Senior Data Engineer
At a glance
Senior Data Engineering role at OPTIVEUM sp. z o.o. Wrocław · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape cloud-ready data designs with business analysts, covering target architectures, models, data flows and integrations
- Build data products from source ingestion through cleansing and transformation to APIs for analytics and downstream users
- Improve ETL/ELT pipelines and create extraction and loading infrastructure while moving legacy systems toward cloud platforms
- Assess delivery risks and dependencies, then prepare implementation designs, diagrams, documentation and CI/CD automation
- Raise data quality, security and stability, and improve analytics integrations while explaining technical choices to business teams
What you bring
- You bring strong end-to-end work across analytics platforms, data products, warehouses and modern data architectures
- You have expert command of SQL/T-SQL, Python, Spark, Databricks, Delta Lake and Azure Data Factory
- You understand batch, incremental, CDC and event-driven processing, plus logical and physical data modelling
- You have built ETL/ELT solutions, including performant SSIS packages and C# script components, and modernised Azure workloads
- You can document designs and explain technical topics to business audiences in English, and will provide a criminal record certificate
Who this fits
This suits a senior engineer comfortable spanning data product design, pipeline delivery and legacy-to-cloud modernisation, with an interest in growing toward data or analytics architecture. The role is full-time and hybrid, with three office days each week in Wrocław.
From the employer
Senior Data Engineer
About 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: 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
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