{"id":1311519,"url":"https://alion.io/job/dcv-technologies-data-engineer-wroclaw","title":"Data Engineer | Wroclaw","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":["Wrocław, 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":76},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-09-26T16:00:12Z","employer_posted_date":null,"last_verified_at":"2026-09-26T16:00:12Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are looking for a Data Engineer with strong hands-on experience in Azure Data Factory (ADF) to join a long-term project with a major international Swiss investment bank. Experience with Azure Databricks (ADB) will be considered a significant advantage.\nLocation: Wroclaw&Krakow, hybrid 3-4 days/week\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using PySpark and Python.\n\nBuild and optimize ETL/ELT workflows for processing large volumes of data.\n\nWrite efficient, reusable, and high-performance code with a strong focus on optimization.\n\nProcess and manage structured and unstructured data from multiple sources.\n\nImplement best practices related to data engineering, performance tuning, and code quality.\n\nDevelop, orchestrate, and monitor data workflows using Azure Data Factory (ADF).\n\nCollaborate with Data Scientists, Data Analysts, Solution Architects, and other stakeholders.\n\nEnsure data quality, reliability, and integrity across all data platforms.\n\nTroubleshoot and resolve performance bottlenecks in data processing pipelines.\n\nContribute to data architecture discussions and continuous improvement initiatives.\n\nRequired Skills & Experience\n6-10 years of overall IT experience.\n\n4-5 years of hands-on experience inPySpark and Python development.\n\nStrong understanding of data engineering principles and modern data pipeline architectures.\n\nProven expertise in:\nPySpark (Spark SQL, DataFrames, performance tuning)\n\nPython scripting and application development\n\nAzure Data Factory (ADF) orchestration and pipeline development\n\nStrong knowledge of data optimization techniques, including partitioning, caching, joins, and query optimization.\n\nExperience working with large-scale distributed data processing systems.\n\nStrong analytical and problem-solving skills.\n\nGood understanding of SQL, database concepts, and data modeling.\n\nNice-to-Have Skills\nHands-on experience with Azure Databricks (ADB).\n\nExposure to cloud technologies, preferably Microsoft Azure.\n\nExperience with CI/CD pipelines and DevOps practices for data engineering.\n\nKnowledge of Data Lake and Lakehouse architectures.\n\nFamiliarity with modern data governance and monitoring practices.\n\nBenefits\nStable long-term cooperation with opportunity for extension\n\nOpportunity to work with modern technologies in an international environment\n\nProfessional growth and continuous development opportunities\n\nParticipation in challenging and impactful projects\n\nIf you're interested and meet the qualifications, please send your CV at ","description_format":"text","description_chars":2576,"description_truncated":false,"requirements":{"experience_years_min":6,"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":"2026-09-26T16:39:49Z"}],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":3,"expected_fill_days":42,"reasons":["seen:3","agency","velocity","win:early"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/dcv-technologies-data-engineer-wroclaw","json_url":"https://alion.io/job/dcv-technologies-data-engineer-wroclaw.json","meta":{"generated_at":"2026-10-01T00:59:34Z","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":735,"day_limit":5000,"remaining_today":4265,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}