At a Glance
- Tasks: Lead a team to modernise Unum's data platforms and drive innovation.
- Company: Join Unum Group, a forward-thinking company on a mission to empower the working world.
- Benefits: Generous bonus, private medical insurance, flexible working, and 27 days holiday.
- Other info: Inclusive workplace encouraging applications from diverse backgrounds.
- Why this job: Shape the future of data engineering and make a real impact in analytics and AI.
- Qualifications: Proven experience in building modern data platforms and leading engineering teams.
The predicted salary is between 75600 - 92400 £ per year.
As part of the international Unum Group, we’re on a collective mission to help the working world thrive.14 Senior Data Engineering Manager Hybrid - 3 days minimum in office Location - Dorking or Basingstoke (option for 1 day a week in London)What will you bring?Senior Data Engineering Manager Build the future of data at Unum.
We're looking for an experienced and visionary Senior Data Engineering Manager to lead the transformation of Unum's data ecosystem.
This is a rare opportunity to shape and modernise both our cloud and on-premises data platforms, establishing the foundations that will enable advanced analytics, AI, and data-driven decision-making across the business.
You'll lead a talented team of engineers while remaining close to the technology, setting engineering standards, driving innovation, and creating scalable, automated data products that deliver real business value.
If you're passionate about building modern data platforms, leading high-performing teams, and leaving a lasting technical legacy, we'd love to hear from you.
What you'll be doing As our Senior Data Engineering Manager, you will: 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.
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 / SQLDatabricks 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.
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 opinions27 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.#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.
Basingstoke, Hampshire, UKType: Full time
Locations
Data Engineering Senior Manager in Dorking, Surrey 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 Data Engineering Senior Manager in Dorking, Surrey
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We think you need these skills to ace Data Engineering Senior Manager in Dorking, Surrey
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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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.
