At a Glance
- Tasks: Design and build scalable data solutions while mentoring teams and driving best practices.
- Company: Dynamic tech company in London with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Other info: Hands-on leadership role with excellent career advancement potential.
- Why this job: Join a leading role in shaping innovative data engineering practices and making an impact.
- Qualifications: 6–10+ years in Data Engineering with strong SQL and Databricks expertise.
The predicted salary is between 84000 - 84000 € per year.
I’m currently working with a client who is looking to hire a Senior Data Engineer to play a key role in the technical design and delivery of a modern enterprise data platform. This is a hands-on technical leadership role suited to someone who enjoys building scalable data solutions while also setting engineering standards, mentoring teams, and driving best practices across the platform.
What You’ll Be Doing:
- Design and build scalable ingestion, transformation, and serving pipelines
- Develop data models aligned to business domains across a Lakehouse environment
- Work across medallion architecture patterns including Bronze, Silver & Gold layers
- Implement SCD Type 2 and advanced data modelling techniques
- Build production-grade solutions using Databricks, Delta Live Tables, Delta Lake & Unity Catalog
- Drive data quality, testing, governance, and platform reliability
- Lead code reviews, engineering standards, and technical mentorship within the squad
- Optimise platform performance, scalability, and cost efficiency
Key Skills & Experience:
- 6–10+ years in Data Engineering with technical leadership exposure
- Strong SQL and large-scale ETL/ELT pipeline development experience
- Deep hands-on Databricks expertise (Autoloader, DLT, Delta Lake, Unity Catalog)
- Strong experience with Lakehouse and Medallion Architecture patterns
- Solid understanding of dimensional modelling, SCD handling, and canonical data models
- Experience working with governed or regulated data environments
- Strong stakeholder communication and mentoring capability
This role would suit someone who enjoys being both hands-on technically and influential in shaping engineering standards, architecture, and delivery practices across a growing data function. If you’d be interested in hearing more, feel free to reach out directly.
Senior Data Engineer employer: e-Frontiers
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Engineer in London, you'll have the opportunity to lead technical design and delivery of cutting-edge data solutions. With a hybrid work model, competitive rates, and a culture that prioritises mentorship and professional growth, you will thrive in an environment that encourages best practices and continuous learning. This role not only allows you to make a significant impact on the data platform but also offers a supportive community that champions your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 best projects, especially those involving Databricks and scalable data solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts like medallion architecture and SCD Type 2. Be ready to discuss how you've implemented these in past roles, as this will demonstrate your hands-on experience.
✨Tip Number 4
Don't forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with Databricks and any leadership roles you've had in data engineering. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your experience aligns with our needs. Don’t forget to mention your approach to mentoring and setting engineering standards.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving scalable data solutions and medallion architecture patterns.
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 you’re keen on joining our team!
How to prepare for a job interview at e-Frontiers
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, especially Databricks and Delta Lake. Brush up on your SQL skills and be ready to discuss your experience with ETL/ELT pipelines and data modelling techniques.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've mentored teams or set engineering standards in previous positions. Be ready to discuss how you’ve driven best practices and improved platform reliability.
✨Understand the Business Context
Familiarise yourself with the business domains relevant to the role. Think about how your data solutions can align with business needs and be prepared to discuss how you’ve done this in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think through challenges you’ve faced in building scalable data solutions and how you optimised performance and cost efficiency in your previous roles.
