At a Glance
- Tasks: Design and optimise scalable data solutions using Databricks and AWS.
- Company: Join a forward-thinking tech company with a focus on innovation.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Other info: Autonomous role with excellent career advancement potential.
- Why this job: Make an impact by solving complex data challenges in a cloud-first environment.
- Qualifications: Experience as a Data Engineer with strong skills in Databricks, SQL, and Python.
The predicted salary is between 75000 - 75000 € per year.
Location: 100% Remote (UK-based)
Employment Type: Permanent
Salary: Up to £75,000
Positions Available: 2
The Opportunity
We are looking for experienced Senior Data Engineers to play a key role in the evolution of a modern enterprise data platform built on Databricks and AWS. This is an opportunity for highly autonomous engineers who enjoy ownership, solving complex data challenges, and contributing to scalable, high-quality data solutions in a cloud-first environment. You'll work across the full data engineering lifecycle, helping to design, build, optimise, and govern data products within a Databricks Lakehouse architecture.
Key Responsibilities
- Design, develop, and optimise scalable ETL/ELT pipelines using Databricks, Python, SQL, and Delta Live Tables (DLT).
- Build and maintain performant Delta Lake solutions, including partitioning and optimisation strategies.
- Contribute to Lakehouse architecture design and scalable ingestion frameworks.
- Develop governed, reusable, and maintainable data products.
- Implement data quality, observability, monitoring, and automated testing frameworks.
- Ensure alignment with governance, lineage, and security standards using Unity Catalog.
- Optimise Databricks cluster usage, orchestration, and cloud cost efficiency.
- Work collaboratively with architects, analysts, and stakeholders to translate business requirements into technical solutions.
- Mentor and support other engineers while contributing to engineering best practices and standards.
- Drive continuous improvement and innovation across the data platform.
Essential Skills & Experience
- Strong commercial experience as a Data Engineer or Senior Data Engineer.
- Deep hands-on expertise with Databricks on AWS (essential).
- Strong understanding of Spark, Delta Lake, and Lakehouse architectures.
- Proven experience designing scalable and maintainable modern data platforms.
- Strong knowledge of the end-to-end data engineering lifecycle.
- Experience with AWS cloud services in data engineering environments.
- Experience with Data Asset Bundles is highly desirable.
- Strong SQL and Python development skills.
- Understanding of data governance, metadata management, and quality frameworks.
- Ability to work autonomously and thrive in a self-directed environment.
- Strong communication and stakeholder management skills.
Ideal Candidate
- A self-starter who enjoys autonomy and ownership.
- Comfortable operating in fast-moving engineering environments.
- Passionate about engineering quality, scalability, and continuous improvement.
- Confident influencing technical direction and best practice adoption.
- Delivery-focused with a pragmatic approach to solving problems.
Senior Data Engineer employer: True North Group
Join a forward-thinking company that champions innovation and autonomy, offering Senior Data Engineers the chance to work remotely from anywhere in the UK. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to mentor others while contributing to cutting-edge data solutions. Our collaborative work culture fosters creativity and encourages you to take ownership of your projects, making it an ideal environment for those seeking meaningful and rewarding employment.
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, attend meetups, and engage in online communities. 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 showcasing your projects, especially those involving Databricks and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common data engineering scenarios and be ready to discuss how you've tackled complex challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with Databricks and AWS, and let us know why you're excited about this opportunity.
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 experiences that match the Senior Data Engineer role. Highlight your hands-on expertise with Databricks, AWS, and any relevant projects you've worked on. We want to see how you can contribute to our data platform!
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 love for autonomy and problem-solving – we value those traits!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building ETL pipelines or optimising data solutions, we want to see your practical experience and how you tackle complex challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining the StudySmarter team!
How to prepare for a job interview at True North Group
✨Know Your Tech Inside Out
Make sure you brush up on your Databricks, AWS, and Python skills. Be ready to discuss specific projects where you've designed scalable ETL/ELT pipelines or optimised Delta Lake solutions. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex data challenges you've faced and how you tackled them. Companies love candidates who can demonstrate a pragmatic approach to problem-solving, so think of scenarios where you made a significant impact.
✨Understand the Business Side
Familiarise yourself with how data engineering aligns with business goals. Be prepared to discuss how you've translated business requirements into technical solutions in the past. This shows that you can bridge the gap between tech and business needs.
✨Be Ready to Mentor
Since mentoring is part of the role, think about your experiences in guiding others. Share examples of how you've contributed to best practices or supported junior engineers. This will highlight your leadership potential and collaborative spirit.
