Senior Data Engineer

Technologies we use

Expected

• SQL
• T-SQL
• Python
• Apache Spark
• Databricks
• Azure DevOps
• Azure SQL
• Azure Cosmos DB
• Microsoft SQL Server

Optional

• PowerShell

Operating system

• Windows

About the project

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

This is how we organize our work

This is how we work

• you have influence on the technological solutions applied
• you focus on product development
• agile

Team members

• architect
• data scientist
• product owner
• project manager

Your 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

Our 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

Optional

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

What we offer

• full-time

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps
• documentation
• issue tracking tools

Development opportunities we offer

• external training
• mentoring

Interested? Apply now and help a leading Nordic bank stay ahead of security risks!

OPTIVEUM SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

Optiveum is acting as a sourcing partner for this role. You will be signing a cooperation agreement directly with our partner—a renowned IT contracting company with nearly 20 years of presence on the market.

The end client operates in the international public, defense, or government administration sector, leading large-scale, multi-million euro digital transformation projects.

This is how we work