Senior Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. Headquartered in Boston, with 4,000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years.

• 3x AWS AI/ML award wins.

• 3x NVIDIA Partner of the Year titles.

• 2x Snowflake Partner of the Year awards.

• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role:                                 Senior Data Engineer - Databricks

Experience Level:           5+ Years

Work location:                Netherlands,NL or Paris, FR

What you’ll do:  

You will be working as a Senior Data Engineer within the Healthcare & Lifesciences domain, helping business and R&D teams leverage technology, AI, and advanced analytics to boost performance and foster innovation.

This mission supports strategic priorities through the delivery of R&D Data projects at scale, on a unified, compliant, and modern data platform centered on Databricks.

Role & Responsibilities:

• Design and implement data ingestion pipelines connecting diverse sources (CDD Vault, APIs, databases, cloud data lakes).

• Integrate, clean, and harmonize data to align with internal data models and standards.

• Build scalable pipelines for NGS data processing in Databricks, implementing variant calling workflows with GATK and related bioinformatics tools.

• Optimize compute and storage strategies (SQL/NoSQL, cloud storage) for performance and cost efficiency.

• Expose curated datasets via APIs, datamarts, and SQL endpoints for downstream analytics, dashboards, and scientific applications.

• Ensure high standards of data quality, traceability, reproducibility, and compliance with industry regulations.

• Collaborate closely with R&D scientists, bioinformaticians, and data teams to document workflows and enable transparent, reproducible pipelines.

Skills expectation:

• Must have:

  • Master’s degree or PhD in Computer Science, Bioinformatics, Data Engineering, or related field.

  • 5+ years’ experience in Data Engineering (R&D or healthcare/pharma sector highly valued).

  • Proven expertise in building production-grade pipelines in Databricks.

  • Strong programming skills in Python and SQL, with hands-on experience in CI/CD and DevOps practices.

  • Proficiency with AWS and Azure cloud services.

  • Team player with an Agile mindset and clear, transparent communication.

  • Ability to thrive in dynamic, changing environments.

   Leadership qualities

• Ability to lead technology teams and provide them mentorship / support to accelerate performance. 

• Experience in leading multiple large projects as well as a deep understanding of Agile developments

• Effective communication with all the stakeholders involved.

• Communicate clearly about complex subjects and technical plans with technical and non technical audiences.

• Good to have: 

  • Experience with bioinformatics workflows (GATK, Nextflow, Snakemake).

  • Prior exposure to CDD Vault and chemical/biological data integration.

  • Knowledge of FAIR data principles.

  • Previous experience in healthcare, pharmaceutical, or biotech projects.

  • Proficiency in both French and English.

Behavioural  skills:

• Strong collaboration and communication skills across scientific, technical, and business teams.

• Ability to document workflows and technical processes for both technical and non-technical audiences.

• Open-mindedness and adaptability to work in a fast-changing environment.

• Commitment to mentoring, knowledge sharing, and driving best practices within the team.

What is in it for you:

• Opportunity to work on cutting-edge R&D initiatives supporting precision medicine and biomarker discovery.

• Exposure to bioinformatics and healthcare data engineering at scale.

• Hands-on experience combining advanced data engineering with life sciences research.

• Collaborative environment working with scientists, analysts, and global data experts.

• Potential for contract renewal and long-term engagement on impactful projects.