Senior Data Engineer – Cloud Data (Azure/Databricks, MDM)

Optiveum; Wrocław; Hybrid; PLN 182,000 - 259,000; Full time

Job summary

Optiveum is seeking a Senior Data Engineer to join agile product teams for an automotive-industry client. You will work end-to-end on data engineering within a modern cloud architecture, managing master data and optimising data flows as legacy SSIS/MS SQL Server BI transitions to Azure and Databricks.

The role is hybrid in Wrocław, with 40 hours per week and 3 days in the office. Opportunities to drive data products, design scalable pipelines and collaborate with data stewards, architects and

Qualifications

• Strong end-to-end experience with analytics platforms, data products, data warehouses 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 SSIS packages and C# scripting.
• API development and maintenance.
• Cloud-native experience on Azure and legacy modernization (SSIS to cloud).
• Agile methods, Jira/JQL and Confluence.
• Clear English communication; willingness to provide a criminal record certificate.

Responsibilities

• Co-drive solution design with Business Analysts for cloud-native, scalable data architectures.
• Handle data ingestion, cleansing, standardisation, transformation and API provisioning from source systems.
• Optimize ETL/ELT flows and modernize legacy solutions.
• Prepare implementation-ready designs, documentation, diagrams and CI/CD automation.
• Collaborate with stakeholders to ensure quality, security and stability.
• Evaluate analytics solutions and communicate technical topics to business audiences.

Skills

Data architecture

Data modelling

Analytics platforms

Data warehouses

Batch/CDC/ETL patterns

Tools

SQL/T-SQL

Python

Apache Spark

Databricks

Delta Lake

Azure Data Factory

SSIS

Job description

Optiveum is seeking a Senior Data Engineer to join agile product teams for an automotive-industry client. You will work end-to-end on data engineering within a modern cloud architecture, managing master data and optimising data flows as legacy SSIS/MS SQL Server BI transitions to Azure and Databricks.

The role is hybrid in Wrocław, with 40 hours per week and 3 days in the office. Opportunities to drive data products, design scalable pipelines and collaborate with data stewards, architects and