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- Tasks: Develop and scale backend systems for high-throughput data ingestion.
- Company: High-growth Series A start-up with a focus on innovative data solutions.
- Benefits: Competitive salary up to £120K, bonus, and hybrid work model.
- Other info: Fast-paced environment with opportunities for professional growth.
- Why this job: Join a dynamic team transforming complex data into actionable insights.
- Qualifications: Strong Python skills and experience in scalable data pipelines.
The predicted salary is between 90000 - 120000 £ per year.
OB are currently working with a high-growth Series A company building a sophisticated data platform used to monitor and generate insights across a portfolio of real-world assets. Their product sits at the intersection of backend engineering, data infrastructure, and applied machine learning, turning complex, large-scale datasets into meaningful, actionable outputs.
What You’ll Be Doing
- Developing and scaling backend systems for high-throughput data ingestion
- Partner with ML teams to deploy data-led features into production
- Enhance system observability, scalability, and resilience
What They’re Looking For
- Strong Python experience in backend and data-centric environments
- Proven experience building scalable data pipelines and distributed systems
- Solid understanding of databases, APIs, and data modelling
- Experience working with cloud platforms (AWS, GCP, etc.)
- Familiarity with both OLTP and OLAP systems
- Comfortable operating in a fast-paced, product-driven environment
Tech Stack
- Python
- FastAPI
- PostgreSQL
- Kafka
- AWS
- Docker
- BigQuery / Snowflake
Senior BE/ Data Engineer - London - up to £140k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior BE/ Data Engineer - London - up to £140k
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend systems and data pipelines. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and data engineering concepts. Practice coding challenges and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Let’s get you that dream job!
We think you need these skills to ace Senior BE/ Data Engineer - London - up to £140k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, data pipelines, and cloud platforms. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool projects involving backend systems or data engineering, make sure to mention them! We’re keen to see how you’ve tackled challenges and what technologies you’ve used in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re really interested in joining our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on Python, FastAPI, PostgreSQL, and any cloud platforms like AWS or GCP. Being able to discuss your experience with these tools will show that you’re a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in backend engineering or data pipeline development. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your ability to tackle complex problems effectively.
✨Understand Their Product
Research the company’s data platform and how it generates insights from real-world assets. Being able to articulate how your skills can contribute to enhancing system observability and scalability will impress the interviewers and show your genuine interest in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the challenges they face, and their future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.