Ooak Data
Data engineer Senior
today
55000 –80000 USD / yearWorldwideSeniorRemotedata engineeringetlsqlpythonawsdata pipelines
Build and manage large-scale business workflow data ecosystems to support AI automation and research.
Responsibilities
- 📍 Paris (city center), on-site with 1 to 2 days WFH
- 🕐 Start: as soon as you are available
- 💼 Contract: full-time (CDI), open to freelancing for the summer
- 👥 Team:
- 3 co-founders (Pierre-Louis, CEO; Grégoire, CPO & COO; Thomas, CTO)
- 3 FTEs: 1 ML engineer and 2 ops.
- As a Data Engineer and a founding member of the tech team , you'll play a central role in how we design, structure, and scale the data foundations behind our products. You'll report directly to Thomas (CTO & co-founder).
- Design, build, and scale our data ingestion, transformation, and structuring pipelines at scale.
- Contribute across every stage of our data platform: the anonymization pipeline (combining algorithmic approaches with human verification) to build digital twins of companies.
- the multi-modal data enrichment & curation pipeline.
- the datasets feeding our reinforcement learning (RL) environments .
- Ensure data quality, lineage, versioning, and observability across the whole stack.
- Define our technical standards and take an active part in the structuring architecture decisions (tech choices, design patterns, scalability, DataOps).
- Work closely with the product, ML, and business teams to scope and ship new data projects.
- Mentor and grow the future members of the tech team, building a strong data engineering culture at Ooak Data.
Conditions
- Entrepreneurial adventure , play a key role and live the early days of an ambitious company, right at the front line of the AI revolution.
- Backed by Y Combinator , join just as we accelerate.
- Founding impact , shape the company and its culture from day one.
- Offices in central Paris + 1 to 2 days WFH.
- Perks: Alan health insurance (mutuelle)
- 50% Navigo covered
Other
- The promise of AI agents is still unmet in complex, real-world business environments. Our mission is to make it possible for agents to reliably accomplish concrete and useful tasks.
- That's why we're building Alexandria, the world's largest library of real-world business workflow datasets.
- Over the next 6 months, we'll acquire and anonymize 300+ full data ecosystems from real-world companies. This will allow us to
- become the leader of real business workflow data
- be in the best position to launch our own data research lab in early 2027 , enabling new services that help companies around the world automate their workflows with AI
- This summer we need to build our elite squad to move extremely fast and confirm our leading position on company data.
- Trust , the foundation of every relationship, internal and external. We extend it by default and value the ownership that comes with it.
- Ambition , we commit, we move fast, with tenacity and efficiency.
- Collective , team first, low ego.
- Kindness , at the heart of every interaction.
- We're building a solid, aligned, and motivated team.
- 4+ years of experience in data engineering or data-intensive software development.
- Strong coding experience in Python and SQL , with a plus for Rust or TypeScript .
- Expertise building ETL/ELT pipelines and orchestration (Airflow, Dagster, dbt, or equivalent).
- Experience with data warehouses and lakes (BigQuery, Snowflake, or equivalent) and streaming tools (Pub/Sub, Kafka).
- DataOps know-how: versioning, monitoring, data quality and testing.
- Proven track record delivering projects in an agile, collaborative environment .
- Genuine desire to mentor and grow more junior profiles over time.
- Demonstrated ability to thrive in a demanding, fast-growing environment.
- Excellent analytical skills, attention to detail, and strong prioritization.
- Fluent English , mandatory (working language with our clients and the labs).
- Experience with GCP (or equivalent), Modal or GPU cluster and serverless technologies.
- Experience with infrastructure as code (Terraform, CloudFormation).
- Strong interest in data anonymization, multi-modality, and RL environments .