At a Glance
- Tasks: Design and build data solutions using Snowflake and dbt Cloud in a dynamic team.
- Company: Join Legal & General, a top UK financial services group with a strong reputation.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Fast-paced Scrum environment with a focus on collaboration and improvement.
- Why this job: Lead innovative data projects that shape the future of retail analytics.
- Qualifications: Experience in data engineering and a passion for mentoring others.
The predicted salary is between 63000 - 77000 £ per year.
Legal & General (L&G) is a leading UK financial services group seeking a Lead Data Engineer to join the Retail Data Ops team.
You will design, build and improve data solutions across the Retail Analytics Data Hub, using Snowflake, ADF and dbt Cloud.
You’ll mentor engineers, work with stakeholders, and help mature data delivery practices in a fast-paced Scrum environment across protection, retirement, annuities and pensions.
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Lead Data Engineer – Retail DataOps with Snowflake/dbt in England employer: LegalAndGeneral
Legal & General is an excellent employer that prioritises employee well-being and professional growth, offering competitive benefits such as generous pension contributions and flexible working options. Our collaborative work culture fosters innovation and allows you to make a meaningful impact in the field of asset liability management, all while being part of a forward-thinking team in a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer – Retail DataOps with Snowflake/dbt in England
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We think you need these skills to ace Lead Data Engineer – Retail DataOps with Snowflake/dbt in England
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 LegalAndGeneral, 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 LegalAndGeneral. 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 LegalAndGeneral
✨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 LegalAndGeneral!
✨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.
