At a Glance
- Tasks: Lead the migration of a legacy data warehouse to a modern Azure and Databricks platform.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive daily rate, flexible work location, and impactful projects.
- Other info: Opportunity for quick interviews and immediate start.
- Why this job: Shape a cutting-edge cloud-based data environment and tackle complex data challenges.
- Qualifications: Proven experience in data engineering, strong SQL skills, and hands-on Azure expertise.
Rate: £600 per day (outside IR35)
Length: 6 months initially
Location: 2-3 days per week in Liverpool
Start date: ASAP
About the Role
We’re looking for a Senior Data Engineer to play a key role in modernising a legacy Business Objects data warehouse, migrating to a modern Azure and Databricks platform. This is an opportunity to take ownership across discovery, build and deployment, helping shape a new cloud-based data environment with real impact across the business. If you enjoy solving complex data challenges, designing robust pipelines and working closely with stakeholders to deliver scalable solutions, this role offers the autonomy and visibility to do just that.
Key Responsibilities
- Lead discovery activities to understand the current Business Objects data warehouse, dependencies, data flows and reporting needs
- Design and build modern data pipelines and data models on Azure and Databricks to support analytics and downstream consumption
- Migrate and re-platform data from legacy systems into the new cloud environment, ensuring accuracy, performance and reliability
- Collaborate with stakeholders to capture requirements and translate them into practical, scalable engineering solutions
- Drive best practice across data engineering, including quality, monitoring, performance optimisation and deployment processes
- Support deployment activities, release planning and operational readiness as the new platform goes live
Person Requirements
- Proven experience as a Senior Data Engineer delivering data warehouse modernisation or migration projects
- Strong SQL expertise (advanced querying, optimisation, data modelling concepts)
- Hands-on experience with Databricks and Azure data services in a production environment
- Experience building end-to-end solutions: discovery, design, build, test and deploy
- Strong communication skills and the ability to work effectively across technical and non-technical teams
- A pragmatic approach to problem-solving with a focus on delivering reliable, maintainable solutions
Next steps:
If you’re a Senior Data Engineer ready to lead a move to Databricks on Azure and want a role where your work will shape a modern data platform, we’d like to hear from you. Shortlisting will take place on the 7th, 8th and 9th April with a quick turnaround expected for interviews and start.
Senior Data Engineer in Manchester employer: MRJ Recruitment
Join a forward-thinking company in Liverpool as a Senior Data Engineer, where you'll have the opportunity to lead the transformation of a legacy data warehouse into a cutting-edge Azure and Databricks platform. With a strong emphasis on employee growth, collaborative work culture, and the chance to make a tangible impact, this role offers not just competitive pay but also the autonomy to innovate and drive best practices in data engineering. Experience a supportive environment that values your expertise and encourages professional development while working on exciting projects.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies using Azure and Databricks. A personal referral can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving data warehouse modernisation or migration. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling concepts. Be ready to discuss your hands-on experience with Databricks and Azure, as well as how you've tackled complex data challenges in the past.
✨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 in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data warehouse modernisation and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL expertise and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Data Engineer role. Share specific examples of how you've tackled complex data challenges and collaborated with stakeholders in the past.
Showcase Your Problem-Solving Skills:In your application, highlight your pragmatic approach to problem-solving. We love candidates who can deliver reliable and maintainable solutions, so share instances where you've done just that in previous roles.
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 regarding the role. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at MRJ Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data engineering. Be ready to discuss specific projects where you modernised data warehouses or migrated systems. Highlight your SQL expertise and any hands-on experience with Databricks and Azure, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples that demonstrate your pragmatic approach to problem-solving. Think of complex data challenges you've faced and how you tackled them. This will show the interviewers that you can deliver reliable and maintainable solutions in a real-world setting.
✨Communicate Effectively
Since the role involves collaboration with both technical and non-technical teams, practice explaining your technical concepts in simple terms. Being able to bridge the gap between different stakeholders will be key, so think of ways to showcase your strong communication skills during the interview.
✨Understand the Business Impact
Research the company and understand how modernising their data platform will impact their business. Be prepared to discuss how your work as a Senior Data Engineer can drive value and improve decision-making processes. This shows that you’re not just technically skilled but also aligned with their business goals.
