Data Engineer - Fintech in Madrid or Remote
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 installment credit card – and why we're now partnering with only the most iconic brands to bring the next generation of installment 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 installment experiences.
Want to check our app from the guts? Here you can have a hint 💡
Compensation & Perks
💰 The salary range of this role is 55,000€ - 62,000€ 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, traveling to our offices when agreed with the team.
🌇 If your preference is working from our office and working onsite with other Tymiteers, we have you covered with our offices - Postpandemic.
⏰ 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 & Development is a big asset for us, and we count with a yearly budget.
🏥 Private health insurance.
👩🏽🤝👩🏻 Referral program.
💳 6 months free-interest for all Tymiteers in our Tymit card.
💻 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.
- 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.
You are learning about the currently available tools and pipelines in Tymit. You are still getting used to everything, reading documentation and performing small contributions to already existing projects.
You have a good understanding of Tymit’s Data roadmap and are able to support day to day Data requests. You probably have already created your first Data pipeline or automation!
The Data practice, platform and tools hold no secrets for you, and you are already an active part of a Data initiative with clear positive impact on the business!
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, Docker, and Terraform.
- Good knowledge of the data infrastructure ecosystem.
- Experience building data solutions in AWS (Glue, EMR, S3)
- Experience modeling data for analytics and assuring data quality.
- Experience in building and contributing to data lakes and data warehouses on the cloud.
What you can expect from our hiring process
Stage 145 min. video call with Carla, part of Tymit’s People team. Understand your career plan and what motivates you about Tymit.Stage 2
60 min. video-call with Hector and Melanie. Brief technical discussion to understand more about the role and your skills.
60 min. video-call with Hector and other Platform member. Technical discussion around a task to better understand your skills and give you a sneak peek of what it could be working at Tymit.
60 min. video-call with two people from our mix of IT team (Fran H., Jesus, Luciano or Toni). Introduction to your future team to get a sense of Tymit’s culture.
🏁– Offer 📧
If you have any disability, please let us know whether there are any adjustments we can make for our process to be more inclusive.
To meet our regulatory obligations as a licensed financial services company in the UK, Tymit needs to take background checks, Criminal and Credit checks, our new hires to help us safeguard our users.If you have any concerns regarding this process, please discuss this with our People Team.
Tymit is made up of people from various backgrounds, and you are welcome for who you are, no matter where you come from, what you look like. We seek to create a culture where everyone can belong because we believe that people do their best work to show up every day as their authentic selves. So, bring us your personal experience, your perspectives, and your background.
We do not make hiring or employment decisions based on race, religion, age, national origin, gender, gender identity or expression, sexual orientation, marital status, disability, pregnancy status, or any other difference. If you have any disability, please let us know whether there are any adjustments we can make for our process to be more inclusive.
*Please, take into account that we do not provide Visa sponsorships, and you need to have right to work in the countries where we are located.