{"id":791572,"url":"https://alion.io/job/vecten-senior-data-engineer-azure-snowflake-devops","title":"Senior Data Engineer (Azure / Snowflake / DevOps)","company":{"id":687500,"name":"Vecten","domain":"vecten.com","url":"https://alion.io/company/vecten","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":97000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"Dagster","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Jira","optional":false},{"name":"Prefect","optional":false},{"name":"Pure Data","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-08-25","last_verified_at":"2026-10-31T19:43:13Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Full-time B2B | Remote EU / Poland | US Sports Insurance Context\nWe 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.\nOur 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.\nWe'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.\nThe Opportunity\nOur 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.\nYou'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.\nWhat you'll be doing\nThe 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.\nYour Responsibilities:\nDesign, build, and operate data pipelines in Airflow (or similar) across Azure and Snowflake, replacing a legacy ETL platform\nProductionize ML and scoring workflows (injury-risk and pricing models) from Jupyter notebooks into reliable, scheduled pipelines with seasonal retraining runs\nIngest and manage third-party data feeds (sports data providers such as Sportradar) and internal application databases\nBuild and maintain reporting outputs for insurance carriers and partners (bordereau reporting)\nOwn DevOps for the data platform: Azure infrastructure, IaC, CI/CD, monitoring, secrets, and access management\nSupport the AWS-to-Azure migration and infrastructure cost optimization\nCollaborate directly with client stakeholders and external vendor teams across multiple parallel workstreams, largely async (Jira, Slack)\nRequirements\nRequired Skills & Experience:\nSenior-level data engineering: strong Python and SQL, solid data modeling, and production experience with a modern orchestrator (Prefect, Airflow, or Dagster)\nSolid hands-on Azure experience - data services, storage, compute, networking, and identity - and confidence running production workloads on it\nExperience with Snowflake (or another cloud data warehouse) in production\nDevOps skills applied to data platforms: Docker, CI/CD, infrastructure-as-code (Terraform or similar), monitoring and alerting\nAI-native way of working: you use tools like Claude and Cursor as a core part of how you deliver, including outside your comfort zone\nFlexibility and ownership: willing to pick up work beyond pure data engineering (a Java service, a frontend tweak, an infra incident) and see it through\nSelf-directed: able to scope ambiguous requests, propose solutions, and deliver without heavy oversight\nFluent English and clear, proactive communication with non-technical stakeholders\nNice to Have:\nCloud migration experience - moving workloads, databases, and pipelines between clouds or platforms\nExperience in insurance, financial services, or other regulated environments\nMLOps exposure - model training infrastructure, feature pipelines, scheduled scoring\nReading-level comfort with Java and JavaScript/React codebases\nExperience taking over and stabilizing systems built by someone else\nBenefits\nUnrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc.\n Total Autonomy (Remote-First): No filler meetings, no Jira bloat, no micromanagement. You own the workflow. We care about shipped systems in production, not logged hours.\nDirect Impact: You'll work face-to-face with our CEO, CTO & VPs and directly with client leadership.\n Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real business decisions. Backed by continuous growth and a strong knowledge-sharing culture (check our YouTube).\nSounds like a perfect place for you? Don't hesitate to click apply and submit your application today!\nThe controller of the data contained in your application is Sunscrapers Sp. z o.o., operating under the Vecten brand, ul. Tadeusza Czackiego 15/17, 00-043 Warsaw, Poland, NIP 1182116268. We process your data in order to assess your application for the role you are applying for. You have the right to access, rectify, erase and restrict the processing of your data, and the right to lodge a complaint with the President of the Polish Data Protection Authority. For data protection matters write to . 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