At a Glance
- Tasks: Lead a team to design and develop innovative data solutions for security insights.
- Company: Join Lloyds Banking Group, a leader in digital transformation and finance.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working.
- Other info: Inclusive workplace with diverse opportunities and excellent career growth.
- Why this job: Make a real impact in data engineering while shaping the future of finance.
- Qualifications: Proficient in data engineering with leadership experience and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
Join to apply for the Lead Data Engineer role at Lloyds Banking Group.
Base pay range: Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Location: Edinburgh, Manchester, Leeds or Bristol
Hours: Full time
Working Pattern: Hybrid, 40% (or two days) in an office site
About this opportunity:
At Lloyds Banking Group, we're moving to the next stages of our digital transformation, and it's our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO's Security Data Services lab does this by using data to build security insights by working collaboratively with our Data Management and Analytics teams.
This is an exciting opportunity for a Lead Data Engineer to join the Security Data Services lab in the Chief Security Office to work alongside the Team Product Owner in a Feature Team managing delivery by leading others. They will operate as co-leader with the Team PO with involvement in decision making and planning of Product roadmap.
What you'll do:
- Design, develop, and maintain complex Data Products.
- Implement clean, maintainable, and efficient solution design following best practices.
- Lead implementation reviews and all aspects of data product delivery to preserve quality and share knowledge.
- Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.
- Identify and implement best practices for data engineering.
- Excellent problem solving and analytical skills to resolve complex data issues, technical problems, and bugs.
- Leading and managing a team of data engineers to develop and deliver data products for labs within CSO, using a wide range of internal and external data sources.
- Strong understanding of data security principles and secure architectural practices.
- Knowledge of DevOps practices and CI/CD pipelines.
- Ensure timely delivery by managing tasks and priorities effectively utilising their in-depth expertise in Agile methodology.
- Communicate effectively with team and stakeholders.
- Accountable for custodianship governance activities on data assets that their platform produce and consume.
What you'll need:
- Data Engineering - Proficient in building end to end data solutions, including ETL pipelines and data warehouses.
- Data Literacy - In depth knowledge of the full data lifecycle and data-informed decision making.
- Data Modelling & Design - Proficiency in designing robust data models using databases.
- Leadership - Experience building and leading high performing teams.
- Innovators Mindset - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry.
It would be great if you also had:
- Artificial Intelligence/Machine Learning knowledge.
- Understanding of the emerging threats within Cyber Security.
About working for us:
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. As an inclusive employer, we offer Workplace Adjustments for colleagues with a disability (which may include long term health and neurodivergent conditions) where it is reasonable to do so. This could include flexibility with regards to office attendance, location, and working pattern. If you have a disability, you can also apply via our Disability Confident Scheme (DCS). Through the DCS, we guarantee to interview a fair and proportionate number of applicants with a disability, whose application meets the minimum criteria for the advertised job role. We also provide adjustments that are reasonable throughout the recruitment process to reduce or remove barriers for applicants with a disability, long-term health condition or neurodivergent condition. If you'd like an adjustment to the recruitment process just let us know.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%.
- An annual bonus award, subject to Group performance.
- Share schemes including free shares.
- Benefits you can adapt to your lifestyle, such as discounted shopping.
- 30 days' holiday, with bank holidays on top.
- A range of wellbeing initiatives and generous parental leave policies.
If you're excited by the thought of becoming part of our team, get in touch. We'd love to hear from you!
Lead Data Engineer employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in vibrant cities like Edinburgh, Manchester, Leeds, and Bristol. With a strong commitment to employee growth, inclusive practices, and a comprehensive benefits package including generous pension contributions and flexible working arrangements, we empower our team members to thrive both personally and professionally while contributing to our mission of shaping finance for good.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Get Involved in Data Science Meetups
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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 LLOYDS BANKING GROUP.
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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 LLOYDS BANKING 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 LLOYDS BANKING 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 LLOYDS BANKING 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 LLOYDS BANKING 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.
