{"id":791598,"url":"https://alion.io/job/vecten-senior-data-engineer-dbt-airflow-snowflake","title":"Senior Data Engineer (DBT, Airflow, Snowflake)","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":"2026-11-04T06:34:25Z"}},"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":63000,"max_usd":95000,"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":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-22T00:00:00Z","employer_posted_date":"2026-06-22","last_verified_at":"2026-11-04T19:48:13Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":135},"description":"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.\nOur clients manage a cumulative $210B+ 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 Project:\nAs a Senior Data Engineer, you'll join a project for a US-based private investment firm - designing and implementing a data system that drives real investment decisions. You'll integrate data from multiple sources, build a robust data warehouse, and create the pipelines that power machine learning and data-driven decision-making.\nThe ideal candidate will be well organized, eager to constantly improve and learn, driven and, most of all - a team player!\nYour responsibilities will include:\nModeling datasets and schemes for consistency and easy access,\nDesign and implement data transformations and data marts,\nIntegrating third-party systems and external data sources into data warehouse,\nBuilding data flows for fetching, aggregation and data modeling using batch pipelines.\nRequirements\nWhat's important for us?\nAt least 5 years of professional experience as a data engineer,\nUndergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar,\nExcellent command in spoken and written English, at least C1,\nStrong professional experience with Python and SQL,\nHands on experience on DBT and Snowflake,\nExperience in building data pipelines with Airflow (DAGs),\nExpertise in AWS stack (S3),\nStrong understanding of various data modeling techniques like Kimball Star Schema,\nGreat analytical skills and attention to detail - asking questions and proactively searching for answers,\nCreative problem-solving skills,\nGreat customer service and troubleshooting skills.\nYou will score extra points for:\nExperience with infrastructure-as-code tools, like Terraform,\nGood understanding of Docker,\nDevOps skills to automate deployment and streamline development,\nBenefits\nWhat do we offer?\nWorking alongside a talented team that’s changing the image of Poland abroad.\nFlexible working hours and remote work possibility.\nComfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs).\nFully equipped kitchen with fruit, hot and cold drinks.\nCulture of good feedback: evaluation meetings, mentoring.\nWe value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!\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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