Senior Data Engineer

18 godzin temu
wrocław, lower silesian voivodeship, Polska OPTIVEUM sp. z o.o. Pełny etat
Senior Data EngineerAbout the OfferWe are currently looking for Senior Data Engineers to join agile product teams at our client from the automotive industry. You will work end to end on data engineering in a modern cloud architecture: managing master data (MDM) data products, optimising data flows and driving the move from legacy solutions (SSIS, MS SQL Server BI) to cloud-native platforms on Azure and Databricks. The focus is on the full data product lifecycle, from design and ingestion to delivering high-quality master data for analytics and downstream consumers. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.
Key Details:Rate: up to 160 PLN/h net (B2B)Work Model: hybrid, 3 days per week from the office, full-time (40 h/week)

Location:
WrocławOpenings: 3Responsibilities:Co-driving solution design with Business Analysts: target architectures, data models, flows and integration patterns that are cloud-native, scalable and secureHandling data ingestion, cleansing, standardisation, transformation and API provisioning from source systems (e.g. customer and product master data)Optimising existing ETL/ELT flows, building infrastructure for extraction and loading from diverse sources, and modernising legacy solutionsAssessing feasibility, risks and dependencies; preparing implementation-ready designs, documentation, diagrams and CI/CD automationWorking with stakeholders, data stewards, architects and teams to deliver non-functional requirements such as quality, security and stabilityEvaluating and improving analytics solutions, integrating systems and explaining technical topics to business audiencesRequirements:Strong end-to-end experience with analytics platforms, data products, data warehouses (star schema, Data Vault, multidimensional, tabular) and modern data architecturesExpert knowledge of SQL/T-SQL, Python, Apache Spark, Databricks, Delta Lake and Azure Data FactoryExperience with batch, incremental, CDC and event-driven data patternsLogical and physical data modellingETL/ELT design, including high-performing SSIS packages and script components in C#API development and maintenanceCloud-native experience on Azure and legacy modernisation (SSIS to cloud), including technology trade-offs for storage and processingAgile ways of working and experience with Jira (JQL) and ConfluenceProactive, self-starting approach with strong analytical and problem-solving skills, and ambition to grow towards a Data/Analytics Architect roleClear documentation and business communication in EnglishWillingness to provide a criminal record certificateNice to have:Master data management tools and practicesPower BI (semantic models, DAX, front-ends), SSRS, MDXTeam Foundation Server versioning and dispatching systems

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