Lead Data Engineer, Retail Analytics & DataOps in Cardiff

Lead Data Engineer, Retail Analytics & DataOps in Cardiff

Cardiff Full-Time 60000 - 63561 £ / year (est.) No working from home possible
Legal And General Group

At a Glance

  • Tasks: Design and build innovative data solutions while leading a team of engineers.
  • Company: Join Legal & General Group, a leader in retail analytics.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Be part of a dynamic Agile/Scrum environment with great career advancement.
  • Why this job: Make a real impact in retail analytics and shape the future of data solutions.
  • Qualifications: Experience in data engineering and leadership skills are essential.

The predicted salary is between 60000 - 63561 £ per year.

Legal & General Group in Cardiff is seeking a Lead Data Engineer to join the Retail Analytics Data Hub.

You will design, build and improve data solutions across retail domains, with hands-on leadership and collaboration with stakeholders.

You'll mentor engineers, advocate modern ELT patterns using Snowflake, Azure Data Factory and dbt Cloud, and help mature data pipelines, governance and release processes within an Agile/Scrum environment.

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Lead Data Engineer, Retail Analytics & DataOps in Cardiff 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.

Legal And General Group

Contact Details:

Legal And General Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer, Retail Analytics & DataOps in Cardiff

Get Involved in Data Science Meetups

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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 Lead Data Engineer, Retail Analytics & DataOps at Legal And General Group.

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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, Retail Analytics & DataOps 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, Retail Analytics & DataOps in Cardiff

SQL
Python
Communication Skills
Problem-Solving Skills
Data Pipeline Development
Data Engineering
Automation

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.