At a Glance
- Tasks: Lead a talented team to modernise Unum's data ecosystem and drive innovation.
- Company: Join Unum, a specialist employee benefits provider focused on creating healthy workplaces.
- Benefits: Generous bonus, private medical insurance, flexible working, and 27 days holiday.
- Other info: Inclusive workplace with strong support for personal growth and development.
- Why this job: Shape the future of data engineering and analytics while making a real impact.
- Qualifications: Proven experience in building modern data platforms and leading engineering teams.
The predicted salary is between 75600 - 92400 £ per year.
Who are we? We’re a specialist employee benefits provider, striving to create healthy, happy workplaces. As part of the international Unum Group, we’re on a collective mission to help the working world thrive.
The role
What will you be doing?
- Lead, coach and inspire a team of Data Engineers, fostering a collaborative, innovative and high-performance culture.
- Define and implement modern engineering standards, ensuring excellence in coding practices, testing, observability, documentation and data quality.
- Design and deliver scalable cloud and hybrid data platforms, pipelines and tooling using automation-first engineering principles.
- Drive the modernisation of our data estate, reducing technical debt and leading migration from legacy technologies to strategic platforms.
- Own end-to-end delivery of data engineering initiatives, balancing quality, timelines, resources, risk management and vendor relationships.
- Partner with Architecture, Product, Governance, Data Science and Insights teams to deliver aligned, business-focused solutions.
- Champion secure, reliable and compliant engineering practices across all platforms and services.
- Communicate technical strategy, options, risks and progress effectively to senior leaders and non-technical stakeholders.
- Help shape the future direction of data engineering, analytics and AI capabilities across Unum.
What we're looking for
You'll bring a combination of technical expertise, strategic thinking and people leadership, alongside:
- Proven experience building modern data platforms and pipelines from the ground up.
- A strong track record of transforming legacy or on-premises environments into modern cloud or hybrid data architectures.
- Deep expertise across the Azure data ecosystem, including: Azure Data Lake Storage (ADLS), Azure Synapse Analytics / SQL, Databricks, Azure Data Factory (ADF) / Microsoft Fabric, Event Hub and Kafka, Azure Functions, Key Vault, Microsoft Purview.
- Strong knowledge of data platform engineering principles, including storage and compute patterns, batch and streaming architectures, orchestration, APIs, schema design, performance optimisation and reliability engineering.
- Experience leading engineering teams and developing technical capability.
- A strong understanding of data governance, privacy, lineage and data quality frameworks.
- Proven success in driving engineering excellence and technical debt remediation.
What you'll get in return
We offer a highly competitive reward package including:
- Generous annual bonus
- Car allowance
- Private Medical Insurance
- Defined Contribution pension scheme
- Life assurance, income protection and medical cover
- Access to a remote GP service, nutrition coaching, personal training, unlimited mental health support and medical second opinions
- 27 days holiday plus Bank Holidays, with the option to buy or sell up to 5 additional days
- Salary sacrifice electric vehicle scheme with free on-site charging
- Flexible and supportive working environment focused on wellbeing and development
Ready to make an impact? If you're excited by the prospect of modernising a complex data landscape, leading talented engineers, and building the platforms that will support the next generation of analytics and AI, we'd love to hear from you. Apply today and help shape the future of data at Unum.
Why join us? At Unum, we’ve created a workplace where people feel supported to progress and grow, and can see their ambitions coming to life. As a part of our commitment to creating an inclusive workplace, we actively encourage applications from those with disabilities and those with long-term health conditions. If you meet the essential criteria for the role and choose to opt in to the scheme during your application, you will be offered an interview under the Disability Confident Scheme. If you need assistance and/or reasonable accommodation due to a disability during the application or recruiting process, please send a request to careers@unum.co.uk. We are proud to be a Disability Confident Employer.
Senior Data Engineering Manager in London employer: Unum Group
At Unum, we pride ourselves on being an excellent employer by fostering a supportive and inclusive work environment that prioritises employee growth and development. As a Security Analyst in our hybrid Dorking location, you'll benefit from a collaborative culture that encourages continuous learning and innovation, while also having the opportunity to make a significant impact in safeguarding our organisation. Join us to thrive in your career and contribute to creating healthier workplaces.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Manager in London
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We think you need these skills to ace Senior Data Engineering Manager in London
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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How to prepare for a job interview at Unum Group
✨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
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✨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.
