Senior Azure Data Engineer

Senior Azure Data Engineer

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join our Managed Services team as a Senior Azure Data Engineer, tackling real-world data challenges.
  • Company: Hippo is a digital services partner focused on empathy-driven design and impactful solutions.
  • Benefits: Enjoy 25 days holiday, flexible benefits, and a contributory pension scheme.
  • Why this job: Be part of a diverse team that values innovation and continuous improvement in a supportive environment.
  • Qualifications: Proven experience with Azure Data Factory, SQL, and data pipeline management required.
  • Other info: Remote work options available; relocation support up to £8k for candidates across the UK.

The predicted salary is between 43200 - 72000 £ per year.

About The Role

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.

Requirements of the Role

  • 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.
  • Champion continuous improvement in development practices, testing, and deployment.

Skills and experience that you need

  • 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.
  • Hands-on experience with Azure Data Factory, including pipeline orchestration, linked services, and parameterisation.
  • 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.
  • Experience in a range of architecture approaches and building scalable, resilient systems.
  • Expertise in designing and implementing CI/CD pipelines using tools such as Azure DevOps
  • Proven ability to work within Agile methodologies (Scrum, Kanban) and a Test-Driven Development (TDD) environment.
  • Strong communication skills, capable of engaging both technical and non-technical stakeholders.
  • Experience in managing multiple client environments, ensuring stability, scalability, and performance optimisation.

Desirable Skills

  • Understanding of data governance, data quality, and metadata management practices.
  • 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.
  • Experience with scripting or programming languages such as Python for automation or data transformation.
  • Exposure to IT Service Management (ITSM) tools like HaloPSA, ServiceNow, or similar.
  • Experience working in a consultancy environment or supporting multiple concurrent client engagements.
  • Knowledge of monitoring and alerting tools like Azure Monitor and Log Analytics.

What makes us great

As well as a competitive salary which we\’re transparent about from the outset, you can also expect a range of benefits:

  • Contributory pension scheme (Hippo 6% with employee contributions of 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. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.

Hi, we\’re Hippo.

At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We\’re a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes.

We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world.

Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. We\’re confident in our abilities, authentic in our approach, and passionate about what we do. If you\’re looking for a digital services partner that can deliver real results, let us help you build for the future and make a lasting impact.

Hippo locations

We are headquartered in Leeds and located across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We\’re on the lookout for top talent nationwide, so don\’t let location hold you back from applying. We welcome candidates from all over the UK who possess the flexibility to work from any of our locations. Plus, we offer a generous relocation support package of up to £8k to help make your move a smooth one. It\’s worth noting that, given the dynamic nature of our business, you may be required to work on-site at client locations or from your own home. #J-18808-Ljbffr

Senior Azure Data Engineer employer: Hippo Digital Limited

Hippo is an exceptional employer that prioritises employee growth and development, offering a transparent salary structure with opportunities for progression within the Senior Azure Data Engineer role. Our inclusive work culture fosters collaboration and innovation, while our comprehensive benefits package, including a contributory pension scheme, flexible working options, and wellness initiatives, ensures that our team members feel valued and supported. With locations across the UK and generous relocation support, we welcome talent from all backgrounds to join us in making a meaningful impact through data-driven solutions.
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Contact Detail:

Hippo Digital Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Azure Data Engineer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Azure Data Factory and Microsoft Fabric. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your suitability for the role.

✨Tip Number 2

Showcase your ability to work collaboratively by preparing examples of past projects where you successfully engaged with both technical and non-technical stakeholders. This will highlight your communication skills, which are crucial for this client-facing position.

✨Tip Number 3

Research Hippo's approach to data solutions and their commitment to diversity and inclusion. Being able to align your values with theirs can make a strong impression during interviews and show that you're a good cultural fit.

✨Tip Number 4

Prepare to discuss your experience with CI/CD practices and Agile methodologies. Highlighting your familiarity with these processes will demonstrate your readiness to contribute to the team's operational excellence from day one.

We think you need these skills to ace Senior Azure Data Engineer

Proven experience as a Data Engineer
Strong knowledge of T-SQL and SQL Server
Performance tuning and query optimisation
Hands-on experience with Azure Data Factory
Pipeline orchestration and linked services management
Experience with Microsoft Fabric
SSIS for ETL processes
Architecture approaches for scalable systems
Designing and implementing CI/CD pipelines
Agile methodologies (Scrum, Kanban)
Test-Driven Development (TDD)
Strong communication skills
Managing multiple client environments
Understanding of data governance and quality practices
Experience with Infrastructure as Code (Bicep, Terraform)
Familiarity with Power BI and Synapse Analytics
Scripting or programming languages (e.g., Python)
Exposure to IT Service Management tools
Knowledge of monitoring and alerting tools

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer, particularly with Azure Data Factory, SQL, and performance tuning. Use keywords from the job description to demonstrate your fit for the role.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities outlined in the job description, showcasing your problem-solving skills and technical expertise.

Showcase Your Technical Skills: Clearly outline your technical skills related to the role, such as experience with CI/CD practices, data optimisation, and Azure services. Provide examples of how you've successfully implemented these skills in previous roles.

Highlight Soft Skills: Don't forget to mention your communication and collaboration skills. Since this is a client-facing role, emphasise your ability to engage with both technical and non-technical stakeholders effectively.

How to prepare for a job interview at Hippo Digital Limited

✨Showcase Your Technical Expertise

Be prepared to discuss your hands-on experience with Azure Data Factory, SQL Server, and Microsoft Fabric. Highlight specific projects where you've implemented data solutions or optimised performance, as this will demonstrate your capability to handle the technical demands of the role.

✨Communicate Clearly with Stakeholders

Since this role involves collaboration with both technical and non-technical stakeholders, practice explaining complex data issues in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.

✨Emphasise Continuous Improvement

Discuss your approach to continuous improvement in development practices. Share examples of how you've championed best practices in CI/CD pipelines or mentoring junior engineers, as this aligns with the company's focus on operational excellence.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think of real-world data challenges you've faced and how you resolved them, particularly in client-facing situations, to illustrate your proactive approach and technical leadership.

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