Senior Data Engineer (for Ukrainians in EU)

About our Customer
It's a European company turning bold ideas into reality.  We build innovative products for startups and guide established companies on their journey to data-driven innovation and AI-powered solutions. Our expertise spans EnergyTech, FinTech, ClimateTech, SocialTech, PropTech , and more.
 

Founded in Ukraine with a Scandinavian-inspired culture.
 

We value skills, passion, excellence, equality, openness, mutual respect, and trust. You’ll join a growing company, work with creative, inspiring colleagues, explore cutting-edge technologies, and build AI-driven solutions that make a real impact.
 

Project
Our client is an Icelandic energy company  providing electricity, geothermal water, cold water, carbon storage, and optic networks.
 

We are looking for a Senior Data Engineer ready to dive deep into data, solve challenging problems, and create maximum value for internal stakeholders. You’ll handle complex issues, design long-term improvements, and develop new data pipelines as part of an enthusiastic and collaborative Data Engineering team.
 

Tech Stack:
🗄️ MS SQL Server | Azure/Databricks | Power BI, Tableau | Microsoft BI stack (SSRS, SSIS, SSAS) | TimeXtender | exMon
 

Responsibilities:

• Develop & maintain enterprise data warehouse, data marts, staging layers, and transformation logic
• Design, implement & optimize ETL/ELT pipelines (SQL Server, Azure, Databricks)
• Build & maintain robust data models (dimensional/star-schema, semantic layers, analytical datasets)
• Improve BI environment and ensure data is reliable and actionable
• Implement controlled data delivery processes to analysts & BI specialists
• Support data quality frameworks, testing & validation procedures
• Investigate 3rd-line operational issues & guide 2nd-line support
• Run stakeholder workshops to translate business needs into elegant technical solutions
• Identify opportunities to improve data usability, value, and automation
• Document all processes, models, and pipelines in Confluence
• Collaborate with on-site Team Lead for sprint planning, backlog refinement, and prioritization
   

Requirements

• Bachelor’s or Master’s in Computer Science or related field
• 6+ years of experience with DWH solutions & data pipelines
• Strong SQL development skills (MS SQL Server preferred)
• ETL/ELT workflow experience using:
  • Databricks
  • Azure Data Factory / cloud orchestration tools
  • Azure data platform services (storage, compute, data lake)
• Solid understanding of data warehouse architectures & dimensional modeling
• Experience with data quality checks, validation, and monitoring
• Understanding of BI concepts & ability to prepare user-friendly datasets
• Strong communication, able to explain data concepts to stakeholders
• Willingness to document solutions and share knowledge
• Experience in distributed, cross-cultural Agile environments
• English: upper-intermediate / advanced

🔹 Bonus / Nice to Have

• Python or similar for data processing
• Performance tuning for SQL or data pipelines
• Interest in visual clarity & usability of data models