Data Engineer

Salary: £68,500 - 80,000 per year

Requirements:

• Proven experience designing and developing data pipelines using SQL, Python or similar languages.
• Strong problem-solving skills, attention to detail and a commitment to high-quality delivery.
• A proactive mindset and passion for using data to improve services, decision-making and customer outcomes.
• The ability to work collaboratively with technical and non-technical stakeholders to deliver effective data solutions.
• Working knowledge of data warehousing, cloud platforms such as Snowflake or AWS, CI/CD, Git and DevOps practices.

Responsibilities:

• Design, build and maintain data pipelines to support analytics, reporting and AI/ML capabilities.
• Develop batch and real-time data processing pipelines using modern tools and frameworks.
• Apply data transformation, cleansing and validation techniques to ensure accuracy and consistency.
• Monitor pipeline performance, resolve incidents and maintain data availability and service levels.
• Work collaboratively with stakeholders, analysts and engineers to deliver effective data solutions.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• DevOps
• Git
• Support
• Python
• SQL
• Snowflake
• Clojure
• Kafka

More:

We are Hyde, part of the Hyde group and one of the UKs leading housing providers, managing and owning around 120,000 homes nationwide. We are committed to building safe, sustainable communities where people can thrive. This role is based in London Bridge and offers a salary of £68,500 to £80,000 depending on experience. We offer an excellent pension scheme, generous holiday allowance, life assurance, an award-winning flexible benefits platform, support for learning and career development, and hybrid working options. Equity, diversity and inclusion are central to life at Hyde, and we are committed to creating an inclusive workplace where everyone feels respected, valued and able to be themselves.

last updated 39 week of 2026