At a Glance
- Tasks: Design and build cutting-edge data platforms using Databricks and lead impactful projects.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Fully remote role with travel opportunities, competitive salary, and career growth.
- Other info: Dynamic environment with opportunities to mentor and shape regional growth.
- Why this job: Make a real impact in the data engineering field while working with top-tier technologies.
- Qualifications: 5+ years in Data Engineering with strong Databricks and cloud experience.
The predicted salary is between 70000 - 90000 £ per year.
Are you a seasoned Data Engineer ready to take on high-impact, fast-paced projects? We’re looking for a Senior / Principal Data Engineer with deep Databricks expertise to drive complex data initiatives across industries.
What you’ll be doing:
- You’ll play a key role delivering cutting-edge data solutions, either independently or leading small teams on UK projects that move fast (typically 2–4 months).
- Design and build modern data platforms using Databricks (Spark, Delta Lake, Unity Catalog).
- Develop scalable ETL/ELT pipelines on AWS/Azure.
- Own or co-own client relationships and shape outcomes.
- Lead data lakehouse implementations and cloud migrations.
- Mentor engineers, support pre-sales, and contribute to growing a top-tier data team.
What you bring:
- 5+ years in Data Engineering (cloud-first: AWS/Azure/GCP).
- Strong hands-on Databricks experience (PySpark, SQL).
- Expertise in orchestration tools (Workflows, DLT, Airflow, ADF, Glue, Step Functions).
- Solid Python + SQL skills.
- Experience with CI/CD and IaC (Terraform, Bicep, CloudFormation).
- Exposure to BI tools (Power BI, Tableau, Looker).
- A consulting mindset with strong stakeholder communication skills.
Why join?
- Fully remote UK role (with some travel to clients and team hubs).
- Opportunity to shape regional growth and make a real impact.
- Work on high-value, modern data projects.
Senior Data Engineer employer: Primus Connect
Join a forward-thinking company that values innovation and collaboration, offering a fully remote role for a Senior Data Engineer. With a strong emphasis on employee growth, you will have the opportunity to lead impactful projects while mentoring fellow engineers in a supportive work culture. Enjoy the flexibility of remote work combined with the chance to travel and engage with clients, making your contributions truly meaningful.
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, especially those who work with Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Databricks and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss your experience with ETL/ELT pipelines and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your Databricks expertise and relevant experience in data engineering. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your skills.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your hands-on experience with Databricks, AWS/Azure, and any orchestration tools you’ve used. We love seeing concrete examples of your work!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at Primus Connect
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with Spark, Delta Lake, and Unity Catalog. Prepare to share specific examples of how you've designed and built data platforms using these tools.
✨Showcase Your ETL/ELT Pipeline Skills
Since you'll be developing scalable ETL/ELT pipelines, come prepared to talk about your experience with AWS or Azure. Highlight any projects where you've successfully implemented these pipelines and the impact they had on the business.
✨Demonstrate Your Leadership and Mentoring Abilities
As a Senior Data Engineer, you'll likely lead small teams. Be ready to discuss your leadership style and provide examples of how you've mentored other engineers. This will show that you can not only deliver results but also help grow the team.
✨Communicate Like a Pro
Strong stakeholder communication skills are key for this role. Practice articulating complex technical concepts in a way that's easy to understand. Think about times when you've successfully managed client relationships and be ready to share those stories.
