Senior Data Engineer

HBM is a European company building exciting new products from scratch for startups and helping mature companies in their journey towards data-driven innovation and AI based solutions. Our expertise refers to EnergyTech, FinTech, ClimateTech, SocialTech, PropTech, etc.

Founded in Ukraine and developed based on Scandinavian culture, HBM is hiring both in Ukraine and the EU for our customers located in Europe and USA.  

Our values include skills, passion, excellence, equality, openness, mutual respect, and trust.

At HBM, you can become a part of growing company, work with creative colleagues, and enjoy modern technologies and creating AI-based solutions. You’ll be part of a strong corporate culture combined with the agility and flexibility of a start-up backed by proven outsourcing and development practices, a human-oriented leadership team, an entrepreneurial mindset, and an approach to work-life balance.

Our customer is an Icelandic energy company providing electricity, geothermal water, cold water, carbon storage and optic network.  

We are looking for a Data Engineer with strong technical troubleshooting skills to be responsible for monitoring, investigating, and resolving operational issues related to data warehouse and data pipelines. The qualified candidate will work as part of the Data Engineering team and will handle incoming 2nd-line support tickets (primarily task failures, timeouts, execution errors, and data inconsistencies in scheduled processes).

The role ensures that daily operational data flows run reliably and that incidents are triaged and resolved efficiently.

Tech stack: MS SQL Server, Azure/Databricks, Power BI, Tableau, Microsoft BI stack (SSRS, SSIS,SSAS [Olap and Tabular]) , TimeXtender, exMon.

• Develop and maintain the enterprise data warehouse, data marts, staging layers, and transformation logic

• Design, implement, and optimize ETL/ELT pipelines (SQL Server, Azure data components, Databricks, etc.)

• Build and maintain robust data models (dimensional/star-schema, semantic layers, analytical datasets)

• Develop and improve the BI environment and the underlying data processes used by analysts across the company

• Implement processes for controlled, reliable data delivery to BI specialists, analysts, and modelling teams (e.g., forecasting, scenario modelling)

• Support data quality frameworks and implement testing/validation procedures

• Investigate and resolve escalated 3rd-line operational issues and guide 2nd-line support in root cause analysis

• Conduct stakeholder workshops to understand business requirements and translate them into technical data solutions

• Identify opportunities to improve data usability, analytical value, and process automation

• Document data processes, models, pipelines, and architectural decisions in Confluence

• Collaborate with the on-site Team Lead during sprint planning, backlog refinement, and prioritization.

Degree (bachelor or master) in computer science or a comparable course of study

• 6+ years of experience working with DWH solutions and data pipelines

• Strong SQL development skills, preferably in MS SQL Server

• Experience building and maintaining ETL/ELT workflows using:

• Databricks

• Azure Data Factory or similar cloud-based data orchestration tools

• Azure data platform services (e.g., storage, compute, data lake formats)

• Solid understanding of data warehouse architectures and dimensional modelling

• Experience with data quality checks, validation frameworks, and monitoring

• Understanding of BI concepts and ability to prepare user-friendly analytical datasets

• Experience collaborating with business stakeholders and capturing analytical or operational data requirements

• Strong communication skills and the ability to explain data concepts clearly

• Willingness to document solutions and share knowledge within the team

• Excellent communication skills, ability to communicate to stakeholders on multiple levels

• Action and quality-oriented

• Experience of work the distributed, cross-culture Agile environment

• English: upper-intermediate / advanced

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WOULD BE A PLUS

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• Experience with Python or similar languages for data processing

• Experience with performance tuning for SQL or data pipelines

• Interest in visual clarity, usability of data models, and BI-driven design

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• Modern technologies, new products development, different business domains.

• Start-up agility combined with mature delivery practices and management team.

• Strong focus on your technical and personal growth.

• Transparent career development and individual development plan.

• Flexible working mode (remote/work from office), full remote possibility.

• Competitive compensation and social package

• Focus on the well-being and human touch.

• Flat organization where everyone is heard and is invited to contribute.

• Work-life balance approach to work.

• Passion and Fun in everything we do.