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 climate technology company company focused on permanent carbon storage solutions. The organization develops and operates innovative technology that captures and stores CO₂ by converting it into stable minerals underground, helping industrial partners reduce emissions and advance sustainability goals. The company combines scientific innovation, large-scale operational expertise, and a mission-driven culture focused on addressing climate change.
We are looking for a Senior Data Engineer who will be responsible for developing, enhancing, and maintaining enterprise data platform and analytical data flows, as well as supporting ongoing operational work. The role contributes to creating maximum value from data for internal stakeholders by automating routine processes and prepare the platform for a self-service use by customer’s employees.
The qualified candidate will work together with an on-site Head of Data & SW Development and will handle long-term improvements, data ingestion automation, and new data platform related development.
Tech stack: Databricks & Lakehouse setup, SQL, Spark, Python, Terraform, Grafana.
WE PROVIDE YOU WITH THE FOLLOWING EXCITING CHALLENGES
Design, build, maintain, and improve data pipelines and data platform components in Azure Databricks
Automate manual data collection, processing, and reporting workflows to improve efficiency and data quality
Develop scalable data ingestion, transformation, and monitoring solutions using Python, Spark, Terraform, and cloud-native services
Own day-to-day operational activities related to the data platform, including pipeline troubleshooting and optimization
Support scientists and technical users by enabling self-service data access and exploration capabilities
Build reliable data processing solutions that transform laboratory, field, and operational data into trusted datasets
Improve platform observability and monitoring using Grafana and related tooling
Collaborate closely with the Head of Data on planning, prioritization, architecture decisions, and implementation approaches
Identify opportunities to standardize data processes, eliminate manual work, and increase adoption of data-driven practices across the organization
Contribute to the foundation for future AI-enabled and self-service data capabilities within the Databricks platform
Document solutions, operational procedures, and architectural decisions
WE EXPECT FROM YOU
Degree (bachelor or master) in computer science or a comparable field of study
6+ years of experience working with data engineering solutions and data pipelines
Strong Python development skills
Hands-on experience with Apache Spark and Databricks
Experience building, maintaining, and troubleshooting production-grade data pipelines
Experience with Infrastructure as Code, preferably Terraform
Experience with Azure cloud services
Experience with Git-based development workflows and CI/CD practices
Understanding of software engineering princip
