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- Tasks: Own the full data lifecycle and build scalable pipelines for innovative data products.
- Company: Join a dynamic analytics organisation with a start-up vibe.
- Benefits: Competitive salary, hybrid work, private medical cover, and personal development budget.
- Why this job: Shape the future of data platforms with real ownership and autonomy.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills.
- Other info: Collaborative team environment with clear growth opportunities.
The predicted salary is between 80000 - 100000 £ per year.
Our client is looking for a Senior Data Engineer to join a brand new engineering team, that is building a new data-driven analytics platform as part of a major growth initiative. This role is to shape the future of how their data products are developed, with full ownership and influence from day one. You’ll join a small, high-calibre team focused on delivering a scalable, market-leading solution within an accelerated timeline.
Working at the intersection of innovation and scale, our client offers the autonomy of a start-up environment backed by the stability of a global analytics organisation. As a Senior Data Engineer, you will have the freedom to make key architectural decisions, work with modern tools, and directly influence how future data platforms are designed. The Senior Data Engineer will operate in a highly collaborative, fast-moving team where your expertise will shape both product and technical direction.
Role Highlights – core tasks & impact
- Own full data lifecycle from ingestion to API delivery
- Build scalable pipelines across multiple complex data sources
- Working with new / greenfield Data products
- Implement robust data quality, validation, and monitoring systems
- Collaborate closely with product and engineering teams
You Will Need – key skills/experience
- 5+ years in data engineering within data-heavy environments
- Strong Python and SQL expertise with modern data platforms
- Experience designing data architectures for APIs or web products
- Proven ability to manage complex, multi-source data pipelines
- Confidence making independent architectural decisions
Why You’ll Love It – top benefits
- £90,000 – £100,000 base + performance bonus
- Hybrid working with flexibility built into your week
- Greenfield project with real ownership and autonomy
- Private medical cover and strong pension contribution
- Personal development budget and clear growth opportunities
If you’re interested and have the right type of Data Engineering experience please apply ASAP with a copy of your CV.
Senior Data Engineer in City of London employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you can contribute to their new data-driven analytics platform.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with complex data pipelines and architectural decisions, as these are key to landing that Senior Data Engineer role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in Python, SQL, and any relevant data architecture projects you've worked on. We want to see how you can bring value to our new engineering team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our goals. We love seeing passion and personality, so don’t hold back!
Showcase Your Projects: If you've worked on any greenfield projects or built scalable data pipelines, make sure to mention them. We’re keen to see examples of your work that demonstrate your ability to manage complex data environments and make architectural decisions.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Don’t miss out on this opportunity to join our innovative team!
How to prepare for a job interview at NearTech Search
✨Know Your Data Inside Out
As a Senior Data Engineer, you’ll need to demonstrate your expertise in data engineering. Brush up on your knowledge of data lifecycles, complex data pipelines, and the tools you’ve used. Be ready to discuss specific projects where you’ve made architectural decisions or implemented robust data quality systems.
✨Showcase Your Collaboration Skills
This role involves working closely with product and engineering teams. Prepare examples of how you’ve successfully collaborated in the past. Highlight instances where your teamwork led to innovative solutions or improved processes, as this will show you can thrive in a fast-moving environment.
✨Prepare for Technical Questions
Expect technical questions that test your Python and SQL skills. Review common data engineering challenges and be ready to solve problems on the spot. Practising coding challenges or discussing your thought process on designing data architectures can help you feel more confident.
✨Demonstrate Your Passion for Innovation
Since this position is about shaping new data products, express your enthusiasm for innovation. Share your thoughts on emerging trends in data engineering and how you’ve applied new technologies in your previous roles. This will show that you’re not just experienced but also forward-thinking.