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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 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 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 data pipelines and architectures. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, SQL, and data architectures, as these are key to landing that Senior Data Engineer role.
✨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 an edge over other candidates.
We think you need these skills to ace Senior Data Engineer in 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 architectures you've designed. 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 opportunity and how your background aligns with our goals. We love seeing passion and personality, so let us know what drives you in the world of data engineering.
Showcase Your Projects: If you've worked on any interesting data projects, make sure to mention them! Whether it's building scalable pipelines or implementing data quality systems, we want to hear about your hands-on experience and how it relates to the role.
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 you'll be one step closer to joining our innovative team. Don’t forget to double-check everything before hitting send!
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 architectures, pipelines, and the specific tools mentioned in the job description. Be ready to discuss your past projects and how you’ve tackled complex data challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've designed scalable solutions or improved existing data processes. Think about specific scenarios where you made independent architectural decisions and how those choices impacted the project positively.
✨Collaborate Like a Pro
This role emphasises teamwork, so be prepared to talk about your experience working closely with product and engineering teams. Highlight instances where your collaboration led to successful outcomes, and show that you value input from others while also being confident in your own ideas.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the new data-driven analytics platform and the team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.