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 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 [email protected] —Need more information? Our HR Partner will answer your questions