HBM

Joined in 2021
7% answers
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, Legal Tech, SocialTech, PropTech, etc.

Originally a strong Ukrainian talent hub with its heart in Kyiv, since February 24th, 2022, we have started onboarding EU talents to mitigate risks for our customers. We continue to stand as one strong team with a human touch.

HBM as adopted much of its work culture from Scandinavian culture. Our values include skills, passion, excellence, equality, openness, mutual respect, and trust.  

HBM works in three directions

- Startup Studio. Helping startups in building exciting products from the idea to MVP and Go-to-market.

- Technology Partner. Offering end-to-end tech, delivery, and talent management capabilities and holistic approach to support our customers in their digital transformation and deliver long-lasting business value.

- Product Marketing Lab. Helping companies to create products that will fit the market and scale them.

In addition, we are excited to be a preferred tech partner to Propell, the Scandinavian group of companies, focusing on building products for the benefit of society and the planet.

So, you can become a real foundation and a backbone of the company, heavily contribute into shaping our strategy, culture, traditions, principles, delivery model, etc. We are looking for passionate and innovative thinking people, ready to create something very special — for colleagues, customers, and the company.
  • · 53 views · 4 applications · 9d

    Data Engineer_support

    Full Remote · EU · 3 years of experience · English - B2
    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,...

    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. 
    More
  • · 43 views · 1 application · 9d

    Senior Data Engineer

    Full Remote · EU · 6 years of experience · English - B2
    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,...

    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 Senior Data Engineer who will be responsible for developing, enhancing, and maintaining enterprise data warehouse, data platform, and analytical data flows. The role supports all company’s subsidiaries and contributes to creating maximum value from data for internal stakeholders. 

    The qualified candidate will work as part of the Data Engineering team and will handle complex 3rd-line issues, long-term improvements, and new data development. The work will be aligned with the team’s structured 3-week planning cycles, and tight collaboration with the on-site Team Lead is expected. 

    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 EXCITING CHALLENGES 

    • 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. 

     

      

    WE EXPECT FROM YOU 

    • 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 

     

    WOULD BE A PLUS 

    • 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 

     

     

     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. 
    More
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