Overview
Location: Xerox
Obtenga más información sobre este puesto leyendo los detalles a continuación y luego envíe su solicitud para ser considerado.
Client / Employer: Xerox
Job reference: 2c3d6712ad9faf80753f48d259638bb1
Listing type: Basic
EU work permit required: No
Posted: 31.05.2026
Closing date: 15.07.2026
Role
Senior Data Engineer Medicine & Analytics This role offers more than a position — it provides the opportunity to shape the future of data and analytics within Medicine. As a Senior Data Engineer Medicine & Analytics, you will be part of IT EDP, AI & Platforms and will build and evolve reliable, scalable data products that enable high‑impact insights, accelerate decision‑making, and improve patient outcomes. You will be a key contributor in delivering a modern data ecosystem across cloud and enterprise platforms. With a strong engineering mindset, you’ll drive change, embrace continuous improvement, and thrive in a fast‑moving environment where priorities evolve day by day. This position can be filled in different countries: If you want to apply for the position in Germany, please use this link: coming soon If you want to apply for the position in Spain click \"Apply now\".
Responsibilities
* Design, build, and operate end-to-end data pipelines and integrations (batch and event driven), using SnapLogic and AWS services (S3, Lambda, Glue) to ensure scalable ingestion, transformation, and orchestration.
* Develop performant analytics-ready data models and transformation layers, leveraging Snowflake and dbt for modeling, testing, documentation, and efficient deployment.
* Ensure strong data governance, quality, and lifecycle management, working with Collibra for metadata/lineage and Attaccama for data quality rules, monitoring, and remediation, and supporting product lifecycle processes through Innovator.
* Drive engineering excellence and operational reliability, applying best practices in version control, CI/CD, code reviews, observability, alerting, automation, and self-healing mechanisms.
* Collaborate closely with cross-functional partners (Product Owners, Data Scientists, Analysts, Architects, and business stakeholders) to translate needs into reliable, reusable, secure, and compliant data assets.
Requirements
* Master’s Degree in Computer Science, Engineering, Data/Information Systems, or a related field, with several years of relevant experience in data engineering, analytics engineering, or similar roles, or a bachelor’s degree with more relevant experience.
* Solid knowledge of software engineering fundamentals (Python/SQL, Git, coding standards, automated testing, and production support practices).
* Hands-on experience building integrations and pipelines using tools such as SnapLogic (or comparable iPaaS) and cloud services — specifically AWS S3, Lambda, and Glue, as well as proven experience with dbt (models, tests, macros, documentation, environments, CI/CD integration) and strong experience with Snowflake including data modeling, performance tuning, and secure data access patterns.
* Familiarity with data governance and metadata management, ideally with Collibra; understanding of lineage, stewardship, and data catalog practices.
* Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment as well as strong stakeholder management, analytical thinking, and structured problem-solving skills.
* Excellent English (oral and written) and communication skills.
Benefits
* Flexible working conditions
* Life and accident insurance
* Health insurance at a competitive price
* Investment in your learning and development
* Gym membership discounts
EEO
All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.
Xerox · Bucharest, Bucharest, ROM, Romania
Xerox · Bucharest, Bucharest, ROM, Romania
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