Senior Data Engineer - Fintech - Remote Spain

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 and Spain 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 2021 and led by Frasers Group, we're focused on our next phase of growth - and creating the future of instalment experiences.

Compensation & Perks The salary range of this role is 60,000 – 70,000 euros 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 continue working from home if they want, travelling to our offices when agreed with the team. 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. Private health insurance. Referral program. Budget for your home office set up. About the role We are seeking a seasoned Senior Data Engineer to play a pivotal role in advancing Tymit's data strategy. As an individual contributor with a strategic mindset, your primary responsibility will be the technical implementation and optimization of our data infrastructure, ensuring that it is scalable, secure, and aligned with our business goals.

This role is critical to Tymit's success, as you will be responsible for designing and refining our data architecture, driving innovation, and solving complex technical challenges that directly impact our mission. You will be a key team member of the data team, working closely with cross-functional teams to develop and manage data pipelines, data models, promote best practices in data governance and security, and lead initiatives that enhance the overall data capabilities of the organization.

We are small, but we think big. Do you want to join us?

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 a good atmosphere and humour, prepare yourself to receive a bunch of GIFs.

The Data Team at Tymit works to apply good practices and agile methodologies.

During your time at Tymit you will Lead the design, implementation, and ongoing optimization of scalable data architectures using AWS services like Glue, Redshift, Athena, S3, and Lambda. You will set the technical direction for data systems that support the company's long-term goals. Provide technical leadership within the data team, mentoring mid-level and junior engineers, guiding best practices, and fostering a culture of continuous learning and innovation. Tackle the most challenging technical issues, offering innovative solutions that enhance system performance, security, scalability, and data usability. Your expertise will be crucial in navigating complex technical landscapes and integrating new technologies. Work closely with product, engineering, and business intelligence teams to develop and maintain data models that support both operational reporting and advanced analytics. Lead efforts in data governance, ensuring data integrity, compliance, and security across all platforms. You will be responsible for developing and enforcing robust data security policies and governance frameworks. Champion the adoption of automation and best practices in data processes. You will leverage tools like Jenkins, Docker, and Terraform to streamline workflows and continuously refine Tymit's data architecture. Key technologies we use at Tymit At Tymit, we leverage a robust and modern technology stack to drive our data initiatives and support our mission to reinvent the future of credit. As a Senior Data Engineer, you will work with the following key technologies:

AWS Cloud: Utilizing services like Glue, Redshift, Athena, S3, Lambda, and ECS to build our data infrastructure. Data Processing Tools: Tools like Airflow, dbt, and Apache Spark for managing data pipelines and processing. Programming Languages: Python, Bash, and SQL for data manipulation, scripting, and querying. Automation & CI/CD: Jenkins, Docker, and Terraform for automating processes and managing infrastructure as code. Data Visualization & BI: Metabase for creating and sharing data visualizations and dashboards across the organization. By integrating these technologies, we ensure that Tymit remains at the forefront of data innovation, enabling us to deliver superior credit solutions and insights to our customers.

What You Will Bring Along Advanced Technical Expertise: Extensive background in event-driven architectures, change data capture (CDC), along with a solid foundation in data modelling. Experience with AWS data services, including Glue, Redshift, Athena, S3, and Lambda, and strong proficiency in Python, SQL, and Git. Proven Leadership Skills: Experience mentoring and guiding junior and mid-level engineers, with a focus on fostering a collaborative and innovative team environment. Complex Problem-Solving Ability: Demonstrated success in solving complex technical challenges, particularly in designing and optimizing large-scale data architectures. Balanced Independence and Teamwork: Ability to work autonomously and take ownership of major projects, while being an effective and reliable team player who contributes to collective goals and collaborates seamlessly with others. Strategic Vision: A deep understanding of how to align technical data strategies with broader business objectives, ensuring that data solutions support long-term growth. Commitment to Best Practices: A passion for continuous improvement, with a focus on implementing best practices, automation, and innovative technologies to enhance data processes. Nice-to-Have Experience in FinTech: Previous experience working in the FinTech industry, particularly in roles focused on data transformation and exploitation, is a plus. Startup Mindset: Ability to navigate the ambiguity of a startup environment, taking initiative and driving projects forward amidst evolving business needs. What you can expect from our hiring process Stage 1
45 min. video call with Tymit's People team. Understand your career plan and what motivates you about Tymit. Stage 2
30 min. video-call with the Hiring Manager. Brief technical discussion to understand more about the role and your skills. Stage 3
90 min. video-call with two members of the data team. Technical discussion around a task to better understand your skills and give you a sneak peek of what it could be working at Tymit. Stage 4
– Offer

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.



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