About this role
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:
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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: 07/11/2026*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.
Requisition ID:R398395