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About the Role

We are seeking a Senior Data Engineer to join our team and help shape the future of our data platform. This role focuses on building and maintaining the core data infrastructure, working on the entire lifecycle of data from ingestion pipelines and their infrastructure to orchestration and governance. You will play a key role in expanding the capabilities of our data platform, helping build new features that power decision-making across the organisation. 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.

Responsibilities

Designing and evolving the architecture of our data infrastructure
Maintaining the existing data platform
Ensuring the reliability of our data ingestion pipelines
Propagating learnings in the Data Engineering team to other parts of Teya
Guaranteeing proper data governance following best practices, while not adding 100 steps of bureaucracy
Improving data reliability, quality, and observability across key datasets, while ensuring data pipelines are simple to set up
Building, maintaining, and improving data models for large and complex datasets, while ensuring they have a simple lifecycle
Designing and optimising ETL/ELT pipelines to support scalable analytics and data products
Collaborate with data analysts, analytics engineering and engineering teams to turn their data platform use cases into reliable production solutions
Participate in the team's on-call rotation, investigate production incidents and contribute to improvements across Teya to prevent them from recurring
Participate in technical discussions and code reviews, contributing to maintainable designs and strong engineering standards
Create and maintain clear technical documentation and operational runbooks

Requirements

5+ years experience in Data Engineering or Data Platform Engineering or Software Engineering working with Data
Strong SQL expertise, particularly in complex analytical and warehouse queries
Proficiency in Python and/or Java
Experience with Data Warehouses, such as Snowflake or Apache Iceberg
Practical knowledge deploying and operating containerised workloads using Docker and Kubernetes
Knowledge of streaming tooling (Kafka, Kafka Connect, Flink,…)
Experience with ETL/ELT tooling (dbt, Airflow, Airbyte, dlt,..)
Hands-on experience provisioning and managing cloud infrastructure with Terraform
Experience with CI/CD pipelines, automated testing and Git-based development workflows
Familiarity with observability practices, including logging, metrics, alerting and production troubleshooting
Strong grasp of software engineering principles and best practices
Experience contributing to or leading data warehouse architecture or redesign initiatives
Ability to collaborate effectively with technical and non-technical stakeholders
Strong experience with data warehousing, dimensional modelling, and data architecture

Skills

SQL
Python
Java
Snowflake
Apache Iceberg
Docker
Kubernetes
Kafka
Kafka Connect
Flink
dbt
Airflow
Airbyte
dlt
Terraform
CI/CD
Automated testing
Git
Observability
Logging
Metrics
Alerting
Production troubleshooting
Software engineering principles
Data warehousing
Dimensional modelling
Data architecture

Experience Level

Senior

About the Company

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

Equal Opportunity

Teya is proud to be an equal opportunity employer.
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.