Senior Data Engineer

Optiveum

. Co-drive solution design with Business Analysts, including target architectures, data models, flows and integration patterns that are cloud-native, scalable and secure .

Posted 10/27/2026full-timeWrocław • PolandSenior💰 PLN 160 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics platforms, data products, and modern data architectures, with a strong focus on SQL/T-SQL, Python, and cloud-native solutions on Azure. Proficient in ETL/ELT design and implementation, with a proactive approach to problem-solving and effective communication with stakeholders.

Highest-signal resume keywords

Expert Knowledge Of SQL/T-SQLStrong End-To-End Experience With Analytics PlatformsCloud-Native Experience On AzureETL/ELT Design Including High-Performing SSIS PackagesLogical And Physical Data Modelling

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Hard Skills

SQL/T-SQLPythonApache SparkDatabricksDelta LakeAzure Data FactoryETL/ELT DesignData ModellingData WarehousingMaster Data Management

Soft Skills

Analytical SkillsProblem-Solving SkillsClear DocumentationBusiness CommunicationProactive Approach

Tools & Technologies

SSISPower BITeam Foundation ServerJiraConfluence

Certifications & Qualifications

Criminal Record Certificate

Industry Keywords

Data ProductsData WarehousesCloud-Native SolutionsAgile MethodologiesData Lifecycle Management

Tech Stack

Tools & technologies

ApacheAzureCloudETLMS SQL ServerPythonSparkSQLSSISTFSVault

About the role

Key responsibilities & impact

Co-drive solution design with Business Analysts, including target architectures, data models, flows and integration patterns that are cloud-native, scalable and secure
Handle data ingestion, cleansing, standardisation, transformation and API provisioning from source systems
Optimise existing ETL/ELT flows and build infrastructure for extraction and loading from diverse sources
Modernise legacy solutions from SSIS and MS SQL Server BI to Azure and Databricks
Assess feasibility, risks and dependencies
Prepare implementation-ready designs, documentation, diagrams and CI/CD automation
Work with stakeholders, data stewards, architects and teams to deliver quality, security and stability requirements
Evaluate and improve analytics solutions
Integrate systems and explain technical topics to business audiences
Manage master data data products throughout the full data product lifecycle

Requirements

What you’ll need

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#
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
Nice to have: Power BI (semantic models, DAX, front-ends), SSRS, MDX
Nice to have: Team Foundation Server versioning and dispatching systems

Benefits

Comp & perks

Full-time employment, 40 h/week
Hybrid work model
Cooperation agreement directly with Optiveum
B2B contracting arrangement