Senior Data Engineer

Nasze wymagania:

• Strong end-to-end experience with analytics platforms, data products, data warehouses (star schema, Data Vault, multidimensional, tabular) and modern data architectures
• Expert knowledge of SQL/T-SQL, Python, Apache Spark, Databricks, Delta Lake and Azure Data Factory
• Experience with batch, incremental, CDC and event-driven data patterns
• Logical and physical data modelling
• ETL/ELT design, including high-performing SSIS packages and script components in C#
• API development and maintenance
• Cloud-native experience on Azure and legacy modernisation (SSIS to cloud), including technology trade-offs for storage and processing
• Agile ways of working and experience with Jira (JQL) and Confluence
• Proactive, self-starting approach with strong analytical and problem-solving skills, and ambition to grow towards a Data/Analytics Architect role
• Clear documentation and business communication in English
• Willingness to provide a criminal record certificate

Mile widziane:

• Master data management tools and practices
• Power BI (semantic models, DAX, front-ends), SSRS, MDX
• Team Foundation Server versioning and dispatching systems

O projekcie:

We 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: Wrocław
• Openings: 3

Zakres obowiązków:

• Co-driving solution design with Business Analysts: target architectures, data models, flows and integration patterns that are cloud-native, scalable and secure
• Handling 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 solutions
• Assessing feasibility, risks and dependencies; preparing implementation-ready designs, documentation, diagrams and CI/CD automation