{"id":2459831,"url":"https://alion.io/job/mindbox-spark-data-lakehouse-developer","title":"Spark / Data Lakehouse Developer","company":{"id":53456,"name":"Mindbox","domain":"mindboxgroup.com","url":"https://alion.io/company/mindbox","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"A","score":88,"open_postings":72,"ghost_share":0,"stale_share":0.472,"repost_share":0.028,"time_to_fill_p50_days":53,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":99000,"period":"year","method":"role_country_seniority_unknown","sample_n":361},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Apache Kafka","optional":true},{"name":"dbt","optional":true},{"name":"Great Expectations","optional":true}],"status":"live","first_seen_at":"2026-10-13T13:06:08Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T12:41:18Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"At Mindboxwe connect top IT talents with technology projects for leading enterprises across Europe.\nWe are looking for an experienced Spark / Data Lakehouse Developer to join our Data Platform team. In this role, you will design, develop, and implement data reconciliation solutions within the Operational Data Store (ODS) layer, based on MongoDB, ensuring data consistency and synchronization with multiple source systems.\nAdditionally, you will be responsible for building and maintaining data layers in a modern Data Lakehouse architecture (Delta Lake / Apache Iceberg / Hudi) - from raw data storage up to curated and presentation zones (silver, gold).\nSounds like your kind of challenge?\nResponsibilities\nFlexible cooperation model \nHybrid work setup - remote days available depending on the client’s arrangements - Warszawa lub Wrocław\nCollaborative team culture - work alongside experienced professionals eager to share knowledge \nContinuous development - access to training platforms and growth opportunities \nComprehensive benefits - including Interpolska Health Care, Multisport card, Warta Insurance, and more \nHigh quality equipment - laptop and essential software provided \nRequirements\nDesign and implement data reconciliation mechanisms within the Operational Data Store (ODS) layer.\nDevelop integration and synchronization logic between ODS and source systems based on MongoDB.\nBuild, optimize and maintain data pipelines with Spark and distributed processing frameworks.\nDesign and develop data layers in Lakehouse architecture (from Raw through Curated to Gold zones).\nImplement and maintain solutions using Delta Lake, Apache Iceberg or Apache Hudi.\nEnsure data quality, reliability, and monitoring across pipelines and storage layers.\nCollaborate closely with data engineers, analysts, and architects to deliver end-to-end data solutions.\nParticipate in continuous improvement of the data platform architecture and engineering standards.\nNote:Detailed project information will be shared during the recruitment process.\nBenefits\nProven experience as a Data Engineer / Spark Developer in big data or cloud ecosystems.\nStrong knowledge of Apache Spark, especially in data processing and ETL pipeline development.\nHands-on experience with MongoDB and ODS-type data store architectures.\nPractical experience in Data Lakehouse technologies such as Delta Lake, Apache Iceberg or Hudi.\nProficiency in Python and/or Scala, including data manipulation and pipeline scripting.\nSolid understanding of data modeling, data reconciliation, and data governance concepts.\nExperience working with distributed data environments and cloud platforms (Azure, AWS, or GCP).\nFamiliarity with CI/CD processes and version control (Git).\nNice to Have\nExperience with streaming frameworks (e.g. Kafka, Structured Streaming).\nKnowledge of data quality frameworks and testing solutions (Great Expectations, dbt tests).\nUnderstanding of metadata management and Data Catalog tools.\nFamiliarity with data security, access control, and audit mechanisms.\nJoining this project you’llbecome part of Mindbox - a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. 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