At a Glance
- Tasks: Lead the design and delivery of scalable data platforms using Python, AWS, and Spark.
- Company: Join a major financial services organisation transforming its data platform.
- Benefits: Competitive pay of £800 per day, hybrid work model, and potential for contract extension.
- Other info: Mentor engineers and engage with senior stakeholders in a dynamic environment.
- Why this job: Shape a modern data ecosystem and make a real impact in finance.
- Qualifications: Strong experience with Spark, Kafka, AWS, and data engineering best practices.
The predicted salary is between 63000 - 77000 £ per year.
Location: 3 days onsite in Canary Wharf, London
We are seeking Senior Data Engineers to join a large financial services organisation undergoing a major data platform transformation. This role sits at the intersection of architecture, engineering leadership, and hands-on development, shaping a modern, cloud-native data ecosystem. You will lead the design and delivery of highly scalable, real-time and batch data platforms built on Python, AWS and Spark, working closely with architecture, trading, risk, and analytics teams.
Key Responsibilities
- Own the design and evolution of the enterprise data platform
- Define best practices, engineering standards, and data governance patterns
- Provide technical leadership to multiple data engineering squads
- Drive adoption of event-driven and streaming architectures
- Design and build high-throughput, low-latency data pipelines
- Implement robust real-time streaming solutions using Kafka
- Develop and maintain scalable Python-based data services
- Architect secure and resilient AWS cloud data infrastructure
- Ensure solutions meet regulatory, security and audit requirements
Stakeholder Engagement
- Partner with senior stakeholders across Risk, Trading, Compliance and Data Science
- Translate complex business requirements into scalable technical solutions
- Mentor senior and mid-level engineers across the programme
Required Skills & Experience
- Core Technical
- Strong Spark
- Deep experience building streaming platforms using Apache Kafka
- Strong hands-on experience with AWS, including: S3, Lambda, ECS/EKS IAM, networking and security best practices
- Experience building real-time and batch ETL/ELT pipelines
- Strong experience with data modelling and distributed systems
- Strong understanding of event-driven and microservices architectures
- Experience working in regulated financial services environments
- Experience with data mesh / data lakehouse architectures
- Knowledge of CI/CD and DevOps tooling (Terraform, Docker, Kubernetes)
- Experience with data governance and lineage tooling
- Exposure to market, risk, or trading data environments
Working Pattern
Hybrid: 3 days onsite in Canary Wharf, 2 days remote £800 per day inside IR35 12-month contract with strong likelihood of extension
Senior Data Engineers in London employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an excellent employer that fosters innovation and collaboration in the tech space. Our hybrid work model allows for flexibility while still providing opportunities for meaningful face-to-face interactions in our London office. We are committed to employee growth, offering continuous learning opportunities and a supportive work culture that values creativity and teamwork, making us an ideal place for passionate Full Stack Engineers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineers in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Oliver Bernard before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Oliver Bernard.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Oliver Bernard.
We think you need these skills to ace Senior Data Engineers in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Oliver Bernard, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Oliver Bernard, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Oliver Bernard’s attention and show the tangible impact of your work.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Oliver Bernard.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Oliver Bernard.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Oliver Bernard.
