At a Glance
- Tasks: Lead the design and development of a modern data platform using Databricks and cloud technologies.
- Company: Join a Tier 1 bank in London with a focus on innovation and data excellence.
- Benefits: Competitive daily rate, hybrid work model, and potential for contract extension.
- Other info: Opportunity for career growth and collaboration with cross-functional teams.
- Why this job: Shape the future of banking data while leading a talented team in a dynamic environment.
- Qualifications: Experience in data engineering, SQL, Python, and cloud migration.
The predicted salary is between 60000 - 80000 £ per year.
The Data Engineer Lead is responsible for designing, building, and supporting a modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments.
The role supports the organisation's data strategy especially on Finance and Regulatory domain by ensuring high-quality, reliable pipelines and data models that enable analytics, regulatory reporting, and data-driven decision-making. The post holder plays a key leadership role within the Data Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation.
Tech Stack:
- SQL
- Oracle
- Python
- ETL
The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads the design, implementation, and optimisation of the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards.
Core Responsibilities:
- Databricks / Modern Data Platform Engineering: Lead the design and development of Data Marts using Databricks (SQL / Python). Follow engineering best practices including version control, CI/CD, orchestration, and environment management. Ensure governance, performance optimisation.
- Legacy Oracle Migration Leadership: Lead and coordinate the migration of data assets from Oracle database systems to the modern cloud data platform. Oversee source-to-target mapping, data model redesign, and automated migration frameworks. Define strategy for retiring legacy ETLs and implementing equivalent or improved cloud-native solutions. Collaborate tightly with Oracle DBAs, business SMEs, and architects to ensure data integrity and continuity.
- Team Leadership & Stakeholder Collaboration: Provide technical leadership, mentoring, and coaching to data engineers. Engage with cross-functional teams (Architecture, DevOps, Analytics, Risk, Finance). Translate complex technical decisions into clear business impacts for senior stakeholders. Support and review development outputs, ensuring high quality and alignment with standards.
- Change Management Control: Comply with change management processes for production deployments and environment updates. Ensure documentation and configuration records meet audit requirements.
Lead Data Engineer - Hybrid - Banking. Job in London Move Collective Jobs employer: Broughton Group
As a Lead Data Engineer at our Tier 1 Bank in London, you will thrive in a dynamic and innovative work environment that prioritises employee growth and collaboration. With a strong focus on modern data engineering practices and cloud technologies, we offer competitive rates, flexible hybrid working arrangements, and opportunities to lead impactful projects that shape the future of banking. Join us to be part of a culture that values excellence, teamwork, and continuous learning, all while enjoying the vibrant atmosphere of Liverpool Street.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Hybrid - Banking. Job in London Move Collective Jobs
✨Tap into Online Data Science Communities
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We think you need these skills to ace Lead Data Engineer - Hybrid - Banking. Job in London Move Collective Jobs
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Broughton Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Broughton Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Broughton Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Broughton Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Broughton Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Broughton Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Broughton Group.
