Tech Lead - Data Warehouse
Hello from Inbank! If you’ve ever bought something in three instalments or financed your gadget purchase online or in a shop, there’s a good chance you’ve used something we built.
We’re not here to be another bank. At Inbank, we’re a modular finance platform helping businesses grow and customers pay with ease. We believe banking should feel invisible—an effortless layer that powers every great digital experience. Today, our financing rails are woven into the flow of 6,000+ leading retailers, giving around half a million customers a one-tap way to pay while turbo-charging merchants’ growth.
There are already 440+ of us across Estonia, Latvia, Lithuania, Poland, and Czechia, and we’re continuing to grow as we help thousands of retailers expand their business and reach millions of shoppers.
Due to our growth ambitions, we seek a talented Tech Lead to join our Data Warehouse team in Tallinn.
As a Tech Lead, you’ll play a key role in shaping our data future — designing and delivering scalable, high-performing solutions that power smarter decisions across the business. You’ll lead and inspire a talented team of Product Engineers, championing best practices in data modelling, performance, and governance. Leveraging Snowflake, Airflow, and Python, you’ll modernise our cloud-native data platform and unlock the full potential of advanced analytics across the organisation.
You’ll have the freedom to make architectural decisions, influence our technology direction, and see your work power real business outcomes. If you’re passionate about building modern data platforms, leading great engineers, and unlocking the value of data, this is the place to do it.
What will you be doing?
- Design, build, and maintain scalable, high-quality data solutions using Snowflake, Airflow, and Python — the backbone of our data-driven decision-making.
- Lead and mentor a talented team of Product Engineers, fostering collaboration, technical excellence, and a culture of continuous learning.
- Shape the future of our data architecture to ensure our warehouse scales with the growing needs of analytics, reporting, and innovation.
- Partner with product teams and business stakeholders to turn complex data into clear, actionable insights that drive impact across the organisation.
- Champion best practices in data modelling, performance tuning, and pipeline reliability — ensuring our data is always trusted, performant, and accessible.
Beyond the technical:
- You contribute not only code, but also ideas, mentorship, and leadership in your day-to-day work.
- You understand that collaboration and open communication are as important as technical skill.
- You take initiative, whether that’s solving a thorny technical issue, helping a teammate, or sparking a discussion about improving how we work.
- Ownership, high level of self-organisation, responsibility, and pride in delivering results that make a difference.
Why you’ll enjoy working here?
At Inbank, we believe great work deserves great rewards. That’s why we offer a competitive salary tailored to your experience, along with a comprehensive benefits package. You’ll enjoy sports compensation or additional health insurance, plus extra vacation days after your third year with us. To recognise long-term impact, we also provide a 6-week paid sabbatical after four years at Inbank.
Beyond the benefits, you’ll step into an inspiring, challenging environment where you can grow professionally, work in a hybrid and autonomous setup, and collaborate with talented teammates internationally. Add in regular team events and a variety of extra perks, and you’ll find that Inbank isn’t just a workplace—it’s a place to thrive.
If you’re driven by impact, eager to rewrite the rules of embedded finance, and excited to see your code improve real-world shopping journeys every day, Inbank is the playground you’ve been searching for.
Ideally, you’ll bring:
- Deep technical expertise in Snowflake, dbt, Airflow, and Python, with hands-on experience building and optimising data pipelines.
- Proven experience leading or mentoring a data engineering team in a modern cloud environment.
- A solid understanding of data modelling, ETL/ELT design, and data warehousing principles.
- Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with modern data architecture patterns.
- Strong knowledge of data governance, quality, and security practices — ensuring data is accurate, compliant, and well-managed.
We’d be excited if you also have experience with:
- Familiarity with infrastructure-as-code practices (e.g. GitHub Actions, Terraform, or CloudFormation).
- Understanding of DAMA-DMBOK and lineage tools (e.g. Alation, Collibra, or OpenMetadata).
- Exposure to analytics and BI platforms such as Tableau, Quicksight, Looker, or Power BI.
- Knowledge of data privacy, compliance, and security frameworks (e.g. GDPR, ISO 27001).
- Interest in machine learning, data science, or predictive analytics pipelines.
