At a Glance
- Tasks: Build and optimise data pipelines for impactful insights across the organisation.
- Company: Join Lloyds Banking Group, a leader in customer data services.
- Benefits: Full-time role with competitive salary and opportunities for skill development.
- Other info: Dynamic team environment with a focus on mentorship and career growth.
- Why this job: Make a real difference in data management while working with cutting-edge technologies.
- Qualifications: Experience in data engineering, MDM, and cloud platforms like GCP.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- 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
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.
What the job involves
- HOURS: Full-time – 35 hours per week
- 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.
- 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.
Senior Data Engineer (Customer Data Services, CIO Enabling) in Bristol employer: Deepstreamtech
At Lloyds Banking Group, we pride ourselves on being an exceptional employer that fosters a collaborative and inclusive work culture. As a Senior Data Engineer, you'll not only have the opportunity to work with cutting-edge technologies like Google Cloud Platform and Informatica but also benefit from a strong focus on employee growth through mentoring and continuous learning. Our commitment to maintaining high standards in data management ensures that you will be part of a team that values performance, resilience, and integrity, all while enjoying a balanced work-life with a full-time, 35-hour week.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Customer Data Services, CIO Enabling) in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Lloyds Banking Group. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got experience with data pipelines or GCP, make sure to highlight that in conversations. Share specific examples of how you've optimised processes or improved data management – it’ll make you stand out!
✨Tip Number 3
Prepare for the interview by brushing up on agile practices and SRE principles. We want to see that you not only understand these concepts but can also apply them in real-world scenarios. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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, CIO Enabling) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with data management processes, MDM, and any relevant tools like GCP or SQL. We want to see how you can bring value to our team!
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 your background aligns with our mission at Lloyds Banking Group. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:In your application, don’t forget to highlight your technical skills, especially in areas like data modelling, automation, and cloud technologies. We love seeing candidates who are not just experienced but also eager to learn and adapt to new tools and practices.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
As a Senior Data Engineer, you'll be expected to have a solid grasp of data management processes and systems. Brush up on your knowledge of MDM, reference data, and product data management. Be ready to discuss how you've implemented these in past roles and how they can benefit the team.
✨Showcase Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, like Informatica, GCP, and SQL. Prepare to share specific examples of how you've used these technologies to build and optimise data pipelines. Demonstrating your hands-on experience will set you apart from other candidates.
✨Emphasise Automation and Efficiency
The role requires a high degree of automation for tests and deployments. Think about instances where you've automated repetitive tasks or improved processes. Be ready to discuss your approach to enhancing efficiency and how it aligns with the agile practices of the company.
✨Be a Team Player
Mentoring early career engineers is part of the job, so highlight any experience you have in coaching or leading teams. Discuss how you foster collaboration and support others in their development. This shows that you're not just technically skilled but also a great fit for the team culture.
