Data Analytics Engineer

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.

We are seeking a Data Engineer to join our team. An expert in Data warehouse design who understands how to transform complex data models into scalable products. The successful candidate will be responsible for designing, developing, and implementing state-of-art data solutions to replace the legacy data solutions for our organisation. This includes the collection, storage, and analysis of large data sets, as well as the integration of data into business processes and systems.

Your Mission

A list of the specific duties, tasks and responsibilities in this role.

Your main functions will include:

• Maintain and improve ETL flows for some of our largest datasets

• Ensure Data reliability

• Manage stakeholder expectations around key datasets

• Build, Maintain and improve Data models

• Optimize multiple transformations

• Data warehouse design on complex data sets

Your Story

• Strong SQL skills

• At least 2 years experience in relevant field. ( Data Analytics, Analytics Engineering, Data engineering)

• Experience working with Transformation tooling (For example :DBT )

• Experience working with orchestrators (Airflow, Dagster, Meltano, etc)

• Familiarity with data modelling, data warehousing, and data pipeline design

• Practical knowledge of data structures, algorithms, and software engineering principles, with the ability to apply them to optimize data pipelines, improve ETL processes, and design efficient data models

• Experience with Python

Perks

• 26 days of Annual leave, home office, sick days

• Benefit Plus Cafeteria

• Free Mobile tariff

• Frequent team events & activities in the office and outside

• Office fruits and speciality coffee every day

• Friendly, comfortable and informal office environment

• Flexible working hours as long as it suits you and your team

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.

Originally posted on Himalayas