At a Glance
- Tasks: Build and optimise data pipelines for impactful insights across the organisation.
- Company: Join Lloyds Banking Group, a leader in transforming customer data services.
- Benefits: Enjoy a competitive salary, generous pension, 30 days' holiday, and flexible working.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Be part of a dynamic team driving innovation in data engineering.
- Qualifications: Experience in data engineering, cloud platforms, and data management processes.
The predicted salary is between 72702 - 80780 € per year.
Salary: £72,702 - £80,780
Location(s): Bristol
Hours: Full-time - 35 hours per week
Working Pattern: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Bristol office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
About this opportunity: This role sits within our Customer Data Services Platform, and we're the team that looks after the reference data, product data for the whole of Lloyds Banking Group. Our mission is to make this data available for the right purpose with the appropriate confidentiality whilst ensuring a phenomenal engineering experience based on performance, resilience, and integrity. The systems we support underpin almost everything we do as Lloyds Banking Group. We maintain these systems with the highest standard and operate them 24/7 using SRE principles.
What you'll be doing: As a Senior Data Engineer, you'll be responsible for building and optimising data pipelines and architectures that enable data-driven insights across the organisation. You'll work primarily within Informatica, IBM product manager and Google Cloud Platform (GCP) ecosystem, leveraging tools such as Big Query, DBT (Data Build Tool), Apache Kafka, and SQL and many more including legacy technologies. We expect a high degree of automation for tests and deployments. We follow LBG's agile practices and governance processes.
- Expertise in MDM (Master Data Management), reference data management, and GCP
- Participate in design/implementation reviews and team ceremonies
- Continuously look for reuse and opportunities to automate repetitive tasks
- Support building a strong team by mentoring early career engineers
- Invest to develop technical and agile skills
Why join us? We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey.
What we're looking for:
- Data Engineering: Implementing data management processes and systems
- Data Literacy: Designing, developing, and applying data and analytics experience
- Data Modelling and Design: Practice of visually representing the design of information systems
- Experienced in working with MDM, reference data, and product data management
- Experience with cloud platforms such as Google Cloud, Azure or AWS, and their underlying data engineering services
- Experience with SQL and data warehouse technology such as BigQuery
- Experience with data visualisation tools such as Tableau, Power BI, or Looker
- Familiarity with DevOps practices and tools, including CI/CD pipelines and containerisation (Docker, Kubernetes)
- Relevant certifications in data engineering, cloud platforms, or related areas
We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
This is a place for you: Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- 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
Senior Data Engineer - Customer Data Services employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Bristol that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive training opportunities, a generous benefits package including a pension contribution of up to 15%, and a focus on diversity and inclusion. Our hybrid working model ensures flexibility while maintaining a supportive culture that values every team member's contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Customer Data Services
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines, GCP, and SQL. This will help you stand out during interviews and showcase your hands-on abilities.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready to tackle coding challenges or case studies during the interview process. We want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Lloyds Banking Group.
We think you need these skills to ace Senior Data Engineer - Customer Data Services
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data management processes, cloud platforms, and any relevant tools like SQL or BigQuery. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Customer Data Services team. Be sure to mention any experience with MDM or GCP that sets you apart.
Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in building data pipelines or using data visualisation tools. We love seeing practical examples of your skills!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we’re excited to see your application come through!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Informatica, GCP, and SQL. Be ready to discuss your experience with these technologies and how you've used them to optimise data pipelines in previous roles.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data management or engineering. Think about situations where you automated processes or improved system performance, as this aligns with their focus on efficiency and resilience.
✨Understand Agile Practices
Since the role involves working within agile practices, brush up on your knowledge of agile methodologies. Be prepared to discuss how you've contributed to team ceremonies or design reviews in past projects, showcasing your collaborative spirit.
✨Emphasise Mentorship Experience
As they value building a strong team, highlight any mentoring or coaching experiences you've had with early career engineers. Share how you've helped others grow and how you can contribute to a positive team culture at Lloyds Banking Group.
