At a Glance
- Tasks: Build and optimise data pipelines using Azure Synapse & Fabric.
- Company: Leading tech solutions provider in Manchester with an inclusive culture.
- Benefits: 25+ days' holiday, private health insurance, and flexible working arrangements.
- Other info: Commitment to continuous learning and development.
- Why this job: Join a dynamic team and contribute to cutting-edge data solutions.
- Qualifications: Experience in data engineering and mentoring junior engineers.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech solutions provider in Manchester seeks a Senior Data Engineer to build and optimise data pipelines and contribute to cutting-edge data solutions. The ideal candidate will support integration efforts, mentor junior engineers, and ensure adherence to best practices in data engineering.
Inclusive culture, fantastic benefits like 25+ days' holiday, private health insurance, and flexible working arrangements. Join a dynamic team committed to continuous learning and development.
Senior Data Engineer: Azure Synapse & Fabric Pipelines in Manchester employer: ANS Group
As a leading tech solutions provider in Manchester, we pride ourselves on fostering an inclusive culture that values continuous learning and development. Our employees enjoy fantastic benefits, including over 25 days' holiday, private health insurance, and flexible working arrangements, making us an excellent employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Azure Synapse & Fabric Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with Azure Synapse and Fabric Pipelines. We want to see how you’ve tackled real-world problems and optimised data solutions.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data engineering concepts and problem-solving skills. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior Data Engineer: Azure Synapse & Fabric Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure Synapse and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. Let us know what excites you about working with cutting-edge solutions.
Showcase Your Mentoring Skills:Since mentoring junior engineers is part of the gig, share any experiences you have in guiding others. We love seeing candidates who are not just tech-savvy but also supportive team players!
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 updates from our team!
How to prepare for a job interview at ANS Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Synapse and Fabric Pipelines. Brush up on your knowledge of data pipeline optimisation techniques and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior engineers, prepare examples of how you've supported others in their development. Think about times when you’ve shared knowledge or guided a team member through a challenging project.
✨Emphasise Best Practices
Be ready to talk about best practices in data engineering. Discuss how you ensure data quality, security, and compliance in your work. This shows that you not only know the tech but also understand the importance of maintaining high standards.
✨Cultural Fit Matters
Research the company’s culture and values. Be prepared to discuss how you align with their commitment to continuous learning and development. Share your own experiences of professional growth and how you can contribute to a dynamic team environment.
