{"id":3342453,"url":"https://alion.io/job/shimi-senior-data-engineer-mfn","title":"Senior Data Engineer (m/f/n)","company":{"id":1623,"name":"SHIMI","domain":"shimi.pl","url":"https://alion.io/company/shimi","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitify","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":null,"max":145,"currency":"PLN","period":"hour","gross":false,"usd_annual":74000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T14:07:14Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-04T01:04:56Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"For our Partner we are looking for an experienced Senior Data Engineer.\nThe client operates in the travel and cruise industry, offering river, sea, and ocean voyages as well as expedition journeys. The company operates on a global scale, managing an extensive fleet and large volumes of data supporting operational, financial, reporting, and analytical processes.\nOffer:\nStart: ASAP \nEngagement length: Long-term\n100% Remote\nRate up to 145 pln/h net+VAT\nImportant information:\nMinimum 5 years of commercial Databricks.\nRequired English level: minimum B2+.\nStrong analytical and problem-solving skills.\nAbility to work independently with a high level of ownership and accountability.\nProactive approach to identifying risks, blockers, and improvement opportunities.\nStrong communication and stakeholder management skills across technical and business teams.\nExperience working in dynamic environments with frequently changing priorities.\nAbility to make pragmatic decisions and deliver results despite incomplete requirements.\nExperience working within cross-functional teams.\nUnderstanding of data governance, security, compliance, and operational excellence.\nComfortable working in an environment with a relatively low level of formal processes.\nAdaptable, resilient, and well-organized.\nAbility to independently drive initiatives and propose practical solutions.\nThrives in a “controlled chaos” environment where flexibility, initiative, and self-organization are essential.\nTechnical requirements:\nApache Spark\nPython\nSQL\nAzure Cloud\nAzure Databricks\nAzure Data Factory\nAzure Data Lake\nAzure Synapse Analytics\nAzure Data Explorer\nDatabricks\nCI/CD\nAzure DevOps\nPower BI\nExperience in building and maintaining ETL/ELT processes\nExperience with Delta Live Tables (DLT)\nExperience with Unity Catalog\nUnderstanding of Lakehouse architecture\nExperience with infrastructure automation, monitoring, and logging\nResponsibilities:\nDesign, develop, and maintain scalable data solutions within the Azure Data Platform ecosystem, including Azure Synapse, Databricks, and Data Lakehouse environments.\nImplement and optimize ETL/ELT processes for ingesting, transforming, and serving data from multiple business domains.\nDevelop and maintain data processing solutions using Python, SQL, and Apache Spark.\nSupport migration and modernization initiatives, including Unity Catalog adoption, platform upgrades, and data platform transformations.\nBuild and maintain Databricks workflows, Delta Live Tables (DLT), metadata-driven frameworks, and orchestration processes.\nCollaborate with architects, analysts, and business stakeholders to translate business requirements into technical solutions.\nEnsure data quality, reliability, performance, and security across the data platform.\nTroubleshoot production incidents, perform root cause analysis, and implement corrective actions.\nContribute to CI/CD implementation, infrastructure automation, monitoring, and operational best practices.\nOptimize data pipelines, storage structures, and processing workloads to improve efficiency and reduce costs.\nParticipate in solution and architecture reviews while promoting engineering standards and governance principles.\nSupport knowledge sharing, mentoring, and technical development within the team.\nWork closely with Data Architects and platform teams to ensure alignment with enterprise data architecture, Lakehouse principles, and governance requirements.\nSupport reporting, analytics, and AI/ML initiatives by providing reliable and scalable data foundations.","description_format":"text","description_chars":3538,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Staffing & Staff 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