Senior Data Engineer reference: 142099

This review offers insights into the Senior Data Engineer position at Lloyds Banking Group, designed to assist prospective candidates in evaluating this career opportunity.

Senior Data Engineer Opportunity: A Deep Dive

Lloyds Banking Group is seeking a talented Senior Data Engineer to join their Consumer Lending team. This role presents a significant opportunity to contribute to the development and implementation of innovative data solutions, primarily within the Google Cloud Platform (GCP) environment. You will be instrumental in shaping the company's data architecture, collaborating with diverse teams, and driving the optimisation of data utilization.

Key Advantages for Candidates:

• Strategic Impact: As a Senior Data Engineer, you will be at the forefront of designing and implementing critical data solutions, directly influencing the company's technological advancements and data-driven strategies.
• Cutting-Edge Technology: The role focuses on Google Cloud Platform (GCP), offering candidates the chance to work with modern cloud technologies and gain valuable experience in a highly sought-after area of data engineering.
• Collaborative Environment: You will engage with multi-functional teams, fostering a collaborative and dynamic work setting where knowledge sharing and cross-team innovation are encouraged.
• Career Growth & Development: Lloyds Banking Group emphasizes learning and development, providing opportunities to expand your skillset and advance your career within a large, established financial institution. The mention of AI coding tools like CoPilot suggests a forward-thinking approach to development.
• Flexible Working: The company supports a hybrid work model, allowing for a balance between in-office collaboration and remote flexibility. Specific flexible working options like job sharing are also highlighted, catering to diverse work preferences.
• Comprehensive Benefits: Beyond the competitive salary range of £70,929 - £78,810, candidates can expect a robust benefits package, including a generous pension contribution, annual performance-related bonuses, share schemes, and a variety of wellbeing initiatives.
• Commitment to Diversity & Inclusion: Lloyds Banking Group demonstrates a strong commitment to building an inclusive workplace that reflects modern society. This is evident in their proactive initiatives around diversity in senior roles, health support, and a welcoming approach to applications from underrepresented groups. They are also a disability-confident employer.

Key Considerations for Candidates:

• Technical Skillset: The role demands strong proficiency in SQL, data frame technologies (Spark or Pandas), and software engineering skills using Python and at least one of Java or C. Experience with AI coding tools like CoPilot is expected.
• DevOps & Agile Mindset: A strong DevOps attitude within an Agile methodology framework is anticipated, along with experience in cloud-based data warehousing.
• Desirable Skills: While not mandatory, experience in data, storage, or process optimisation, solution architecture impact assessment, data modelling and design, and micro-service development will be highly advantageous.
• Hybrid Work Model: Candidates should be comfortable with a hybrid work style, requiring at least two days per week (or 40% of time) spent at one of their office locations in Chester or Manchester.
• Company Purpose: Lloyds Banking Group's mission to "help Britain prosper" is central to their culture. Candidates should align with this purpose and be motivated by making a tangible difference to millions of people.

This Senior Data Engineer position offers a compelling opportunity for experienced professionals to leverage their technical expertise in a dynamic and purpose-driven environment. The role is well-suited for individuals seeking to make a significant impact, advance their careers with a leading financial institution, and contribute to shaping the future of financial services.