{"id":3393719,"url":"https://alion.io/job/dataart-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":46984,"name":"DataArt","domain":"dataart.com","url":"https://alion.io/company/dataart-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Wrocław, Poland","Warsaw, Poland","Lublin, Poland","Kraków, Poland","Łódź, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":17000,"max":21000,"currency":"PLN","period":"month","gross":null,"usd_annual":63840},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache HTTP Server","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Feature Store","optional":true},{"name":"Flink","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"Python","optional":true}],"status":"closed","first_seen_at":"2026-10-28T09:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-30T05:42:30Z","board_verified":false,"closed_at":"2026-10-30T05:42:30Z","days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Position overview\n\nWe are looking for a Senior Data Engineer with hands-on experience in Databricks, Snowflake, and either AWS or Azure to join our team. In this role, you will own the full lifecycle of our data warehouse, from ETL and ELT pipeline design and dimensional modeling to performance tuning and infrastructure optimization. You will work with modern data platforms to transform raw data into reliable, scalable, and actionable insights that support business decision making.\n\nResponsibilities\nDevelop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table design\n\nDrive the full life-cycle of back-end development for the data warehouse\n\nIdentify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes\n\nDefine data retention policies\n\nBuild analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.)\n\nSelect and integrate tools for monitoring, managing, alerting on, and improving database performance\n\nDevelop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities\n\nAssemble large, complex datasets that meet functional and non-functional business requirements\n\nRequirements\n5+ years of experience or 5+ completed projects\n\nAdvanced SQL and query optimization, with proficiency across popular database variations\n\nPython for data engineering and automation\n\nCloud data platforms: Snowflake and/or Databricks\n\nCloud services: AWS and/or Azure\n\nData transformation and modeling with DBT\n\nETL/ELT pipeline design, development, and maintenance\n\nApache Spark (PySpark preferred)\n\nWorkflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestrator\n\nRelational database design and performance tuning (PostgreSQL, MySQL, SQL Server, Oracle, etc.)\n\nData warehousing concepts and dimensional modeling\n\nData management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems\n\nVersion control using Git and CI/CD practices\n\nData governance, data quality, lineage, and observability practices\n\nSecurity and access control implementation in cloud data platforms\n\nNice to have\nApache Kafka, Apache Flink, Apache Beam\n\nTerraform, Kubernetes, Docker\n\nApache Iceberg, Delta Lake, or Apache Hudi\n\nReal-time and event-driven architectures\n\nAWS Glue, Amazon MWAA, Azure Data Factory\n\nData Mesh and Data Product concepts\n\nMachine learning data pipelines, feature stores, or AI development experience\n\nStreaming analytics and Change Data Capture (CDC) solutions (e.g., Debezium)\n\nWhat We Offer:\nVacation days: Up to 26 business days per year.\n\n10 illness/special days off per year (fully paid, no medical papers needed) for all contract types\n\nHealth and life insurance (Luxmed)\n\nMyBenefit platform with Multisport option\n\nInternal psychological support service\n\nEnglish language classes from the first working day\n\nAccess to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training\n\nFlexible workplace: work from the office, from home, or choose a hybrid option\n\nTech Skills Mentoring Program\n\nOpportunities to develop as a public speaker, mentor, or technical interviewer\n\nCertification reimbursement (AWS, GCP, Microsoft, etc.)\n\nTech stack\nSQL\nPython\nSnowflake and/or Databricks\nAWS and/or Azure\nDBT\nApache Spark\nWorkflow orchestration\ndata management fundamentals","description_format":"text","description_chars":3672,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Certification reimbursement","Flexible schedule","Life insurance"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software 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