Senior Data Engineer (Azure / Snowflake / DevOps)

Full-time B2B | Remote EU / Poland | US Sports Insurance Context We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $1.2T+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility - we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI - tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Opportunity Our client is a US insurance leader for youth and college sports - they insure athletes, teams, and organizations, including innovative products that price injury and transfer risk for college athletes in the NIL era. Their data estate is at an inflection point: a legacy enterprise ETL platform is being decommissioned this fall, pipelines are moving to a modern orchestration stack, and the whole platform is consolidating onto Azure. You'll join a small senior pod (a tech lead and a senior backend engineer) as the full-time engineering backbone of the account. This is not a ticket-taking role. The client environment is fast-moving and sometimes ambiguous - we're expected to propose, decide, and deliver, not wait for specs. You'll work directly with the client's CTO-level stakeholders and with their partner vendors' engineering teams. What you'll be doing The core of the work is rebuilding and running the client's data platform: replacing legacy ETL with new pipelines, operating a medallion (bronze/silver/gold) architecture across Azure and Snowflake, productionizing ML scoring pipelines that currently live in data scientists' Jupyter notebooks, and owning the infrastructure underneath it all - including an ongoing AWS-to-Azure migration and cloud cost cleanup. Around that core, expect a long tail of adjacent work: reporting pipelines for insurance carriers, third-party sports data feeds, the occasional Java service or frontend fix. We’re looking for someone with core expertise in data engineering but who’s not afraid to touch devops, backend or even some sporadic frontend work. Your Responsibilities: Design, build, and operate data pipelines in Airflow (or similar) across Azure and Snowflake, replacing a legacy ETL platform Productionize ML and scoring workflows (injury-risk and pricing models) from Jupyter notebooks into reliable, scheduled pipelines with seasonal retraining runs Ingest and manage third-party data feeds (sports data providers such as Sportradar) and internal application databases Build and maintain reporting outputs for insurance carriers and partners (bordereau reporting) Own DevOps for the data platform: Azure…