaborative, fast-paced environment.
The Role
We're looking for a Senior Finance Systems Engineer with deep expertise in Workday Financials to help design, build, and continuously improve our enterprise Finance Systems landscape.
Reporting to the Head of Finance Systems, you'll serve as a senior technical partner to Accounting and Finance stakeholders, translating complex business requirements into scalable Workday solutions. You'll independently lead the technical delivery of strategic initiatives, drive system improvements, and ensure our financial applications continue to support a fast-growing global business.
You'll have significant ownership over end-to-end solution delivery—from discovery and solution design through implementation, testing, deployment, and post-production support—while collaborating closely with Finance Systems leadership to align on technical direction, contribute to platform evolution, and ensure solutions support the long-term scalability of our ERP ecosystem.
This role is ideal for someone who enjoys being the technical expert in the room—partnering with stakeholders to solve complex Finance Systems challenges while contributing to the evolution of the platform under the guidance of Finance Systems leadership.
What You'll Do
Solution Design & Delivery
- Lead the functional and technical design of complex Workday Financials enhancements across multiple business domains.
- Translate accounting and finance requirements into scalable, maintainable system solutions.
- Evaluate solution options, identify trade-offs, and recommend implementation approaches aligned with platform standards.
- Independently lead technical discovery sessions for medium to large initiatives.
- Own end-to-end technical delivery for assigned initiatives, from discovery and solution design through testing, deployment, and production support.
- Provide technical guidance and support to other Finance Systems Engineers during complex solution design and discovery sessions, sharing best practices and helping ensure scalable, high-quality solutions.
- Configure and optimize Workday Financials while ensuring consistency, scalability, and data integrity.
- Design solutions that accurately translate operational activity into financial transactions, journal entries, and financial reporting.
- Drive continuous improvements through configuration, automation, and process simplification.
- Produce and maintain high-quality technical documentation and solution designs.
- Design and implement lightweight integrations and workflow automations using Make.com (a Celonis company) and other integration platforms.
- Partner with integration engineers and external system owners to ensure reliable end-to-end financial data flows.
- Troubleshoot integration issues and identify opportunities to improve resilience, scalability, and maintainability.
- Serve as a trusted technical partner to Corporate Accounting during projects, month-end close improvements, and production support.
- Investigate complex functional issues and perform root cause analysis across Workday and connected systems.
- Support Finance teams in evaluating, testing, and adopting new functionality delivered through Workday biannual releases.
- Evaluate new Workday capabilities and emerging technologies that could improve Finance operations.
- Contribute technical recommendations for platform enhancements and process optimization.
- Participate in Workday biannual release planning, impact assessments, testing, and implementation.
- Extensive experience supporting Workday Financials in a complex enterprise environment.
- Strong functional knowledge across multiple Workday Financials modules, including General Ledger, Procurement, Accounts Payable, Expenses, Banking, Billing, Accounts Receivable, and/or Revenue Management.
- Expert-level proficiency in configuring Workday business processes, security frameworks, custom reporting, and complex calculated fields.
- Proven experience leveraging EIBs for efficient data management.
- Solid understanding of accounting principles, financial reporting, journal entries, and financial data flows.
- Strong experience leading end-to-end solution delivery, from discovery and solution design through testing, deployment, and post-production support.
- Strong experience designing system solutions that balance business requirements with technical best practices.
- Experience working with Workday integrations, EIBs, middleware platforms, or similar integration technologies.
- Experience working within Agile software delivery teams.
- Full professional proficiency in English is required.
- Experience working within Agile delivery teams using Scrum methodologies.
- Experience mentoring or providing technical guidance to engineers during complex solution design and implementation.
- Experience supporting global Finance organizations.
- Exposure to AI-enabled productivity tools (e.g., Google Gemini, GenAI assistants) within enterprise environments.
The ideal candidate enjoys solving complex business problems through technology and thrives in a collaborative environment. They are comfortable working independently, partnering with Finance stakeholders, and owning technical delivery from discovery through implementation while collaborating closely with Finance Systems leadership on overall platform direction.
Success in this role means delivering scalable, maintainable solutions, continuously improving our Finance Systems landscape, serving as a trusted technical advisor for complex initiatives, and helping elevate engineering best practices across the team.
What Makes You Successful
- Strong systems-thinking mindset with the ability to simplify complex financial processes.
- Excellent communication skills with the ability to translate between technical and accounting audiences.
- Comfortable working autonomously while knowing when to seek alignment on broader architectural or strategic decisions.
- Naturally curious with a continuous improvement mindset.
- Collaborative, pragmatic, and focused on delivering sustainable solutions.
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.
- Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.
- Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.
- Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.
- Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.
- Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.
- Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.
- Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision.
Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.
Get familiar with the Celonis Process Intelligence Platform by watching this video.
Celonis Inclusion Statement
At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen.
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