ВеликобританияData analytics engineer
1 нед. назад
ВеликобританияHybrid
data analyticsetlsqlpython
Data analytics engineer role at focusing on investment platform infrastructure with hybrid work in UK offices.
О компании
- is the Octopus-owned embedded investment platform, on a mission to help more people invest, and invest well.
- We’re building the infrastructure behind the next generation of investing. Our technology already powers some of the UK’s most ambitious fintechs, banks, financial advisers and wealth firms, with close to a million investors relying on -powered platforms. And we’re now expanding into Europe.
- We’ve 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next: helping more household-name brands launch and scale investment propositions, entering new markets and replacing outdated investment infrastructure with technology that’s faster, simpler and built for scale.
- We’re proud to be part of Octopus, one of the UK’s 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. and Octopus are both B Corp certified and share a belief that profit and purpose should go hand in hand.
- If you want to help shape the future of investing in the UK and across Europe, you’ll be in good company.
- Check out the website to see what we’re building and read more about our mission to shape the future of investments.
- 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 our Glassdoor page for the latest reviews or our LinkedIn for company updates and insights from the team.
Обязанности
- 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 we’re now expanding our capabilities to make that data more accessible, actionable, and valuable to our teams and clients.
- As a Data Analytics Engineer, you’ll sit at the intersection of data engineering and analytics. You’ll 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.
- You’ll 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.
- 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
Как откликнуться
- 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
- ⏳ We’ll 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 don’t miss out and you should expect to hear back from us within one to two weeks of applying.
- 🌈 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 don’t tick every box. We’d love to hear from you!
Другое
- Hybrid working one day per week in our London, Edinburgh or Bath office.
- 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
- You rely on heavily on top-down direction. Here, you’ll have a freedom and ownership early on – it’s up to you to shape your growth and deliver outcomes
- You’re uncomfortable in a fast-paced environment. Our ability to move quickly and scale effectively is key to our success – 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. We’re growing quickly, and the environment can be ambiguous – you’ll thrive here if you see change as an opportunity rather than a hurdle
- We offer a generous blend of benefits for the things that really matter to our people, including:
- 💰A salary between £55,000 and £75,000 – dependant on experience + reviewed annually
- 🌴27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave
- 💙 Two volunteering days per year
- 🏅 Length of service award – one month paid sabbatical at eight years
- ✅ 6% employer pension contribution, and life assurance
- 🏥 Private medical insurance with AXA Health
- 👪 Enhanced Parental leave
- 💻 MacBook and up to £500 home office set up budget
- 📖 £750 per person learning budget
- 🌎 Option to work abroad for up to six weeks a year
- 🌻 Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace
- 🌱 Strong financial wellbeing focus including access to Octopus Money , Octopus Share Incentive Plan, will writing offering via Octopus Legacy and invest (our own platform for you to manage your investments)
- 🎁 Perkbox – Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts.
- 🚲 Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing