{"id":1526359,"url":"https://alion.io/job/dcv-technologies-senior-data-engineer-krakow","title":"Senior Data Engineer | Krakow","company":{"id":890,"name":"DCV Technologies","domain":"dcvtechnologies.co.uk","url":"https://alion.io/company/dcv-technologies","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":101000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":76},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"FastAPI","optional":false},{"name":"Informatica","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"GitLab","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-30T13:39:04Z","employer_posted_date":null,"last_verified_at":"2026-09-30T13:39:04Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Work mode: Hybrid from Krakow 3 days/week\nRole Summary\nWe are looking for an experienced Senior Data Engineer with 7+ years of experience in data engineering and Python development. The ideal candidate will have strong hands-on expertise in Databricks, PySpark, SQL, Delta Lake, FastAPI, Structured Streaming, and Unity Catalog migration.\nExperience in the BFSI domain and exposure to Azure, CI/CD, and technical leadership will be an added advantage.\nKey Skills - Must Have\nStrong experience in Data Engineering and Python development.\n\nHands-on expertise in FastAPI, including API development, integration, enhancement, and maintenance.\n\nExtensive experience with Databricks, PySpark, SQL, and Delta Lake.\n\nProven experience with Unity Catalog migration and Databricks data governance.\n\nStrong hands-on experience with Databricks Structured Streaming and real-time data processing.\n\nExperience working with Oracle, SQL Server, and Informatica.\n\nAbility to independently design, develop, and implement scalable and high-performance data engineering solutions.\n\nGood understanding of the Banking, Financial Services, and Insurance (BFSI) domain.\n\nAdditional / Preferred Skills\nExperience with Microsoft Azure Cloud and Databricks administration.\n\nHands-on experience with CI/CD, Git, Azure DevOps, and/or GitLab.\n\nStrong understanding of Apache Spark performance tuning and optimization.\n\nExperience providing technical leadership, mentoring engineers, and managing stakeholder communication.\n\nDatabricks certifications would be an added advantage.\n\nKey Responsibilities\nDesign, develop, enhance, and maintain FastAPI-based services, APIs, and integrations.\n\nBuild and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, SQL, and Delta Lake.\n\nLead and contribute to Unity Catalog migration and broader data modernization initiatives.\n\nDesign and implement real-time data processing and streaming solutions using Databricks Structured Streaming.\n\nPerform Spark and Databricks performance tuning to improve scalability, reliability, and processing efficiency.\n\nIntegrate and work with enterprise data sources including Oracle, SQL Server, and Informatica.\n\nEnsure solutions follow enterprise standards for data quality, security, governance, scalability, and reliability.\n\nCollaborate closely with business stakeholders, data architects, engineering teams, and vendors to deliver enterprise-grade data solutions.\n\nProvide technical guidance, contribute to solution architecture, and support the delivery of complex data engineering initiatives.\n\nTroubleshoot production issues and drive continuous improvement of data platforms and services.\nSounds like you? Looking forward to hearing from you! :)","description_format":"text","description_chars":2712,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-30T14:16:50Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":1,"expected_fill_days":41,"reasons":["seen:1","agency","velocity","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dcv-technologies-senior-data-engineer-krakow","json_url":"https://alion.io/job/dcv-technologies-senior-data-engineer-krakow.json","meta":{"generated_at":"2026-10-03T01:58:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2029,"day_limit":5000,"remaining_today":2971,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}