Our Story
Hello there. We’re Zopa.
We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at
Zopa.com ! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife. The Team: As an Associate Data Engineer in Simon’s Data Engineering Team, your primary mission will be to contribute to the delivery and enhancement of Zopa's analytical data platform. The team ensures that the right data is available at the right time, with the right quality, to support business decision-making, lending processes, and reporting on business performance. The role will give you an opportunity to work with a variety of data sources, ensuring they are piped into the platform reliably and efficiently. The team is responsible for building data pipelines, and they play a key role in supporting daily analytical processes, ad hoc analytics, regulatory reporting, and data-driven decisioning. The Role: This associate-level role offers a fantastic opportunity to grow your skills in data engineering and gain hands-on experience with industry-leading tools and technologies. You will play a vital role in building and improving data pipelines, working closely with senior team members and gaining exposure to various parts of the business, such as lending, analytics, and business performance. Your day-to-day responsibilities will focus on developing well-tested, high-quality data pipelines. You will also have the chance to gain hands-on experience in provisioning infrastructure and work on significant tech projects within the company. This is an excellent role for someone eager to learn and contribute to a data-driven business in a fast-paced, dynamic environment. We are looking for someone who is passionate about data, has a strong aptitude for learning, and is ready to make an impact in a supportive and collaborative team. If this sounds like you, we would love to hear from you!
About You:
Experience with Python programming Familiarity with software engineering principles Desire to grow and progress in a data engineering career Ability to work well within a team and collaborate with others Added Bonus:
Proficiency in SQL Experience with related AWS data services (e.g. Glue, Managed Airflow, Redshift, Athena, DMS, etc) Familiarity with Python frameworks such as PySpark and Pandas Exposure to Infrastructure as Code tools like Terraform Experience with CI/CD tools
#LI-DF1 Flexible working? Yes please! At Zopa we value flexible ways of working. We understand the benefits of face-to-face collaboration and the importance of a good work-life balance. Our teams work in a hybrid manner, from our vibrant UK offices and the comfort of their own homes, at a frequency that suits the team and the work they do. Not only that – you'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
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Zopa.com ! We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces. If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife. The Team: As an Associate Data Engineer in Simon’s Data Engineering Team, your primary mission will be to contribute to the delivery and enhancement of Zopa's analytical data platform. The team ensures that the right data is available at the right time, with the right quality, to support business decision-making, lending processes, and reporting on business performance. The role will give you an opportunity to work with a variety of data sources, ensuring they are piped into the platform reliably and efficiently. The team is responsible for building data pipelines, and they play a key role in supporting daily analytical processes, ad hoc analytics, regulatory reporting, and data-driven decisioning. The Role: This associate-level role offers a fantastic opportunity to grow your skills in data engineering and gain hands-on experience with industry-leading tools and technologies. You will play a vital role in building and improving data pipelines, working closely with senior team members and gaining exposure to various parts of the business, such as lending, analytics, and business performance. Your day-to-day responsibilities will focus on developing well-tested, high-quality data pipelines. You will also have the chance to gain hands-on experience in provisioning infrastructure and work on significant tech projects within the company. This is an excellent role for someone eager to learn and contribute to a data-driven business in a fast-paced, dynamic environment. We are looking for someone who is passionate about data, has a strong aptitude for learning, and is ready to make an impact in a supportive and collaborative team. If this sounds like you, we would love to hear from you!
About You:
Experience with Python programming Familiarity with software engineering principles Desire to grow and progress in a data engineering career Ability to work well within a team and collaborate with others Added Bonus:
Proficiency in SQL Experience with related AWS data services (e.g. Glue, Managed Airflow, Redshift, Athena, DMS, etc) Familiarity with Python frameworks such as PySpark and Pandas Exposure to Infrastructure as Code tools like Terraform Experience with CI/CD tools
#LI-DF1 Flexible working? Yes please! At Zopa we value flexible ways of working. We understand the benefits of face-to-face collaboration and the importance of a good work-life balance. Our teams work in a hybrid manner, from our vibrant UK offices and the comfort of their own homes, at a frequency that suits the team and the work they do. Not only that – you'll also have the option of working from abroad for up to 120 days a year!* But no matter where you are, we’ll make sure you’ve got everything you need to thrive, both in your work and home life, from day one. *Subject to having the right to work in the country of choice Diversity Statement Zopa is proud to offer a workplace free from discrimination. Diversity of experience, perspectives, and backgrounds leads to better products for our customers and a unique company culture for our people. We are made up of nearly 50 nationalities, have a DE&I forum made up of Zopians wanting to make a difference and we are proud of our culture where everyone can bring their full self to work. Our approach to DE&I is reflected in our hiring process so please let us know if you require any reasonable adjustments.
#J-18808-Ljbffr
