Middle Data Engineer (Operations, Troubleshooting)

Location: Remote (Europe-based Ukrainian candidates only)

Project Sector: EnergyTech (Iceland)

Experience: 3–5 years

English Level: Upper-Intermediate / Advanced
 

ABOUT OUR CUSTOMER

It 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. Their expertise spans EnergyTech, FinTech, ClimateTech, and more.

Founded in Ukraine and developed based on Scandinavian culture, HBM is hiring both in Ukraine and the EU. We combine the agility of a startup with a human-oriented leadership team and a strong focus on work-life balance.
 

PROJECT OVERVIEW

Our customer is a leading Icelandic energy company providing electricity, geothermal water, and carbon storage. We are looking for a Middle Data Engineer with a focus on support and optimization.

Unlike a typical "build-from-scratch" role, this position is centered around maintaining and stabilizing a complex DWH ecosystem. You will be the "guardian" of data flow, ensuring that daily operational pipelines run reliably and investigating failures in the legacy and modern stack.
 

TECH STACK

• Platforms: SQL Server, Azure
• BI Stack: Microsoft BI (SSRS, SSIS, SSAS — Olap and Tabular), Power BI, Tableau
• Tools: TimeXtender, exMon (monitoring)
• Languages: SQL (primary), Python, PowerShell
   

CHALLENGES & RESPONSIBILITIES

• Pipeline Troubleshooting: Investigating failed ETL tasks, timeouts, and execution errors.
• Root Cause Analysis: Identifying why data extractions from in-house systems (like SCADA) fail and fixing them.
• Monitoring: Working with exMon to resolve warnings and ensure data consistency in business-critical tables.
• DWH Maintenance: Correcting configuration issues in pipeline parameters, schedule triggers, or source/target connections.
• Collaboration: Working closely with the Icelandic on-site team and the Data Engineering Lead in an Agile environment.
• Documentation: Updating Jira tickets with clear English descriptions of problems and resolutions.
   

REQUIREMENTS

• Experience: 3–5 years of commercial experience with DWH solutions and data pipelines.
• SQL Mastery: Strong debugging skills, specifically with MS SQL Server.
• ETL Expertise: Solid experience with ETL/ELT workflows (SSIS, ADF, or similar).
• Analytical Mindset: Ability to parse log outputs, identify root causes, and correct code-level issues.
• DWH Concepts: Deep understanding of fact tables, dimensions, and staging layers.
• Soft Skills: Proactive "action-oriented" approach and the ability to communicate effectively with stakeholders.
• Language: Upper-Intermediate or Advanced English.
• Location: You are a Ukrainian currently residing in Europe.
   

NICE TO HAVE

• Experience with Python or PowerShell for data processing and automation.
• Background in the Energy sector or working with IoT/SCADA data.

RECRUITMENT PROCESS

1. HR Interview (30 min)
2. Managerial Interview (30 min)
3. Technical Interview (1.5 hours)
4. Customer Interview (30–45 min)
    

WE OFFER

• Long-term engagement with a stable Icelandic partner.
• A flat organization where your voice is heard.
• Flexible remote work from anywhere in Europe.
• Competitive compensation and a focus on well-being.
• Professional growth within a team that values Scandinavian work culture.