Senior Data Engineer

Job Description We're looking for a hands-on Data Engineer who genuinely enjoys the craft — someone who writes SQL and Python every day, takes pride in pipelines that just work, and wants their code to matter. The transformations you build here won't sit in a sandbox. They'll feed the analytics, reporting, and decisions that help protect our company. This isn't a role for learning the fundamentals on the job. It's a role for someone who already has them and wants the space to do their best work. What you'll do -------------- **Data transformation and engineering** * Design, write, and maintain high-quality SQL and Python for data transformations across development and production environments. * Implement DDL and advanced data operations: enrichment, cleansing, parsing, normalization, and schema evolution. * Own existing transformations and continuously improve them as data volume, variety, and complexity grow. * Write code that is readable, testable, and maintainable, so other engineers can understand, extend, and support it. **Platform and pipeline execution** * Work hands-on with cloud data services such as AWS (Glue, Lambda, Redshift), GCP (BigQuery, Dataflow, Cloud Functions), or equivalent platforms such as Azure Data Factory. * Build and operate reliable, automated pipelines deployed through our Terraform-based CI/CD setup. * Partner with platform, DevOps, and analytics teams to ensure smooth deployment, monitoring, and day-to-day operation of data workloads. * Databricks experience is a plus, not a requirement. **Engineering quality and collaboration** * Apply core engineering disciplines: version control (Git), code review, and structured change management. * Communicate clearly about data logic, assumptions, and trade-offs with both technical and non-technical stakeholders. * Contribute to shared standards and best practices for SQL, Python, and ETL development. * Operate with the data quality, reliability, and compliance discipline expected in a regulated enterprise environment. ### What you bring **Primary skills:** Data engineering, AWS, GCP/BigQuery, IaC, data lakes, GitHub, pipeline management **Secondary skills:** DevOps collaboration, general scripting **Required** * Bachelor's degree in Computer science, Information Technology, or equivalent experience. * 5+ years building data pipelines and data infrastructure, ideally in the context of GRC. * Strong, practical SQL and Python skills, specifically for data transformation and ETL. * A track record of building and maintaining production pipelines — not just prototypes or coursework. * Solid grasp of relational data modelling, normalization, and performance-aware SQL design (including warehouse-style SQL such as BigQuery or Redshift). * Hands-on experience with at least one cloud data platform (AWS, GCP, or Azure). * Comfort with Git-based workflows and automated deployment pipelines. * Clear thinking about data problems, expressed in clean, maintainable code. **Nice to have** * Experience across multiple cloud data platforms (e.g., AWS _and_ GCP/BigQuery). * Experience in regulated or enterprise environments (healthcare, life sciences, finance). * Exposure to Databricks, Spark, or large-scale analytical workloads. * Working familiarity with infrastructure-as-code (e.g., Terraform) as a consumer. * Experience supporting analytics, reporting, or data science teams as downstream consumers. **What we offer** * Exciting work in a great team, global projects, international environment * Opportunity to learn and grow professionally within the company globally * Hybrid working model, flexible role pattern * Competitive salary & incentive pay * Pension and health insurance contributions * Internal reward system and referral scheme * **5**  weeks annual leave, **5** sick days, **15** days of certified sick leave paid above statutory requirements annually, **40**  paid hours annually for volunteering activities, **12** weeks of parental contribution * Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card * Vodafone, Raiffeisen Bank, Foodora, and discount programmes * Up-to-date laptop and iPhone * Parking in the garage, showers, refreshments, massage chairs, library, music corner  _Ready to take up the challenge? Apply now!_ _Know anybody who might be interested? Refer this job!_  **Required Skills:** Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs **Preferred Skills:** Current Employees apply [HERE](https://wd5.myworkday.com/msd/d/task/1422$6687.htmld) Current Contingent Workers apply [HERE](https://wd5.myworkday.com/msd/d/task/1422$4020.htmld) **Search Firm Representatives Please Read Carefully**  Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.  **Employee Status:** Regular **Relocation:** No relocation **VISA Sponsorship:** No **Travel Requirements:** 10% **Flexible Work Arrangements:** Hybrid **Shift:** 1st - Day **Valid Driving License:** No **Hazardous Material(s):** n/a **Job Posting End Date:** 07/25/2026 **\*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.**