{"id":2112771,"url":"https://alion.io/job/stx-next-senior-data-engineer","title":"Senior Data Engineer","company":{"id":53281,"name":"STX Next","domain":"stxnext.com","url":"https://alion.io/company/stx-next","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","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":["Poznań, Poland","Wrocław, Poland","Gdańsk, Poland","Warsaw, Poland","Łódź, Poland","Kraków, Poland","Katowice, Poland","Szczecin, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":97000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":107},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T22:00:16Z","employer_posted_date":null,"last_verified_at":"2026-09-29T22:00:16Z","board_verified":false,"closed_at":null,"days_open":16,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":16},"description":"At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients' needs and elevating the experience for end users.\nAs a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life.\nZakres obowiązków\nDevelop innovative solutions for complex data challenges, using creativity and technology.\nDesign and build data systems that fulfill client requirements and optimize user experience.\nCollaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving.\nServe as a trusted consultant and architect for customized data solutions for global clients.\nHandle large-scale data processing and manage distributed systems to ensure reliability and performance.\nUphold high standards of data quality and refine approaches to align with best practices.\nFoster a culture of collaboration, craftsmanship, and continuous improvement.\nWymagania\nMinimum 7 years of experience in Data Engineering\nStrong background in designing and implementing scalable data processing systems (pipelines, ETL processes, data warehouses, and data lakes)\nHands-on experience with implementing data warehousing solutions like Snowflake, Databricks or Apache Iceberg\nStrong background and at least 3 years of hands on experience in either AWS or Azure data engineering services\nPractical experience with dbt for data transformation\nStrong SQL skills and experience with relational databases\nFamiliarity with Apache Airflow for workflow orchestration\nProficiency in Python for data engineering tasks\nStrong problem-solving and analytical thinking abilities\nVery good communication skills in English (min. 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