About Sigmoidal

Sigmoidal is an AI consulting & development company transforming how large enterprises work. The mission is simple: put exceptional engineers in front of the hardest AI problems in private equity, healthcare and finance.

We started in 2016, long before the OpenAI era, building custom models when enterprise AI deployments were just beginning. Since then, we have redesigned processes at companies including Novartis, Baillie Gifford and Infineon.

Today we build AI systems that run every day inside leading US private equity firms and fintechs, supporting the management of more than $200 billion in assets.

What a Senior Data Engineer owns, end-to-end

Before people who manage billions of dollars open a report, someone has decided how its data is modelled, where each figure came from and who may see it. At Sigmoidal, that someone is a Data Engineer.

Our partners make investment decisions on this data, so the pipelines aren’t plumbing. Each partner gets a small, senior-only team, and one Data Engineer shapes how the data platform is built and answers for it.

You own the data platform investment teams use for reports and decisions:

  • Data modelling happens first, before any tool.

  • Production-ready ETL/ELT pipelines on Snowflake, dbt and Airflow, in Python and SQL, for data from fund administrators, portfolio companies, CRMs and data rooms.

  • Data quality, consistency, performance and cost, down to the Snowflake bill.

  • Data governance: lineage, metadata and quality checks, with tools like Atlan or Monte Carlo.

  • Access control for confidential deal data. Who may see which deal is part of the data model.

  • Data that business, analytics and engineering teams can use without asking you first.

Ten years forward deployed

Sigmoidal has always worked in the Forward Deployed Engineer model known from Palantir. In 2026, OpenAI and Anthropic also launched their FDE teams. For a Data Engineer this means:

  • The same engineer talks to our partners, writes the code and owns the data platform in production.

  • A seat at the table with the investment teams who use your data.

  • No proofs of concept. Data work counts only when people use it every day and it delivers measurable value: hours saved, better decisions, lower risk.

  • Colleagues from McKinsey, Google, Kraken and JPMorgan. Most of our engineers have 7+ years of experience.

You might be a fit if:

  • You are a Senior Data Engineer, usually 5+ years, who has built cloud data pipelines and run dbt in production with tests and CI.

  • Your data modelling holds up when another senior engineer asks why.

  • You judge your work by the business result.

  • You are fluent in English for daily calls with the US, and working Polish inside the team.

  • Bonus points for experience in financial or investment data engineering, or a background in finance or consulting.

Recruitment steps

  1. Call with our recruiter.

  2. Technical interview with a senior engineer from our team. No live coding, but expect hard questions.

  3. Tech & business call with the team.

We respect your time: you will hear back within 5 working days.

Sigmoidal is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, disability or other legally protected statuses.