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- Tasks: Shape the future of data products and build scalable pipelines.
- Company: Join a dynamic team at a leading analytics platform company.
- Benefits: Competitive salary, performance bonus, hybrid work, and personal development budget.
- Why this job: Take ownership of innovative projects and influence data architecture from day one.
- Qualifications: 5+ years in data engineering with strong Python and SQL skills.
- Other info: Exciting greenfield project with excellent career 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. 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.
- 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
- 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
- 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 Engineer, Data Engineering in London employer: NearTech Search
Contact Detail:
NearTech Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering 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 the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and how you approach data challenges.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with building scalable pipelines and managing complex data sources. We want to see how you think and solve problems!
✨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 are proactive about their job search.
We think you need these skills to ace Senior Engineer, Data Engineering 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 architecture projects you've worked on. We want to see how you can shape our data products!
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 vision for the new data-driven analytics platform. Let us know how you can contribute from day one!
Showcase Your Projects: If you've worked on any greenfield projects or built scalable data pipelines, make sure to mention them! We love seeing real examples of your work, so don’t hold back on sharing your achievements and the impact they had.
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’re considered for the role. Plus, it shows us you’re keen to join our 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 architectures, pipelines, and the tools you’ve used. Be ready to discuss specific projects where you’ve built scalable solutions or managed complex data sources.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach building a data pipeline or ensuring data quality. Use examples from your past experience to illustrate your thought process and decision-making skills.
✨Emphasise Collaboration
This role is all about working in a fast-moving, collaborative environment. Be prepared to talk about how you’ve worked with cross-functional teams in the past. Highlight your communication skills and how you’ve influenced product direction through teamwork.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, the technologies they use, and the team dynamics. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.