National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineering Manager

eFinancialCareers
Greater London
2 weeks ago
Create job alert

Responsibilities

:

Leadership & Strategy
Work with the Director of Data Engineering and IT Leadership to enhance thepany's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value.
Team Management
Lead the Data Engineering team, providing supervision, coaching, and professional development. Work with the Data Delivery Manager to improve team productivity and velocity. Oversee planning sessions, standups, retros, and team meetings. Define and deliver technical goals & OKRs in collaboration with the teams.
Technical Leadership
Own the architecture of thepany's data platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs.

Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead reviews and approvals for Data Engineering, Data Science, and Data Visualization projects via data architecture review board. Promote best practices in dataernance, security, data protection, and risk management.
Operational Excellence
Oversee monitoring of live data products and lead response to data incidents. Drive improvements in data quality, working with data owners and managers. Collaborate with engineering teams to ensure seamless system integration. Advocate for reducing technical debt while balancing resource constraints.
Innovation & Continuous Improvement
Stay updated with industry trends and rmend relevant technologies. Lead analysis, assessment, and design activities, influencing key decisions. Foster collaboration with data analysts and data scientists to develop impactful data products.
Requirements - Skills and Experience

To qualify for the DEM role, experience and skills from the list below are required.

Essential:
Strong leadership: An inspirational leader, engaging team player, and curious listener. Excellent problem-solving skills with experience inplex data products. Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs when designing deliverables. Experience in designing technology solutions withplex end-to-end data flows. Experience in implementing dataernance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, andpliance.
Preferred:
Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including exposing and consuming data via APIs, streams, and webhooks. Good understanding of security and data protection best practices. Familiarity withpliance and regulations, such as GDPR, PCI and FCA. The flexibility to adjust your delivery approach to business needs, including mixing elements of Kanban, Scrum, Lean and our own custom practices. The passion to stay up-to-date with the latest advancements in your field, exploring new tools and methodologies. The curiosity to understand the business, its requirements and culture. Your own unique style or way of working, which will make our team diverse and original.
Why Travelex?

To remain the world's leading foreign exchange specialist, we are focused on making our customers' lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way - enabling them to travel confidently because they know they have us to lean on.

Customer centricity and digital are at the heart of our business strategy. Ourmitment to innovation has never been greater, with the development of several digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border emerce, and international payments.

We are an equal opportunity employer and value diversity at ourpany. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Job ID JR47529

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.