Lead Data Engineer

Job Description:Job Title Lead Data EngineerLocation LondonCorporate Title Vice PresidentThe Operations and Client Services team delivers strategic, enterprise scale software engineering solutions across a diverse portfolio of applications supporting internal stakeholders and the bank's clients. As part of Corporate Bank Technology, the team operates within a strong engineering culture focused on technical excellence, continuous improvement, and talent development across front to back domains.This VP level Engineering Manager role holds end to end accountability for engineering outcomes, combining senior people leadership, technical governance, and delivery ownership. The role sets clear engineering direction, builds and leads high performing teams, drives architectural and technology decisions, and remains sufficiently hands on to assure software quality, resilience, and sustainable delivery.What we'll offer youA healthy, engaged and well-supported workforce are better equipped to do, * Lead data engineering delivery for one or more squads - Own delivery of scalable, reliable data pipelines and data products, setting technical direction and enforcing engineering standards while remaining hands-on where required (design, reviews, complex implementations)

• Define and uphold data architecture and modelling standards - Lead logical and physical data modelling, schema evolution, and data design decisions across analytical and operational data stores, ensuring consistency, performance, and downstream usability
• Build and operate cloud-native data pipelines - Design, implement, and maintain batch and streaming pipelines on cloud platforms, ensuring robustness, observability, cost awareness, and alignment with approved platform and architecture standards
• Embed data quality, lineage, and governance by design - Ensure data quality controls, metadata, lineage, and access controls are built into pipelines and datasets, supporting auditability, regulatory requirements, and trusted data consumption
• Collaborate across data science, engineering, and platform teams - Act as a technical bridge between data engineers, data scientists, application teams, and platform owners, translating analytical needs into scalable data solutions and resolving cross-domain dependencies
• Drive engineering excellence and continuous improvement - Promote best practices in testing, CI/CD for data pipelines, operational readiness, and responsible use of AI-assisted tooling, continuously improving reliability, maintainability, and developer productivity

• Senior engineering leadership with hands on credibility - Proven experience leading multiple engineering teams, setting technical direction, and remaining sufficiently hands on to assure design quality, secure coding practices, resilience, and sustainable delivery at enterprise scale
• Strong full stack and platform awareness - Expert level Java experience with a solid appreciation of adjacent technologies, including Python based data pipelines and modern frontend stacks (React, TypeScript), enabling effective end to end technical oversight
• Modern cloud native and microservices engineering - Deep experience delivering APIs and services in microservices architectures on cloud infrastructure, with strong understanding of CI/CD, containerisation, runtime operations, and production support expectations
• Data platform and database breadth - Strong understanding of relational and NoSQL database technologies, including schema design, query optimisation, and data access patterns, with the ability to guide teams on fit for purpose data storage decisions
• Knowledge graph and semantic data technologies - Working knowledge of knowledge graph concepts and graph databases, including entity modelling, relationships, and semantic layers, and how these are applied to improve data discovery, lineage, and cross domain analytics.
• Vector databases and AI enabled data architectures - Awareness of vector database technologies and similarity search patterns, and their use in AI enabled applications (e.g. semantic search, retrieval augmented generation), with the ability to guide teams on responsible and scalable adoption.

their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre.You can expect:

• Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
• Competitive salary and non-contributory pension
• 30 days' holiday plus bank holidays, with the option to purchase additional days
• Life Assurance and Private Healthcare for you and your family
• A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year

For over 150 years we have been there for our clients every step of the way. Our purpose: ‘Dedicated to our clients’ lasting success and financial security at home and abroad’ guides our vision and strategy, and is brought to life by our culture. With a global presence in about 60 countries, and a diverse workforce of more than 90,000 people, we know that each individual’s daily actions shape our culture. 

Deutsche Bank Technology in Berlin

DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. We have a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies.

Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.