3h ago
AqemiaPosted today
L3
Senior Data Engineer
Senior Data Engineer at Aqemia scores 65 out of 100 on AI centrality, which makes it a Level 3 role on this board.
Parissenior
AI in this role
Senior Data Engineer to build and scale scientific data platforms powering ML models, chemical analytics, and AI agents.
pythonkubernetesawsgcp
ai-agentsdata-engineeringetldata-modelingpipeline-development
As our Senior Data Engineer, you'll own AQEMIA's data platform end to end — from ingestion through the pipeline to the trusted, model-ready datasets that power science, ML and analytics. What makes this role distinctive is the data itself: chemical structures, molecular conformations, physics- and ML-based predictions, and experimental results from CROs and partners.
A core part of the work is modelling these scientific entities well — establishing canonical identity, provenance and trustworthy lineage across heterogeneous, often messy sources — so scientists, and increasingly AI agents, can rely on them. You'll work at the intersection of software engineering, data infrastructure and scientific research, with real scope to shape architecture rather than just execute against it.
As AQEMIA moves toward more service and API-driven integration next year, you'll help make data fit for automation — expanding your impact from pipelines to the systems that consume them.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
AI AgentsData EngineeringEtlData ModelingPipeline DevelopmentPythonKubernetesAws
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where pipeline development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, Data Engineering, Etl, Data Modeling, and Pipeline Development. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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