Data Engineering Manager

Hello! We're Teya.

Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.

At Teya we believe small, local businesses are the lifeblood of our communities.

We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street.

We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters.

We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.

Become a part of our story.

We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

Your Mission

We are looking for an Engineering Manager to lead our Analytics Engineering team within the Data Engineering organisation. Your primary mandate will be to build and guide a team of analytics engineers as we rebuild our enterprise data warehouse. The ideal candidate combines deep technical expertise with strong leadership and project delivery capability, and understands how to build scalable, high-quality data products that support business analytics and decision-making.

You will partner closely with embedded analytics teams and key stakeholders across the business to deliver models and pipelines that are maintainable, governed, and reliable. In addition to technical direction, you will mentor the team, influence architecture, drive AI enablement , and establish engineering excellence.

As an Engineering Manager at Teya, you will be expected to:

• Lead, coach, and grow a high-performing analytics engineering team

• Own the technical direction around data warehouse design, modelling, and modernisation

• Ensure best practices in dimensional modelling, data quality, testing, and documentation

• Collaborate with embedded analytics teams to build and maintain trusted, scalable data products

• Plan, prioritise, and deliver projects in alignment with business goals and timelines

• Review and contribute to technical designs, DBT models, SQL logic, and pipeline architectures

• Introduce and enable AI-driven analytics and automation across data products where appropriate

• Drive Snowflake cost optimisation and ensure efficient resource usage across environments

• Improve automation, data lineage, observability, and self-service capabilities

• Work closely with Data Engineering and Platform teams on roadmap alignment and resource planning

• Foster a culture of continuous improvement, knowledge sharing, and operational excellence

Our Tech Stack

• Cloud Data Warehouse: Snowflake

• Modeling: DBT

• Orchestration: Airflow

• Streaming & Ingestion: Kafka, Airbyte

• Cloud Platform: AWS

Your Story

• Strong technical background with hands-on experience in data warehouse design and development

• 5+ years in data engineering, analytics engineering, or equivalent

• 2+ years leading or managing technical teams

• Deep understanding of dimensional modelling and data warehousing principles (star/snowflake schemas, slowly changing dimensions, etc.)

• Expert SQL and strong experience with DBT and modern ELT pipelines

• Experience with Snowflake and AWS services

• Experience managing and delivering complex data or analytics projects

• Ability to guide architectural decisions and uphold engineering standards

• Strong communication skills and stakeholder management experience

• Nice to Have

  • Experience with Snowflake and AWS services

  • Familiarity with data quality/observability tooling and governance practices

  • Python experience for pipeline development or automation

  • Exposure to AI/ML–assisted analytics or productivity tooling

The Perks

• We trust you, so we offer flexible working hours, as long it suits both you and your team;

• Health Insurance;

• Meal Allowance;

• 25 days of Annual leave (+ Bank holidays);

• Public Transportation Card;

• Frequent team events & activities in the office and outside;

• Office snacks every day;

• Friendly, comfortable and informal office environment.

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.