At a Glance
- Tasks: Lead and inspire a team to build modern data platforms and drive innovation.
- Company: Join Unum, a supportive workplace focused on growth and ambition.
- Benefits: Generous bonus, private medical insurance, flexible working, and 27 days holiday.
- Other info: Dynamic environment with opportunities for personal and professional development.
- Why this job: Shape the future of data engineering and make a real impact in the industry.
- Qualifications: Proven experience in data platforms, team leadership, and cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
- 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.
- 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.
• 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
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.
Unum UK
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.
#J-18808-Ljbffr
Senior Data Engineering Manager in Basingstoke employer: Unum
Unum is an excellent employer that fosters a collaborative and supportive work culture, particularly for those in the Actuarial Risk and Capital team. With a hybrid work environment in Dorking, employees benefit from competitive salaries, performance incentives, and extensive support services, alongside opportunities for professional growth and development in the actuarial field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Manager in Basingstoke
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Unum!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineering Manager at Unum.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Unum.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineering Manager at Unum, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineering Manager in Basingstoke
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Unum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Unum. 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 Unum
✨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!
✨Showcase Your Projects
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 Unum!
✨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.
