At a Glance
- Tasks: Join our Managed Services Team as a Senior Azure Data Engineer and solve real-world data challenges.
- Company: Hippo, a rapidly growing digital consultancy passionate about transformative solutions.
- Benefits: Enjoy a competitive salary, 25 days holiday, and flexible benefits tailored to your needs.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact with cutting-edge technology while mentoring junior engineers.
- Qualifications: Proven experience in data engineering, T-SQL, and Azure technologies required.
The predicted salary is between 57500 - 66000 £ per year.
Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions. We are recruiting for a Senior Azure Data Engineer to join our Hippo Herd as part of our Managed Services Team. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value.
As a Senior Azure Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will 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. You will be a trusted technical expert, solving real-world data challenges and helping clients get real value from their data. You will act as a Senior Consultant to deliver Data Engineering services to our clients.
Your Role in a Nutshell:
- Demonstrate technical expertise within Hippo’s Managed Services and wider data communities to ensure user-centred, automated infrastructure is developed based on business requirements and best practices.
- 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 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.
- Champion continuous improvement in development practices, testing, and deployment.
Skills and experience that you need:
Essential Experience:
- Proven experience as a Data Engineer supporting production data pipelines and platforms.
- Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation.
- Experience with scripting languages such as Python for automation.
- Hands-on experience with Microsoft Fabric and Azure Data Factory, including pipeline orchestration, linked services, environment management, and parameterisation.
- Experience with SSIS for ETL processes and legacy data integration tasks.
- Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps.
- Experience with Infrastructure as Code (e.g., Bicep, Terraform, or ARM templates).
- Familiarity with Power BI, Synapse Analytics, or other components of the Microsoft data ecosystem.
- Proven ability to work within Agile methodologies (Scrum, Kanban) and Test-Driven Development (TDD) environments.
- Strong communication skills, capable of engaging both technical and non-technical stakeholders.
- Experience in managing multiple client environments, ensuring stability and performance optimisation.
Desirable Experience:
- Understanding of data governance, data quality, and metadata management practices.
- Exposure to IT Service Management (ITSM) tools like ServiceNow.
- Knowledge of monitoring tools like Azure Monitor and Log Analytics.
What makes us great:
Alongside working with some of the most talented people out there and on-top of a competitive salary, you can also expect a range of benefits:
- Contributory Pension Scheme (Hippo 6% & Employee 2%)
- 25 Days Holiday plus UK Public Holidays
- Perkbox access for a wide range of discounts
- Critical illness cover
- Life assurance and death in service cover
- Volunteer days
- Cycle-to-work scheme for the avid cyclists
- Salary sacrifice electric vehicles scheme
- Season ticket loans
- Financial and general wellbeing sessions
- Flexible benefits scheme with options of: Private health cover, Private dental cover, Additional company pension contributions, Additional holidays (up to an extra 2 days), Wellbeing contribution, Charity contributions, Tree planting
Diversity, Inclusion and Belonging at Hippo:
At Hippo, we’re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive.
We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture.
Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.
Hippo Locations:
We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week.
We offer a generous relocation support package of up to 8,000 (please ask for terms and conditions) to help make your move a smooth one.
Location: Various Locations
Advertising Salary: 57,500 - 66,000 + Benefits
Vacancy Type: Permanent
Division: Managed Services
Level: Senior Consultant
Senior Azure Data Engineer - Managed Services in Manchester employer: Hippo Digital
Hippo Digital is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. With a strong emphasis on employee growth, you will have access to flexible working arrangements and a contributory pension scheme, making it an ideal place for those seeking meaningful and rewarding employment in product management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer - Managed Services in Manchester
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We think you need these skills to ace Senior Azure Data Engineer - Managed Services in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hippo Digital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hippo Digital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hippo Digital!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.