Data Engineer_support

OUR COMPANY  

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. 

PROJECT 

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. 

WE PROVIDE YOU WITH THE FOLLOWING CHALLENGES 

• Troubleshooting failed scheduled tasks (e.g., ETL pipelines that time out, fail on specific datasets, or produce partial/incomplete outputs) 
• Investigating recurring timeout issues in ETL jobs (e.g., exMon timeout while running data extraction from in-house systems) 
• Resolving warnings raised by the monitoring system (exMon) 
• Identifying and escalating data quality inconsistencies (e.g., discrepancies in RG41 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 on-site team (status meeting, sprint planning, etc) 
• Collaborating closely with the Data Engineering Team Lead for priorities and escalations 
• Updating Jira tickets in English with clear problem descriptions and resolutions 
• Gradually take on more data engineering tasks (beside support) 

WE EXPECT FROM YOU 

• Degree (bachelor or master) in computer science or a comparable course of study 
• 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, ADF, custom pipelines, or similar) 
• Familiarity with data warehouse concepts (fact tables, dimensions, staging layers) 
• Ability to parse log outputs, identify root causes, and correct configuration or code-level issues in data jobs 
• Experience with job scheduling/monitoring systems (e.g., exMon or equivalents) 
• 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 

WOULD BE A PLUS 

• Experience with Python or similar languages for data processing 

  WE OFFER YOU 

• 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.