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

Nominate & Attend

Senior Data Engineering Manager

Propel London
Greater London
1 year ago
Create job alert

Job Description

The Role
As a Senior data engineering manager for this high growth SAAS scale up you will play a key role in managing the data engineering team and shaping the data engineering culture!
You will:
•Manage the global data engineering split across the UK and the US. (team of 5)
•Ensure the data platform is fit for purpose and meets business requirements.
•Build and Maintain High performance and scalable data platform.
•Work with other technology teams to design and implement robust products, services and capabilities for the data platform.
•Build and Support platforms to enable both data engineers and product engineers to build a cloud based platform.
•Engineer platform ingestion data warehouse/data lake and api strategies for data management.
•Work with DevOps to provide high availability data solutions that scale.

About You

As a Senior Data Engineering Manager for this high growth SAAS business you will have a variety of skills that will enable you to succeed in the role!

You will have -

•Line management experience of data engineering teams.
•Extensive Knowledge of fundamental data engineering technologies and practices.
•Strong Experience with cloud architectures
•Experience writing production code in multiple languages including c# Python Go etc.
•Experience writing OO code.
•Good experience of Data Engineering at an enterprise level!
•Good understanding of Cloud storage platforms Preferably Azure but good knowledge of AWS or GCP is Ok.
•Good understanding of DevOps
•Containerization experience
•Expertise in Postgres MySQL
•Deep understanding of CI/CD


Related Jobs

View all jobs

Senior Data Engineering Manager

Senior Data Engineer

Data Engineering Manager

Principle Data Engineer

Senior Manager, Data Engineering

Senior Manager, Data Science, Science

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.