Senior Data Engineer - Fintech - Remote UK
Tymit, United Kingdom

About Tymit

At Tymit our mission is to give people the self-confidence to live life to the fullest by offering them credit that's smart, flexible and honest.

That's why we launched the world's first instalment credit card and why we're now partnering with only the most iconic brands to bring the next generation of instalment experiences to their customers.

We believe that everyone deserves financial peace of mind, that credit should only work for you, and that tech will continue to transform the way to shop, pay and manage our spending.

Our talented and growing team is based in the UK, Spain and Greece, and we're all committed to creating a diverse, fun work environment, with collaboration and the customer at the core of everything we do.

Following our 23m Series A round, closed in October 2022 and led by Frasers Group, we're focused on our next phase of growth - and creating the future of instalment experiences.

Want to check our app from the guts? Here you can have a hint

Compensation amp; Perks

The salary range of this role is 62,000 - 75,000 per annum, depending on experience.

26 days of paid holiday plus bank holidays.

Your birthday off.

Tymit is working fully remote, and all employees can remain working from home if they want, travelling to our offices when agreed with the team.

If your preference is working from our office and working on-site with other Tymiteers, we have you covered with our offices.

Flexible working hours.

Additional days to attend conferences and workshops related to technology and/or events related to Tymit’s industry and sector.

Budget for remote home expenses.

Learning amp; Development is a big asset for us, and we count with a yearly budget.

Private health insurance.

Referral program.

Budget for your home office set up.

About the role

The data engineering team maintains the company’s data storage and data processing layers, and you will be responsible for maintaining existing pipelines and help build and orchestrate the new pipelines on top of our brand new Data Platform.

The data engineering team is responsible for designing and implementing scalable solutions that allow the company to make data-driven decisions fast and accurately.

Tymit requires batch data processing, but also near-real time capabilities due to the nature of its business. The volume of data is also a challenge, so it will not be uncommon for Data Engineers to manage the resources exposed by processing clusters.

About the culture

Be ready to join a company where collaboration is key. You will be expected to share knowledge and speak up, at the same time you have the ability to listen to others and consider their opinions. At Tymit we are also big fans of good atmosphere and humour, prepare yourself to receive a bunch of GIFs.

During your time at Tymit you will

• Build scalable batch data processing systems, allowing to ingest new data sources, curating and aggregating them for their consumption downstream.
• Participate in the design and requirements gathering of new capabilities of Tymit’s Data Platform.
• Contribute to the evolution and maintenance of Tymit’s data platform that delivers accessible data to power decision-making.
• Help set development practices that promote high-quality code, testing and documentation.
• Work collaboratively with Product Data Leads, and Data Platform Engineers to understand Data requirements within Tymit.
• Mentor your fellow Junior/Mid Data Engineers, helping them grow and contribute effectively to the team’s success.

What you will bring along

• Experience in building and optimizing data pipelines in Python. Knowledge of Pandas, Spark, Airflow.
• Well-versed in the SQL language and databases. Nice to have: Terraform (IaC) and Docker (containers).
• Good knowledge of the modern data architecture ecosystem.
• Experience building data solutions in AWS (Glue, EMR, S3)
• Experience modelling data for analytics and assuring data quality. Knowledge of tools like dbt is a nice to have.
• Experience in building and contributing to data lakes and data warehouses on the cloud.
• Prior experience in documenting and propagating Data Engineering knowledge (mentoring) across the team.

What you can expect from our hiring process

Stage 1

Job Rewards and Benefits