Job Title

Hybrid Working Pattern - 2 days per week from Tower Bridge office Zoopla is one of the UK’s most instantly recognisable property brands, known and loved by over 91% of the nation. Our mission is to help people make better home decisions by connecting them to their homes and providing personalised insights for moving, managing, or financing. Every month, over 50 million users access our platform to find property data, search for homes, connect with agents, and secure mortgage deals. We are a growing, innovative team committed to redefining the digital property landscape. Join us to help transform how the nation makes home decisions. We are seeking aData Engineering Managerto lead our data platform team, develop next-generation data solutions, and shape the future of data at Zoopla. As a Data Engineering Manager at Zoopla, you will:Manage and develop a team of 5-8 data and analytics engineers, providing coaching, mentorship, and career development Oversee the strategy, delivery, and maintenance of our data platform infrastructure and pipelines, ensuring scalability and reliability aligned with business objectives Collaborate with Product, Engineering, Data Science, and Analytics teams to facilitate data-driven decision-making Promote modern data engineering practices, including CI/CD, observability, version control, and testing Architect and evolve our data platform, including data warehousing (Redshift), lakehouse (Databricks), and orchestration tools (Airflow, Step Functions) Lead data governance, cataloging, compliance, and security efforts to ensure trustworthy and well-managed data Essential skills & experience:Proven leadership or management experience in a technical role, with responsibility for people and projects Hands-on expertise in Python and SQL; experience with Spark and DBT is a plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing, data lake architectures, and orchestration tools like Step Functions and Airflow Experience with infrastructure as code (e.g., Terraform) Understanding of data governance and quality practices Strong communication skills to explain technical concepts and influence stakeholders Desirable:Experience building data pipelines and lakehouse solutions using Databricks on AWS Experience leading teams of 5+ data engineers on impactful projects Benefits include:Flexible working arrangements 25 days annual leave + additional days for service Day off for volunteering & Digital detox day Festive closure between Christmas and New Year Cycle to work and electric vehicle schemes Free Calm App membership Enhanced parental leave and fertility support Group income protection and private medical insurance On-site gym or regional memberships 7.5% pension contribution Discretionary bonus up to 10%#J-18808-Ljbffr