At Tymit our mission is to reinvent the credit card to make it honest, safe, and more transparent to achieve more peace of mind when managing your finances. To prove this to our users, we have built an elegant and intuitive app linked to a credit card designed to achieve better financial well-being and control like never before.
A credit card from a tech company, not a Bank. Fintech credit makes up only a tiny fraction of overall credit. Still, it is growing rapidly, and Tymit will be at the forefront of the digital disruption in the credit card world.
Based on the UK, Spain, and Greece, our talented and growing team is committed to creating a diverse and fun work environment putting the user at the centre of every decision we make. At Tymit, we have a mantra. Customers are first because that's what drives us and our growth, and we'll continue catering to them that way.
We are small, but we think big. 🦄🦄 Do you want to join us?
As we are building out our data team, we are looking for the first Data Engineer to be part of this growth and evolution. Working alongside Juan (co-founder / chief analytics officer) and Mustafa (data scientist), you will be the third addition to our team.
You will collaborate with DS and Product proposing new processes and ways of working. A significant emphasis is placed on working opening, transparently and cooperatively.
You will primarily focus on strengthening and levelling up existing ETL pipelines and evolving our existing data warehouse solution. Together with the rest of the Analytics team, the shared aim is to push Tymit’s bandwidth for consuming and understanding our data.
During your time at Tymit you will
- Design, build and maintain real-time ETL pipelines that can scale.
- Architect, develop and maintain our data warehouse and analytics database.
- Write high-quality code, provide quality code reviews, and create comprehensive tests and quality documentation that solve moderately complex problems on our data structures and algorithms.
- Collaborate closely with the Analytics team around data sources, turning raw structured and unstructured data into dimensional models usable by various initiatives.
- Take part in daily stand-ups, stand-ups and coordinated workflows. Partner with Product and broader Analytics team to build new client-facing analytics and internal tools, making Tymit more data-driven.
- Collaborate on critical technology decisions concerning architecture and toolset.
- Take ownership of scaling, performance, security, and reliability of our data infrastructure.
- Establish, mentor and advice on data engineering best practices across Tymit.
- Following Tymit’s technology strategy, champion innovative technologies, enforce the best development patterns and practices, and promote these to the wider Team.
- Understand and adhere to all Tymit’s policies and procedures and adopt the responsibilities required when working for a regulated entity.
What you will bring along
- You have proven experience in building/operating/maintaining scalable data processing integrations using AWS. You bring strong coding skills in preferably Python, Java, and Scala – in that order.
- You have experience using Docker. Jenkins is a plus.
- You have strong SQL skills and experience working with relational/columnar databases (e.g. SQLServer, Postgres, Oracle, Presto, Hive, BigQuery etc.)
- You can identify and resolve problems associated with production-grade large scale data processing workflows.
- You have experience creating and maintaining unit tests and continuous integration.
- You have a good understanding of data modelling, data access, and data storage techniques.
- You are passionate about creating intelligent data pipelines that your customers love to use.
- You can think holistically and focus on small intricate details essential for the high-impact role you will play at Tymit.
- You are a great achiever who has a strong orientation for results beyond just great ideas.
- You have the desire to solve problems whilst wanting to inspire and share your knowledge and passion for Tymit and fintech.
Compensation & Perks
💰 The salary range of this role is 35,000€ – 45,000€ per annum depending on experience.
🏝 25 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 Madrid or London office when required.
🌇 If your preference is working from our office and working onsite with other Tymiteers, we have you covered with our office in Avenida America - Postpandeminc.
⏰ Flexible working hours.
🤓 Additional days to attend conferences and workshops when related to technology and/or events related to Tymit’s industry and sector.
What you can expect from our hiring process
45 min. video call with Cynthia, part of Tymit’s People team. Understand your career plan and what motivates you about Tymit.
30 min. video-call with Mus, Data Scientist. Brief 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 Juan, Co-founder & CAO and Mus, Data Scientist. 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 Fran, Platform Lead and Diego, Principal Platform Engineer. Brief technical discussion to understand how you would fit into the Tymit tech stack.
🏁– 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 a wide variety of 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.