At Bigbank, we are not maintaining legacy systems and decades-old data platforms.
We are building the future of everyday banking on a modern technology stack and a next-generation banking platform.
As a Data Engineer, you will play a key role in designing the data foundations that power decision-making, analytics, reporting, automation, and future AI-driven solutions across the bank.
If you enjoy building scalable data platforms, solving complex data challenges, and creating systems that thousands of people depend on every day, we'd love to meet you.
Join us to build the best universal bank!
Bigbank is an Estonian bank with a strong international presence, operating across eight markets. We are expanding beyond lending into everyday banking, with the ambition to become a leading universal bank in our region.
What makes this journey unique is the opportunity to build core banking services from the ground up - using modern technologies and a next-generation platform, without the constraints of legacy systems.
If you are motivated by building something real, taking ownership, and making an impact, join us and help shape the future of everyday banking.
As a Data Engineer
As a Data Engineer, you will design, build, and evolve the data platform that powers Bigbank's business decisions.
You will work closely with analytics, product, engineering, and business teams to ensure that reliable, high-quality data is available when and where it is needed.
This role combines software engineering, data architecture, cloud technologies, and platform thinking to create scalable solutions that support our growth across multiple markets.
How you will create value
You will:
Build reliable data products and pipelines that support critical business decisions across eight markets
Design scalable data models and warehouse architectures that make data easier to access, understand, and trust
Develop modern ETL/ELT solutions that automate manual processes and improve operational efficiency
Enable real-time insights by building streaming and event-driven data solutions
Improve the resilience, performance, and scalability of our data platform through modern cloud technologies
Apply engineering best practices such as CI/CD, testing, automation, and version-controlled development
Partner with analysts, engineers, and business stakeholders to solve complex data challenges
Help shape the future data architecture of a growing international bank
Why this role is exciting
Opportunity to build rather than maintain
Modern cloud and data technologies
Real impact on products used by hundreds of thousands of customers
Freedom to influence architecture and engineering practices
International environment across nine markets
Collaborative engineering culture focused on quality and continuous improvement
Opportunity to help shape the future of everyday banking
What we hope you'll bring
Must have
Advanced proficiency in Python and SQL
Proven experience designing and building robust, production-ready data pipelines
Hands-on experience working with relational databases
Comfortable using Git and following modern software development practices
Strong knowledge of Kimball dimensional modeling principles, with the ability to apply them effectively to real-world scenarios
Nice to have
Experience working with orchestration tools such as Airflow
Exposure to cloud platforms like Azure, AWS, or GCP
Familiarity with modern data solutions such as Snowflake, Databricks, BigQuery, Redshift, or Synapse
Experience with Kafka or other real-time streaming technologies
Knowledge of containerization tools, including Docker and Kubernetes
Sounds interesting? Apply now!
Need more information? Our HR Partner will answer your questions
Please submit your application only via the application link provided in this job advertisement. This helps us ensure secure processing of personal data in accordance with GDPR and a fair recruitment process for all candidates. Unfortunately, applications submitted by email cannot be considered.
signe.virolainen@bigbank.ee