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Senior Data Quality Engineer (m/f/d)

Boehringer Ingelheim

Canada · flexible Full-time Senior 1mo ago

About the role

About Us

We are TecAlliance — founded by more than 30 automotive aftermarket companies as a neutral Data‑as‑a‑Service market connector, serving as the neutral data terrain that interconnects them. With over 1,000 employees worldwide and customers in 140 countries, we enable the market — we never compete with it.

In this position, you will become part of our Information Management Digitalization Tools Team The team acts as the internal IT service provider for the TecAlliance Information Management Digitalization Tools. They are a diverse, global team of 40+ professionals across Europe and Vietnam. They work in small, agile teams, continuously improving how they deliver value. Their mission: support the IM Data Factory by delivering robust IT solutions, optimizing processes, and reducing manual effort in the critical process of capturing and standardizing vehicle technical data. The global data platform, built on AWS technologies like Glue and DataZone, designed to process hundreds of data flows that are critical to our products and customers.

Now they're looking for Senior Data Quality Engineer (m/f/d) . In this role, you will close the critical gap between Data Engineering and QA by driving an overarching QA strategy and implementing automated test data and quality management practices that enable reliable, scalable, and production-ready data pipelines across all projects. You’ll help shape how we validate data flows end-to-end - and thereby enabling a faster, safer delivery.

Responsibilities

  • Designing and implementing an automated testing framework for complex data processing pipelines.
  • Developing and maintaining a strategy for managing test data across various data flows and environments.
  • Preparing test environments by provisioning test data and setting the system to the correct state for execution.
  • Executing data flows and validate the results against expected outcomes.
  • Collaborating with data engineers to integrate testing into existing pipelines and workflows.
  • Applying tools to automate checks for data quality and consistency.

Qualifications

  • Degree in Computer Science, Software Engineering, or a related field is highly welcomed.
  • Significant recent experience in testing data-driven systems, ideally in roles focused on data quality, data engineering or data platform testing.
  • Solid experience with testing ETL and data processing pipelines, including validation of complex data transformations.
  • Deep understanding of test data management in complex, dynamic environments, including strategies for provisioning, maintaining and automating test data across multiple flows.
  • Familiarity with AWS services such as Glue / Glue Data Quality, S3, Athena and DataZone.
  • Ability to orchestrate multi-step test processes across systems and environments.
  • Hands-on experience with data quality tools (e.G.: AWS Glue Data Quality / Great Expectations).
  • Fluency in English (C1), German, Dutch or Spanish is a plus.

If you feel you can fulfil the demands of this role but do not meet all of the criteria above, we still encourage you to apply. Applications will be reviewed on their merit, please elaborate on why you feel you would be a good candidate for this position in your application. We kindly ask you to send in an English CV only. Thank you.

Benefits

We offer a wide range of benefits. As our positions are advertised in various locations the benefits may vary. Therefore, below you will only find those that apply to all locations—for details, please speak to the recruiter, who will be happy to answer your questions.

Contracts, Salary, and non-monetary benefits

  • Remote work: we work 80-100% remotely; however, we have regular on-site team events.

Skills

AWS GlueAWS Glue Data QualityAWS S3AWS DataZoneAthenaGreat Expectations

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