At a Glance
- Tasks: Build and maintain robust data infrastructure for high-value investment strategies.
- Company: Join a leading investment management firm known for innovation.
- Benefits: Competitive salary, benefits, and a dynamic work environment.
- Other info: Onsite role in Central London with excellent career growth opportunities.
- Why this job: Make a real impact in the financial sector with your data skills.
- Qualifications: Strong SQL and Python skills, plus API development experience.
The predicted salary is between 42000 - 58000 £ per year.
Location: London (Hybrid - 4 days on-site)
The Role
We are seeking a mid-level Data Engineer to join a small, high-impact technology team. This role is suited to a self-starter who enjoys autonomy, takes full ownership of their work, and is comfortable operating close to the business in a regulated financial context.
You will design, build, and maintain robust batch data pipelines, transforming data from diverse sources into a consistent, well-modelled SQL-based warehouse. Your work will directly support investment analysis, risk management, accounting, and external reporting.
This is a hands‑on role with real responsibility from day one, offering the opportunity to own projects end-to-end and contribute meaningfully to the firm’s data foundation.
Key Responsibilities
- Build, own, and maintain reliable batch data ingestion pipelines from a wide range of internal and external data sources
- Design, implement, and extend transformation workflows using SQL, dbt, and Python
- Develop clean, consistent, and well‑documented data models to support investment, risk, accounting, and reporting use cases
- Implement data quality, validation, reconciliation, monitoring, and alerting processes to ensure trust and auditability
- Support the production of critical reports used internally and externally, including investor and regulatory reportingWork closely with investment, risk, and finance stakeholders to clarify requirements and translate business needs into robust data solutions
- Respond to ad‑hoc data requests with speed, accuracy, and strong business context
- Take full ownership of deliverables across the full lifecycle: design, build, test, deploy, and maintain
Tech Stack
SQL Server, dbt, Python, Docker, Power BI, private cloud infrastructure (public cloud experience beneficial)
Required Skills & Experience
- 4+ years’ experience in a data engineering, software engineering, or similar technical role
- Experience working in financial services
- Strong hands‑on SQL experience (SQL Server preferred) and experience using dbt
- Solid Python skills for data pipelines, tooling, and automation
- Proven experience designing and maintaining production‑grade data models and pipelines
- Practical understanding of data quality, observability, reconciliation, and audit controls
- Track record of owning work end‑to‑end with minimal supervision
- Exposure to investment, risk, accounting, or reporting workflows within asset management or finance (preferred)
How You Work
- Self‑motivated and comfortable operating with a high degree of autonomy
- Curious and analytical, with a willingness to dig into messy, real‑world data
- Detail‑oriented where controls and accuracy matter, but pragmatic and delivery‑focused
- Confident communicator, able to work effectively with non‑technical but quantitative stakeholders
What We Offer
- Competitive salary of £70,000 – £95,000 depending on experience
- Medical insurance
- High‑ownership role within a small, collaborative team
- Direct exposure to investment, risk, and finance stakeholders
- Opportunity to shape and own core data infrastructure in a growing business
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Data Engineer in London employer: Oscar
Oscar is an exceptional employer, offering a dynamic work environment in Surrey where innovation meets collaboration. With a strong focus on employee growth, you will have access to professional development opportunities and a generous benefits package, including 25 days of leave and a pension scheme, all while enjoying the flexibility of a hybrid working model.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Oscar. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Oscar.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Oscar's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Oscar
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Oscar.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Oscar will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Oscar employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
