Data Engineer (F/M)

Position

We are currently looking for a candidate for the position of Data Engineer (he/she) for our client from the pharmaceutical industry.

Additional Information

Project focuses on migrating an existing data warehouse to a new analytics platform.

The goal is to transfer historical and ongoing data processing to a modern data ecosystem while preserving data meaning, quality, and reporting consistency. The system supports analytical and reporting processes used across the organization.

Your role will be to understand the current data model, design and implement migration pipelines, and ensure data integrity after the transition.

You’re ideal for this role if you:

• have hands-on experience with data migration or platform transition projects

• are proficient in Python and SQL for data processing and transformations

• have experience with distributed processing frameworks (e.g., Apache Spark)

• understand relational and document data models (e.g., PostgreSQL, MongoDB)

• worked with cloud environments (AWS or equivalent)

• can analyze legacy systems to understand data origin and semantics

• know how to validate and reconcile datasets after migration

• understand ETL/ELT and data modeling concepts

• communicate effectively in English and cooperate with stakeholders

Nice to have:

• experience in regulated environments (e.g., healthcare, pharma)

• familiarity with data governance, GDPR or HIPAA

• knowledge of Java to understand legacy backend logic

• experience with orchestration or workflow tools

• experience with large-scale datasets and performance tuning

Your day-to-day responsibilities include:

• analyzing the existing data warehouse and mapping data structures

• designing and implementing migration pipelines (Spark/Python)

• transforming and loading data into the target analytics platform

• validating data correctness and ensuring reporting consistency

• troubleshooting migration issues and optimizing performance

• collaborating with developers and analysts to interpret data behavior

• documenting migration logic and data lineage

Our recruitment process

Call with our Recruiter -> Call with our Business Manager -> Meeting with Client If necessary, after call with the Recruiter, we also invite you to an additional technical verification stage.

What We Offer

• Long-term collaboration

• Technical training, certifications, and skills development

• Competence Center mentoring - being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day

• Clear career path

• Employee benefits package (Multisport, private healthcare, life insurance)

• Friendly working atmosphere, team-building events, and team-building meetings