At a Glance
- Tasks: Lead data engineering projects and mentor a dynamic team.
- Company: Join Ageas, a top employer in the UK, transforming data-driven decisions.
- Benefits: Enjoy flexible working, 35+ days holiday, health support, and tech discounts.
- Other info: Hybrid work model available; part-time/job-share options offered.
- Why this job: Shape the future of data solutions while fostering a collaborative culture.
- Qualifications: Experience in data engineering, proficiency in Python, SQL, and Azure.
The predicted salary is between 68000 - 78000 £ per year.
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Job Title:Senior Data Engineer
Target Start Date: ASAP
Contract Type:Permanent, Part Time, Full Time, Job Share option available
Salary Range:£68k - £78k dependant on experience
Location:Eastleigh, Hybrid
Closing Date for applications:15th August 2025
Senior Data Engineer:Are you ready to lead the chargein delivering cutting-edge data engineering solutions that powerbusiness-critical decisions? At Ageas, we’re on a mission to transform how datadrives our business—and we’re looking for a Senior Data Engineer to help us getthere.
As a Senior Data Engineer, you’ll take ownership ofdiscrete data engineering deliveries, ensuring the timely and accurateprovision of data that underpins our business operating plans. You’ll lead byexample, coach developers, and play a pivotal role in shaping the future of ourdata platform.
Main Responsibilities asSenior Data Engineer:
- Lead the design, development, and testing of data solutions across the full development lifecycle.
- Manage day-to-day delivery of assigned work and deputise for the Data Operations Manager when required.
- Coach and mentor developers, fostering technical growth and capability within the team.
- Collaborate with other teams across EDS to ensure seamless data delivery.
- Drive continuous improvement in data engineering standards, tools, and processes.
- Ensure adherence to best practices in data governance, security, and compliance across all data engineering activities.
- Provide accurate estimates for development work and contribute to project planning and prioritisation.
Skills and experience you need as Senior Data Engineer:
- Proven experience in leading data engineering projects and mentoring teams.
- Strong technical skills in data warehouse design, ETL development, and data lifecycle management.
- Proficiency in Python, Java, SQL, or similar languages.
- Experience with Snowflake and Matillion preferred
- CI/CD pipelines with Azure DevOps experience.
- Experience with Azure cloud platform, and security concepts Keyvault, ACL’s and RBACs
- A passion for data and a drive to embed engineering excellence across the team.
- Ability to manage multiple priorities and communicate effectively with stakeholders.
- Familiarity with dimensional modellingand its application in building scalable, analytical data solutions.
At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve,Top Employerstatus in the UK.
Here are some of the benefits you can enjoy at Ageas:
Flexible Working- Smart Working @ Ageasgives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
Supporting your Health- Dental InsuranceHealth Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Yoga, Mindfulness.
Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
Supporting you at Work- Well-being activities, yoga, mindfulness sessions, Sports and Social Club events and more.
Supporting you and your Family-Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.
Benefits for Them- Partner Life Assurance and Critical Illness cover.
Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops.
Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
Supporting you back to work- Returnto work programme after maternity leave.
#J-18808-LjbffrSenior Data Engineer in Eastleigh employer: Ageas UK
At Ageas, we pride ourselves on being a top employer in the UK, offering a flexible working environment that allows you to balance your professional and personal commitments. Our culture fosters continuous growth and development, with ample opportunities for mentoring and coaching within a collaborative team. With a comprehensive benefits package that includes generous holiday allowances, health support, and family-friendly policies, Ageas is committed to ensuring that our employees thrive both at work and in their personal lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Eastleigh
✨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 Ageas UK!
✨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 Engineer at Ageas UK.
✨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 Ageas UK.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Ageas UK, 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 Engineer in Eastleigh
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 Ageas UK, 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 Ageas UK. 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 Ageas UK
✨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 Ageas UK!
✨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.
