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- Tasks: Enhance data solutions and solve real-world data challenges for clients.
- Company: Join Hippo, a forward-thinking tech company focused on data excellence.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Other info: Be part of a dynamic team with a focus on innovation and client success.
- Why this job: Make a real impact by optimising data platforms and mentoring future engineers.
- Qualifications: Experience with Azure, SQL, and a passion for data engineering.
The predicted salary is between 60000 - 72000 £ per year.
Hippo is looking for a talented and proactive Senior Azure Data Engineer to join our growing Managed Services team. In this client-facing role, you’ll work across a variety of data platforms and cloud-based solutions to ensure our clients’ data environments are robust, scalable, and high performing. You will be a trusted technical expert, solving real world data challenges, enhancing platform reliability, and helping clients get real value from their data. As a Senior Azure Data Engineer at Hippo, you'll be a key contributor within a multi-disciplinary team, working on digital solutions that deliver real value to users. You’ll collaborate with internal teams and clients to provide technical leadership and hands-on engineering, guiding platform development and operational excellence.
Please note, we are looking for candidates who are looking for growth at this level (Senior), therefore the advertised salary band is the lower end of our full banding for this level of position, allowing for progression in the role. There is an on-call requirement as part of our Managed Services Team. All applicants must be willing to be part of the rota.
Key Responsibilities- Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.
- Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments.
- Design and implement robust CI/CD practices for data workflows and deployments.
- Lead on performance tuning, data optimisation, and platform reliability improvements.
- Collaborate with internal and external stakeholders to gather requirements, deliver updates, and translate complex data issues into clear actions.
- Maintain strong client relationships with a focus on reliability, trust, and value delivery.
- Share best practices and mentor junior data engineers within the team.
Senior Azure Data Engineer - Managed Services employer: Hippo Digital
Contact Detail:
Hippo Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer - Managed Services
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Azure Data Engineer role.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a personal project or contributing to open-source projects that showcase your expertise in Azure and data engineering. This hands-on experience can really impress potential employers.
✨Tip Number 3
Prepare for those interviews by practising common technical questions and scenarios related to Azure and data pipelines. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 Azure Data Engineer - Managed Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Azure Data Engineer role. Highlight your experience with Microsoft Fabric, SQL, and Azure Data Factory, as these are key to what we’re looking for. Don’t just list your skills; show us how you’ve used them to solve real-world data challenges.
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 bring value to our Managed Services team. Be sure to mention any relevant projects or experiences that demonstrate your technical leadership and problem-solving skills.
Showcase Your Problem-Solving Skills: In your application, don’t shy away from sharing specific examples of how you’ve tackled data pipeline issues or improved platform reliability in the past. We love seeing candidates who can think critically and provide tangible solutions to complex problems.
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 keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Hippo Digital
✨Know Your Tech Inside Out
As a Senior Azure Data Engineer, you’ll need to be well-versed in Microsoft Fabric, SQL, Azure Data Factory, and SSIS. Brush up on these technologies before your interview. Be ready to discuss specific projects where you've used these tools and how you tackled challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've monitored, troubleshot, and resolved data pipeline issues in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your proactive approach to problem-solving.
✨Emphasise Collaboration and Communication
Since this role involves working closely with clients and internal teams, be prepared to discuss how you gather requirements and translate complex data issues into actionable steps. Share experiences where your communication skills made a difference in project outcomes.
✨Demonstrate Your Leadership Qualities
As a senior member of the team, you'll be expected to mentor junior engineers and lead initiatives. Think of instances where you've taken the lead on projects or shared best practices. Highlight your ability to foster a collaborative environment and drive operational excellence.