Scientific Data Engineer - EMEA

Tetra Science is a Scientific Data and AI company with a mission to radically improve and extend human life. Tetra Science combines the world’s only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. Tetra Science is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next‑generation lab data management products, scientific use cases, and AI‑based outcomes.

Our core values guide our behaviors, actions, and decisions so that we operate as one. We are looking to add high‑performance team members that authentically and unconditionally embrace our values:

• Transparency and Context – We trust our people will make the right decisions and overcome any challenges when given data and context.
• Trust and Collaboration – We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
• Fearlessness and Resilience – We proactively run toward challenges of all types, embrace uncertainty, and take calculated risks.
• Alignment with Customers – We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
• Commitment to Craft – We are passionate missionaries. We sweat the details, as the small things enable the big things.
• Equality of Opportunity – We seek out the best of the best regardless of gender, ethnicity, race, or age; we seek those who embody our common values but bring unique perspectives, talents, and advantages.

You will be a senior member of the Scientific Data Engineer team, helping build Tetra Data and productizable solutions, which form the foundation of the Data Engineering layer. As a player‑coach data engineer, you will be experienced, hands‑on, and provide mentorship to junior team members. You should be comfortable leading internal design sessions and architecting solutions, working directly with Product Managers and Solution Architects to gather business and data design objectives, resulting in production‑based solutions.

As a senior scientific data engineer, you will be a team‑focused leader with excellent data engineering skills, supervising and collaborating on project executions, and delivering mission‑critical implementations with a high commitment to customer success.

• Work with Product Managers and Solution Architects to understand business requirements, gather insights, recommend outcomes, and build a consensus‑based solution.
• Take ownership of building data models, prototypes, and integration solutions that drive customer success.
• Research and prototype data integration strategy for scientific lab instrumentation; prototype file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries).
• Act as a quality gatekeeper: design with quality backed by unit tests, integration tests, and utility functions.
• Lead team‑wide process/technology improvements on product quality and developer experience.
• Rally the team to finish Agile Sprint commitments, actively surfacing team inefficiencies and striving to resolve them.
• Be driven by results, with the pragmatic urgency to resolve blockers, unclear requirements, and make things happen.
• Provide mentorship to junior SDEs and show leadership in every front.

• 8+ years of building solutions as a Data Engineer or similar fields.
• 8+ years working in Python and SQL with a focus on data.
• 6+ years of experience leading projects, managing requirements, and handling timelines.
• 4+ years of experience managing multiple customer‑focused implementation projects across cross‑functional teams, building sustainable processes, and managing delivery milestones.
• Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
• Quickly understand a highly technical product and effectively communicate with product management and engineering.

• 100% employer paid benefits for all eligible employees and immediate family members.
• 401(k).
• Unlimited paid time off (PTO).
• Flexible working arrangements.
• Company paid Life Insurance, LTD/STD.

• Mid‑Senior level

• Full‑time

• IT Services and IT Consulting