Data Engineer

Build the data foundation of the next-generation bank

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

• Strong Python and SQL skills
• Experience building production-grade data pipelines
• Experience with relational databases
• Understanding of data modelling and warehouse design
• Familiarity with Git and modern software development practices
  
  

Nice to have

• Experience with Airflow or similar orchestration tools
• Experience with cloud platforms (Azure, AWS, GCP)
• Experience with Snowflake, Databricks, BigQuery, Redshift, or Synapse
• Experience with Kafka or streaming technologies
• Experience with containerization technologies such as Docker and Kubernetes
  
  

[email protected]

—Need more information? Our HR Partner will answer your questions