Data engineer senior
Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Sep 3, 2026.
We're ooak data
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.
Our values
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.
The job offer
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)
- 6 FTEs: 3 ML engineer and 3 ops + 5 freelances
Your missions
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.
Who we're looking for
5-10 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).
The extras that make the difference
- 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.
Why join us
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)
Unlimited GPT & Claude tokens
- 50% Navigo covered
Recruitment process
We can move very fast.
- A 30 min intro call with Grégoire (COO & co-founder)
- A 30 min call with Thomas (CTO & co-founder)
- A technical case study:
- Async preparation
- Debrief interview with Thomas
- A final fit interview with the founding team