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 50000 - 60000 £ 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 LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
As a Lead Data Engineer at our Tier 1 Bank in London, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. Our hybrid work model allows for flexibility while fostering a strong team culture, and we offer competitive rates alongside opportunities to lead cutting-edge projects in cloud data engineering. Join us to make a meaningful impact on our data strategy and enjoy the benefits of working in one of the world's leading financial hubs.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer - Hybrid - Banking. Job in London LilyLifestyle Jobs
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a bank. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experience with Databricks, SQL, and cloud-based data engineering. Use real examples of how you've tackled challenges in past roles to demonstrate your expertise.
✨Tailor Your Approach
Before any interview, do your homework on the company and the role. Understand their data strategy and be ready to discuss how your skills align with their needs, especially around migrating legacy systems and ensuring data integrity.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer - Hybrid - Banking. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Databricks, cloud-based data engineering, and any leadership roles you've held. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've led data migrations or optimised data platforms, and show us your passion for data engineering.
Showcase Your Technical Skills:In your application, don't forget to showcase your technical skills, especially in SQL, Python, and ETL processes. We love seeing concrete examples of how you've used these technologies to solve problems or improve processes.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in SQL, Oracle, Python, and ETL processes. Brush up on Databricks and cloud-based data engineering concepts, as these will be crucial for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead teams and mentor others. Prepare examples of how you've successfully led projects or teams in the past, especially in migrating legacy systems to modern platforms.
✨Understand the Business Impact
Be prepared to translate technical decisions into business outcomes. Think about how your work in data engineering can support finance and regulatory reporting, and be ready to discuss this with senior stakeholders during the interview.
✨Prepare for Change Management Questions
Since compliance and change management are key aspects of the role, review your experience with production deployments and documentation. Be ready to explain how you ensure that your work meets audit requirements and adheres to governance standards.
