Data Engineer. 2nd Line Support (for Ukrainians in EU)

🏢 About our Customer
 

It is a European company building exciting products from scratch for startups and helping mature companies move towards data-driven innovation and AI-based solutions.
Our expertise covers EnergyTech, FinTech, ClimateTech, SocialTech, PropTech, and more.
 

Founded in Ukraine and shaped by Scandinavian culture, HBM hires across Ukraine and the EU for customers located in Europe and the USA.
 

We value skills, passion, excellence, equality, openness, mutual respect, and trust. You’ll join a growing company with creative colleagues, modern technologies, a human-oriented leadership team, and a strong focus on work–life balance.
 

⚙️ Project

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

We are looking for a Data Engineer with strong technical troubleshooting skills to support and maintain the operational stability of the data warehouse and data pipelines.

You will be part of the Data Engineering team and primarily handle incoming 2nd-line support tickets related to 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 & Tabular), TimeXtender, exMon

🧩 We Provide You with the Following Challenges

• Troubleshooting failed scheduled tasks (ETL pipelines that time out, fail on specific datasets, or produce partial/incomplete outputs)
• Investigating recurring timeout issues in ETL jobs (e.g. exMon timeouts during data extraction from in-house systems)
• Resolving warnings raised by the monitoring system (exMon)
• Identifying and escalating data quality inconsistencies (e.g. discrepancies in SCADA data, mismatches in business-critical tables)
• Running or re-running failed jobs when appropriate
• Correcting configuration issues in pipeline parameters, schedule triggers, or source/target connections
• Cooperating closely with the on-site team (status meetings, sprint planning, etc.)
• Collaborating closely with the Data Engineering Team Lead on prioritization and escalations
• Updating Jira tickets in English with clear problem descriptions and resolutions
• Gradually taking on more data engineering tasks in addition to support responsibilities
   

✅ We Expect From You

• Bachelor’s or Master’s degree in Computer Science or a comparable field
• 3+ years of experience working with DWH solutions and data pipelines
• Strong SQL debugging skills (preferably MS SQL Server)
• Experience with ETL / ELT workflows (SSIS, Azure Data Factory, custom pipelines, or similar)
• Familiarity with data warehouse concepts (fact tables, dimensions, staging layers)
• Ability to analyze logs, identify root causes, and resolve configuration or code-level issues
• Experience with job scheduling and monitoring systems (exMon or equivalent tools)
• Excellent communication skills and ability to work with stakeholders at different levels
• Action- and quality-oriented mindset
• Experience working in distributed, cross-cultural Agile environments
• English: upper-intermediate / advanced
   

⭐ Would Be a Plus

• Experience with Python or similar languages for data processing