Data analytics engineer
- š¬š§ United Kingdom
- Hybrid
- 2 days ago
- SQL
- dbt
- MongoDB
- AWS
- Python
- CI/CD
- Airflow
- Health insurance
- Learning budget
- Pension
Hybrid working one day per week in our London, Edinburgh or Bath office.
About us
Seccl is the Octopus-owned embedded investment platform, on a mission to help more people invest, and invest well.
ĀWeāre building the infrastructure behind the next generation of investing. Our technology already powers some of the UKās most ambitious fintechs, banks, financial advisers and wealth firms, with close to a million investors relying on Seccl-powered platforms. And weāre now expanding into Europe.
ĀWeāve got a proven product, strong momentum and big ambitions for what comes next: helping more household-name brands launch and scale investment propositions, entering new markets and replacing outdated investment infrastructure with technology thatās faster, simpler and built for scale.
ĀWeāre proud to be part of Octopus, one of the UKās most successful privately held investment and technology groups. That gives us the backing and long-term perspective to build something substantial, while keeping the pace and energy of a high-growth business. Seccl and Octopus are both B Corp certified and share a belief that profit and purpose should go hand in hand.
ĀIf you want to help shape the future of investing in the UK and across Europe, youāll be in good company.
ĀCheck out the Secclwebsite to see what weāre building and read more about ourmission to shape the future of investments.
ĀThe role
Seccl is growing fast, and so is the opportunity to make better use of our data. Our Data Engineering team has built strong foundations for reliable, scalable data delivery, and weāre now expanding our capabilities to make that data more accessible, actionable, and valuable to our teams and clients.
As a Data Analytics Engineer, youāll sit at the intersection of data engineering and analytics. Youāll use strong software engineering and data modelling practices to develop production-quality datasets, while working closely with stakeholders to understand how data can help solve real business problems.
Youāll also help us evolve how data moves through our platform, including opportunities to work with streaming and event-driven technologies as we move towards more timely and incremental data processing.
ĀOn a typical day you will beā¦
Designing, building, and maintaining robust data models using SQL and DBT, transforming complex source data into clear, reusable datasets for analytics and downstream consumers
Working with Product managers, Engineers, Operations, and client-facing teams to understand requirements, clarify business logic, and translate problems into scalable data solutions
Helping define and maintain consistent metrics, modelling standards, and analytical best practices across the business
Supporting our journey towards more real-time and incremental data processing, including working with technologies such as MongoDB change streams, Kafka, and AWS MSK
Helping teams become more self-sufficient with data by making datasets understandable, well documented, and easy to consume
Youāll be successful in this role if youā¦
Have strong SQL and data modelling skills and are comfortable transforming large, complex datasets into reliable, reusable analytical models
Have experience with Python and modern analytics engineering tooling such as DBT, including testing, documentation, version control, and CI/CD practices
Are familiar with both relational and non-relational database architecture
Understand dimensional modelling and how to design datasets that are intuitive and effective for analytics, BI, and downstream data products
Have experience working with cloud data platforms and services, ideally within AWS
Ideally have experience with event-driven or streaming data architectures, particularly Kafka/AWS MSK, MongoDB change streams, CDC, or similar technologies
Have hands on experience working with an orchestration tool such as Airflow
Thrive in cross-functional collaboration, working effectively with Product managers, Engineers, Operations, analysts, and client facing teams
Communicate clearly and can explain technical concepts and trade-offs to both technical and non-technical audiences
Take ownership of problems end-to-end, from understanding the requirement and designing the solution through to implementation, validation, documentation, and adoption
This role isnāt for you if:
You rely on heavily on top-down direction. Here, youāll have a freedom and ownership early on ā itās up to you to shape your growth and deliver outcomes
Youāre uncomfortable in a fast-paced environment. Our ability to move quickly and scale effectively is key to our success ā we need people who can adapt and think on their feet
You struggle to follow through on ideas. We value people who not only think big, but also deliver
You resist change. Weāre growing quickly, and the environment can be ambiguous ā youāll thrive here if you see change as an opportunity rather than a hurdle
Whatās in it for youā¦
We offer a generous blend of benefits for the things that really matter to our people, including:
š°A salary betweenĀ£55,000 and Ā£75,000ā dependant on experience + reviewed annually
š“27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave
š Two volunteering days per year
š Length of service award ā one month paid sabbatical at eight years
ā 6% employer pension contribution, and life assurance
š„ Private medical insurance with AXA Health
šŖ Enhanced Parental leave
š» MacBook and up to Ā£500 home office set up budget
š Ā£750 per person learning budget
š Option to work abroad for up to six weeks a year
š» Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace
š± Strong financial wellbeing focus including access toOctopus Money, Octopus Share Incentive Plan, will writing offering via Octopus Legacy and Seccl invest (our own platform for you to manage your investments)
šPerkbox ā Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts.
š² Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing
Our culture
We're proud to put people first, creating a culture where we truly listen to what matters most to them. Our transparent and inclusive environment encourages diversity of thought, challenge and experimentation.
Check out ourGlassdoor page for the latest reviews or ourLinkedIn for company updates and insights from the team.
Interview process
Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this:
Talent screen - 30 mins
First round - 40 mins
Second round - 60 mins
Bar raiser - 40 mins
ā³ Weāll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you donāt miss out and you should expect to hear back from us within one to two weeks of applying.
š Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
If this sounds like your kind of thing, we encourage you to apply even if you donāt tick every box. Weād love to hear from you!
Data analytics engineer Ā· Seccl