At a Glance
- Tasks: Design and build modern data solutions while mentoring a dynamic team.
- Company: Join Legal & General, a leading UK financial services group with a global impact.
- Benefits: Enjoy competitive pay, generous holidays, healthcare, and an electric car scheme.
- Other info: Flexible working options and a culture that values diversity and inclusion.
- Why this job: Make a real difference in data engineering and help shape the future of finance.
- Qualifications: Strong data engineering experience and familiarity with tools like Snowflake and ADF.
The predicted salary is between 60000 - 75000 £ per year.
Company Description
Legal & General (L&G) is a leading UK financial services group and major global investor. We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income. Our Group Functions provide the services that all areas of the business need. This requires a talented and diverse team behind the scenes, who enable everyone at L&G to do what they do best. Joining us means helping to improve the lives of our customers and contributing to the success of the business every day.
Job Description
Are you an experienced data engineer who enjoys solving complex data problems, shaping robust data models and helping others do their best work? We’re looking for a Lead Data Engineer to join our Retail DataOps team, helping to design, build and improve modern data solutions across the Retail Analytics Data Hub. This is a hands‑on technical leadership role, working with tools such as Snowflake, ADF and dbt Cloud, while also supporting engineers, engaging with business stakeholders and helping to mature how data pipelines are delivered. You’ll be working across Retail data domains including protection, retirement, annuities and pensions, with a mix of BAU and project‑based work.
What you’ll be doing:
- Designing and building modern data solutions across the Retail Analytics Data Hub
- Developing scalable data pipelines using modern ELT approaches and tools such as Snowflake, ADF and dbt Cloud
- Translating business requirements into clear technical specifications, delivery plans and engineering tasks
- Leading data modelling activity, including Kimball-style fact and dimension design
- Supporting migration from legacy tooling towards Snowflake-centred data solutions
- Working within Scrum teams to refine, plan and deliver data engineering work
- Mentoring and coaching data engineers across the team
- Improving standards, documentation, quality, governance and release processes
Who we’re looking for:
- Strong experience in data engineering, including building and operating data pipelines
- Good understanding of data modelling and dimensional modelling, using Kimball principles
- Experience with modern data tooling such as Snowflake, ADF, dbt Cloud or equivalent technologies
- Confidence translating business needs into clear technical delivery plans
- Experience working in Agile or Scrum delivery environments
- Ability to communicate clearly with technical and non-technical stakeholders
- A practical, curious approach to solving problems and improving ways of working
- Experience mentoring, coaching or supporting other engineers
Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
- The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes
- Generous pension contribution
- Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
- There are many discounts we offer – both for our own products and at a range of high street stores and online
- We’re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
Additional Information
At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel. We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
Lead Data Engineer employer: Legal And General Group
Legal & General (L&G) is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation. With a strong commitment to employee growth, L&G provides numerous benefits including a competitive pension scheme, healthcare plans, and flexible working options, all within a culture that values diversity and inclusion. Located in the UK, employees can enjoy modern, sustainable offices designed to enhance the workplace experience while contributing to a net-zero carbon future.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 Legal And General Group!
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✨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 Legal And General Group.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Legal And General Group, 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 Lead Data Engineer
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 Legal And General Group, 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 Legal And General Group. 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 Legal And General 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!
✨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 Legal And General Group!
✨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.
