Senior Data Engineer

At Q-tech, we are partnering with a fast-growing tech startup in the Life Sciences space, focused on supply chain compliance.

Founded in 2019, this company has quickly become a global reference in the pharmaceutical and healthcare industries, supporting over 1,200 clients worldwide.Their digital platform connects manufacturers, suppliers, and a global network of over 250 quality experts and auditors.

With more than 3,000 audits conducted across 85+ countries, they offer the most comprehensive supplier data and analytics suite in the market.

Following a successful Series B funding round in September 2024, the company is now entering a new phase of growth, with a strong focus on the U.S. market.

What are they looking for?They are looking for a Senior Data Engineer to join their growing Product & Tech team.

You'll work closely with other data engineers and cross-functional teams to develop and maintain a robust cloud-based data infrastructure.

Your work will directly support data availability, reliability, and scalability as the company continues to expand globally.

Key ResponsibilitiesDesign, build, and scale cloud-based data solutions critical to the company's long-term strategy.Collaborate with different departments to identify data needs and deliver effective, scalable solutions.Translate business requirements into solid data architectures together with the Data team.Develop and maintain ETL / ELT pipelines from scratch to support a high-performing Data Warehouse.Operate and monitor data workflows using Dagster, ensuring stable and error-free execution.Set up sanity checks and alerts to catch anomalies early in both pipelines and the data warehouse.Continuously enhance data processes and infrastructure.

Must-Have RequirementsStrong SQL skills and experience with cloud-based databases like Redshift and AWS RDS.Solid Python knowledge, including packages for analytics, data transformation, APIs, and ML / AI.Proven experience building and maintaining ETLs / ELTs, ideally using dbt or similar tools.Familiarity with modern data stacks such as Fivetran, Hightouch, DBT, Dagster, and cloud platforms like AWS or GCP.Experience with orchestration tools (ideally Dagster).Proactive, independent, and passionate about solving complex problems with simple and scalable solutions.Ability to take full ownership of projects from ideation to delivery.Strong communication skills and experience working cross-functionally in fast-paced environments.

Nice to HaveExperience with RAG architectures (vector databases, LLMs, data curation workflows).

What's in it for you?Be part of a company redefining supplier qualification in pharma through data.Work in a diverse, collaborative, and open culture with flat hierarchies and strong team spirit.A steep learning curve supported by strong career development and mentoring from day one.25 vacation days, increasing to 27 after 2 years and 30 after 4 years.Flexible working hours and the option to work from abroad up to 3 months per year.Private health insurance.Wellhub membership.Flexible benefits plan.Two company events per year to celebrate team achievements.Professional growth.55-70k