Senior Data Engineer

Hello. We’re Teya.

Teya was founded on a simple belief: local businesses deserve better.

They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.

Teya exists to change that.

We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.

We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.

If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you

Your Mission

We are seeking a Senior Data Engineer to join our team and help shape the future of our data platform. This role focuses on data warehousing, scalable data product development, and architectural design, transforming complex data models into reliable and scalable data products that power decision-making across the organisation.

You will play a key role in the redesign and evolution of our data warehouse, helping build a modern platform that supports advanced analytics and lays the foundation for AI and machine learning initiatives. This includes designing scalable data models, improving legacy data solutions, and ensuring high-quality, well-governed datasets that can be reliably used across the business.

As a senior member of the Data Engineering team, you will contribute to platform architecture, data product thinking, and engineering best practices, helping build a world-class scalable Data Platform that enables both analytics and future AI capabilities.

YOUR MAIN RESPONSIBILITIES WILL INCLUDE:

- Designing and evolving the architecture of our data warehouse and data platform

- Transforming complex data models into scalable, production-ready data products

- Building, maintaining, and improving data models for large and complex datasets

- Designing and optimising ETL/ELT pipelines to support scalable analytics and data products

- Establishing reliable, well-governed datasets that serve as a foundation for analytics and AI/ML use cases

- Improving data reliability, quality, and observability across key datasets

- Collaborating with stakeholders to define and deliver high-impact data products

- Driving automation and improvements across a legacy ETL ecosystem (~1500 pipelines)

- Contributing to engineering standards, documentation, and best practices within the data engineering team

- Staying informed about modern data platform technologies and industry best practices, contributing ideas that help evolve our data stack and engineering practices.

Your Story

- Strong SQL expertise, particularly in complex analytical and warehouse queries

- 5+ years experience in Data Engineering, Analytics Engineering, or Data Platform Engineering

- Strong experience with data warehousing, dimensional modelling, and data architecture

- Experience designing and delivering scalable data products

- Experience with ETL/ELT tooling (DBT, SSIS, Wherescape, or similar)

- Strong understanding of data pipeline architecture and distributed data systems

- Proficiency in Python or a similar programming language

- Understanding of how data platforms support machine learning and AI workflows

- Strong grasp of software engineering principles and best practices

- Ability to collaborate effectively with technical and non-technical stakeholders

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.