Data Engineering Manager

Workable
London
4 days ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Senior Data Engineer

Data Engineering Manager

Software Team Manchester

Data Engineer Manager

Head of Data Engineering - Product & Plan for Better

Hybrid Working Pattern - 2 days per week from Tower Bridge office

Zoopla is one of the UK’s most instantly recognisable property brands. In fact, we’re known and loved by over 91% of the nation (and we’re working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing. Over 50 million people visit Zoopla every month to access exclusive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals.

We’re a growing, dynamic team that embraces innovation and isn’t afraid to push the boundaries. We’re only just starting our journey to redefine the digital property landscape, with much more to explore and achieve. Join us, and transform the way the nation makes home decisions.

We are looking for aData Engineering Managerto lead our data platform team, build next-generation data solutions, and shape the future of data at Zoopla.

As a Data Engineering Manager at Zoopla, you will:

  • Manage and grow a team of talented data engineers/analytics engineers (5 - 8 engineers), providing coaching, mentorship, and career development support
  • Own the strategy, delivery, and health of our data platform infrastructure and pipelines, ensuring they are scalable, reliable, and aligned with business goals
  • Collaborate with cross-functional teams across Product, Software Engineering, Data Science, and Analytics to enable data-driven decisions
  • Drive the adoption of modern data engineering best practices, including CI/CD, observability, versioning, and testing in data workflows
  • Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration (Airflow, Step Functions) capabilities
  • Lead efforts around data governance/cataloging, compliance, and security, ensuring data is trustworthy and well-managed

Requirements

Essential skills & experience:

  • Proven experience in a technical leadership or engineering management role, with responsibility for people management and project delivery
  • Strong hands-on experience in Python and SQL (bonus: Spark and DBT)
  • Good familiarity with AWS services (e.g. Lambda, S3, Redshift, Glue - Databricks is a plus)
  • Track record of designing and implementing scalable data platforms and ETL/ELT pipelines
  • Knowledge of data warehousing and data lake architectures, and modern orchestration tools (e.g. Step Functions, Airflow)
  • Experience with infrastructure as code (e.g. Terraform)
  • Understanding of data governance and data quality practices
  • Ability to communicate technical concepts clearly and influence senior stakeholders

Desirable:

  • Experience building data pipelines and lakehouse solutions using Databricks on AWS
  • Led and managed teams of 5+ data engineers, delivering high-impact data projects

Benefits

  • Everyday Flex - greater flexibility over where and when you work
  • 25 days annual leave + extra days for years of service
  • Day off for volunteering & Digital detox day
  • Festive Closure - business closed for period between Christmas and New Year
  • Cycle to work and electric car schemes
  • Free Calm App membership
  • Enhanced Parental leave
  • Fertility Treatment Financial Support
  • Group Income Protection and private medical insurance
  • Gym on-site in London – or membership in regional offices
  • 7.5% pension contribution by the company
  • Discretionary annual bonus up to 10% of base salary

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Jobs

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.