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For Companies At a Glance
- Tasks: Design and build a modern data platform using Azure Databricks.
- Company: Established tech organisation undergoing exciting growth and change.
- Benefits: Competitive contract pay, flexible work environment, and opportunities for continuous learning.
- Why this job: Join a greenfield project and shape the future of data architecture.
- Qualifications: Strong experience in data engineering and hands-on expertise with Azure Databricks.
- Other info: Fast-paced, collaborative team with a focus on innovation and improvement.
The predicted salary is between 36000 - 60000 £ per year.
An established technology organisation that is now going through significant change and growth is looking for a Senior Data Engineer to help design, build, and secure a modern data platform that supports business-critical systems in regulated environments. This is a really exciting greenfield project to establish a new data platform at speed.
The Role
You’ll take ownership of the end-to-end data platform, including pipelines, governance, and security. Working closely with engineers, analysts, and stakeholders, you’ll establish scalable, repeatable data practices and help shape the future data architecture.
Key Responsibilities
- Design and build end-to-end data pipelines, data lakes, and data warehouses using Azure Databricks
- Integrate ETL/ELT tools and cloud services for batch and real-time data processing
- Experience building data pipelines on-prem
- Define and implement standards for data modelling, orchestration, version control, and data quality (e.g. dbt, Airflow)
- Embed security best practices, including RBAC, encryption, masking, and regulatory compliance
- Collaborate with technical and non-technical stakeholders to define data requirements, SLAs, and governance frameworks
- Optimise data platform performance, scalability, and cost efficiency
- Automate monitoring, alerting, and recovery to ensure reliability and data integrity
- Drive adoption of DevOps practices for data, including CI/CD and infrastructure as code
About You
You’ll be someone who:
- Has a security-first mindset and strong understanding of responsible data handling
- Is comfortable working in ambiguous environments and owning delivery end to end
- Thrives in fast-paced, collaborative teams
- Is proactive about continuous improvement and learning new data technologies
- Communicates clearly and shares knowledge with others
Experience & Skills
- Strong experience as a Data Engineer working with modern data platforms
- Hands-on expertise with Azure Databricks
- Experience building data pipelines on-prem
- Proven background building and supporting production-grade data pipelines
- Solid understanding of data governance, security, and compliance
- Experience optimising distributed data systems for performance and cost
Seniority level Mid-Senior level
Employment type Contract
Job function Information Technology
Industries Software Development
Senior Data Engineer (Azure) in England employer: Orla Rose Associates
Contact Detail:
Orla Rose Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Azure) in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks and data pipelines. This gives potential employers a tangible look at 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 how you've tackled challenges in data governance and security. We want to see your problem-solving skills in action!
✨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 Data Engineer (Azure) in England
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 Azure Databricks and any relevant projects you've worked on that showcase your ability to design and build data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this exciting greenfield project. Share your passion for data engineering and how your proactive approach aligns with our goals at StudySmarter.
Showcase Your Collaboration Skills: Since you'll be working closely with both technical and non-technical stakeholders, make sure to highlight your communication skills. Give examples of how you've successfully collaborated in past roles to define data requirements and governance frameworks.
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 don’t miss out on any important updates about the hiring process!
How to prepare for a job interview at Orla Rose Associates
✨Know Your Azure Inside Out
Make sure you brush up on your Azure Databricks knowledge. Be ready to discuss how you've designed and built data pipelines in the past, and be prepared to share specific examples of your work with ETL/ELT tools. This will show that you’re not just familiar with the technology but have hands-on experience.
✨Showcase Your Security Mindset
Since this role emphasises a security-first approach, come prepared to talk about how you've implemented security best practices in your previous projects. Discuss your experience with RBAC, encryption, and compliance, and how these practices can be embedded into a data platform.
✨Collaboration is Key
This position requires working closely with both technical and non-technical stakeholders. Think of examples where you've successfully collaborated with different teams to define data requirements or governance frameworks. Highlight your communication skills and how you ensure everyone is on the same page.
✨Emphasise Continuous Improvement
Demonstrate your proactive attitude towards learning and improving data technologies. Share instances where you've driven adoption of DevOps practices or optimised data systems for performance and cost efficiency. This shows that you're not just about maintaining the status quo but are eager to innovate.
