At LHV, we believe data drives smarter decisions. As a Data Warehouse Developer, you’ll work hands-on with MSSQL, help shape how data supports our teams, and grow step by step toward more complex architectural challenges.
WHAT YOU'LL DO
In your first months
Build and enhance our MSSQL-based Data Warehouse, automating key data management workflows
Develop and deliver DWH and reporting projects — from small improvements to complete end-to-end solutions
Expand and refine the data model to support new business needs
Set up, monitor, and optimize ETL/ELT processes to ensure stability and reliability
Test, validate, and implement data quality checks to keep our data accurate and consistent
After 3–12 months
Lead analysis and deliver DWH and BI solutions based on business requirements.
Collaborate with the IT operations team to administer and maintain DWH and BI processes.
Continuously improve data workflows, suggest enhancements, and bring new ideas to life.
As you grow further
Contribute to modernizing our DWH architecture — separating components, optimizing structures, and evolving toward distributed, cloud-based systems.
Explore and evaluate new tools and technologies, sharing your findings with the wider data community.
Help define and champion best practices in DWH development, data governance, and quality management.
WHAT WE'RE LOOKING FOR
We’re looking for someone who’s curious, proactive, and passionate about turning data into impact:
Strong SQL skills — complex queries, joins, aggregations, and performance tuning
Understanding of ETL/ELT concepts and data integration workflows
A keen eye for data quality and attention to detail
Higher education or equivalent practical experience
Bonus points for experience with Python, PowerShell, or cloud technologies (e.g., AWS, Azure)
WHAT WE OFFER
Real impact: The data you build powers the insights and decisions that shape LHV’s business every day
Growth and mentorship: Growth and mentorship: Learn from experienced colleagues who’ll help you develop both technically and strategically
Innovative direction: Join us on our journey toward a modern data ecosystem with data lakes, cloud solutions, and distributed architectures