{"id":3474550,"url":"https://alion.io/job/idego-group-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3932517,"name":"Idego Group","domain":"idego-group.com","url":"https://alion.io/company/idego-group","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gdynia, Poland","Warsaw, Poland","Poznań, Poland","Kraków, Poland","Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150,"max":180,"currency":"PLN","period":"hour","gross":null,"usd_annual":92000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"dbt","optional":true},{"name":"Fivetran","optional":true}],"status":"live","first_seen_at":"2026-10-29T08:08:09Z","employer_posted_date":null,"last_verified_at":"2026-10-29T08:08:09Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About company:At Idego, you'll join a ~100-person team of experienced problem solvers building real products across Cloud, Data & AI, and Software Development.The environment is genuinely AI-oriented - modern tech applied to real business problems, not chasing shiny trends. If you naturally connect the dots across tools, systems, and ideas, and you're someone who stays curious and takes ownership, this is the kind of place where that's noticed and valued.\nOn the culture side, things stay simple. Autonomy, common sense, zero micromanagement. No unnecessary corporate layers, no \"let's look busy\" theatre - just smart people working together and building things well.\nThe remote-friendly setup has been in place for years, so flexibility, trust, and healthy collaboration aren't perks - they're simply how Idego operates.\nModern tech, AI-driven thinking, meaningful projects - and a work culture built around trust, growth, and getting things done properly.\nAbout project:We're looking for a Senior Data Engineer to join our client's data team! Our client is a software provider for the automotive industry, helping car dealerships digitise the customer experience – from sales to aftersales.\n\nOur perks:Fruit Fridays? Well... we have to admit that we don't organize such events. Seriously. No bananas, apples, tangerines... Instead, we've opted for something more practical: a snack cabinet full of drinks, healthy (and not so healthy) treats...\nFrom time to time, we prefer to send you a LEGO set or a cozy blanket - just in case you're allergic to citrus fruits.\nWork environment with zero micromanagement - we cherish autonomy\nRemote work, recruitment & onboarding ->People from the Tri-City are welcome to join us for lunch :)\nExperienced team from 4 to 15+ years in commercial projects\nUnique memes & pets channel\nPrivate medical insurance and Medicover Sport\n\nWe want you to join our team. We are neither the agency giving you projects from time to time, nor a huge corporation where you are a \"dev XYZ\". At Idego - you matter!\nZakres obowiązków\nUse AI tools on a daily basis to speed up and automate your work – from writing and reviewing code to testing and documentation.\nConnect a range of client databases (MySQL, SQL Server, PostgreSQL, MongoDB, Redshift and more) and load their data into Snowflake using Estuary and Snowflake’s own tools.\nBuild data transformations in Snowflake in line with the architecture defined by the Data Architect.\nCreate reliable, fault-tolerant pipelines that handle deletes, reloads and historical data corrections.\nEnsure data quality through automated testing, source-to-target reconciliation, monitoring and alerting.\nWork in a fully automated GitLab CI/CD setup – version control, merge request reviews, automated testing and deployments.\nWymagania\nYour profile:Must have:\nCommercial experience as a Senior Data Engineer, building and maintaining data pipelines in production. 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