Senior Data Engineer

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

Senior Data Engineer

About the Offer

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

Responsibilities:

• 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

• Working with stakeholders, data stewards, architects and teams to deliver non-functional requirements such as quality, security and stability

• Evaluating and improving analytics solutions, integrating systems and explaining technical topics to business audiences

Requirements:

• 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

Nice to have:

• Master data management tools and practices

• Power BI (semantic models, DAX, front-ends), SSRS, MDX

• Team Foundation Server versioning and dispatching systems