Data Engineer

Company Description

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.

Job Description

Your Role

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 upgrades to some of our legacy data solutions for our organisation. This includes the collection, storage, and analysis of large data sets from multiple companies, as well as the integration of data into business processes and systems.

Along with working in a strong Data Engineering team on building a world class scalable Data Platform.

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
• Implement automation on a a legacy 1500 ETL system
• Build, Maintain and improve Data models
• Data warehouse design on complex data sets

Qualifications

Your Story

• Strong SQL skills
• At least 3 years experience in relevant field. ( Data Analytics, Analytics Engineering, Data engineering)
• ETL tooling (DBT, SSIS, Wherescape etc.)
• Familiarity with data modelling, data warehousing, and data pipeline design
• Strong understanding of data structures, algorithms, and software engineering principles
• Experience with Python

Additional Information

The Perks

• Competitive salary;
• Health Insurance;
• 25 days of Annual leave (+ Bank holidays);
• Flexible working hours, as long it suits both you and your team.