Software Engineer - Data Engineering

Dowgate
1 month ago
Applications closed

Related Jobs

View all jobs

Python Data Engineer

Data Engineer (Azure Data Platform)

Data Engineer / Consultant

Data Analyst

Data Engineer

Mid-Level Data Engineer

Would you like to join Hyde as a Software Engineer.

Hyde is looking to recruit a Software Engineer to join our Data Engineering team within the Technology function.

Technology is central to delivering better services and smarter decision-making at Hyde. As a Software Engineer in Data Engineering, you will design, build and scale secure, high-performing integration and streaming solutions that connect our business systems and cloud platforms — enabling seamless data flow and supporting improved customer outcomes.

Key Responsibilities

  • Analyse business systems, architectures and data models to design effective integration solutions

  • Develop and maintain APIs, integrations and streaming pipelines across cloud platforms

  • Build and support scalable, secure and high-performing cloud-based infrastructure

  • Collaborate with architecture, cloud and application teams to ensure seamless system integration

  • Implement and manage CI/CD pipelines to support automated, reliable deployments

  • Monitor platform performance, troubleshoot issues and implement preventative improvements

  • Ensure data quality, integrity and reliability across integrated systems

  • Maintain clear technical documentation and provide support to internal technical stakeholders

  • Champion high standards of coding, testing and thoughtful system design

    About You

    You are a technically strong and solution-focused engineer who enjoys solving complex integration challenges. You combine attention to detail with a practical, delivery-focused mindset.

    You will demonstrate:

  • Experience designing and building data integration solutions

  • Strong understanding of cloud infrastructure and scalable system design

  • Knowledge of data models, APIs and streaming technologies

  • Experience implementing CI/CD pipelines

  • Strong problem-solving and troubleshooting capability

  • A collaborative approach, working effectively across technical teams

  • A commitment to high standards of quality, documentation and performance

    Why Join Hyde?

    Hyde is one of the UK’s leading and award-winning providers of affordable homes in London, the South-East and surrounding areas. We provide and manage 50,000 homes for over 100,000 customers. Our purpose is simple — to provide safe, high-quality homes and services for people who need them most.This role is central to Hyde’s digital and data transformation journey. By enabling reliable, accurate and timely data flow across our systems, you will directly support better services for our customers, stronger regulatory compliance, and smarter organisational decision-making.

    At Hyde, you’ll be part of a values-led organisation where ownership, collaboration and continuous improvement are encouraged and recognised.If you’re looking for a role where your technical expertise will make a tangible impact on customers and communities, we’d love to hear from you.

    We’re Inclusive. Diversity, Inclusion & Accessibility

    Equity, diversity and inclusion are central to life at Hyde. We’re committed to creating a truly inclusive workplace where everyone feels respected, valued and able to be themselves. Our aim is to have a workforce that reflects the diversity of the customers and communities we serve, ensuring that different perspectives are represented in decision-making, service delivery, and the way we shape our organisation. By fostering an environment where all voices are heard and valued, we can better understand the needs of our communities and deliver services that are fair, accessible and impactful.

    As a Disability Confident Employer, we’re happy to provide reasonable adjustments throughout the recruitment process and in the workplace.

    We reserve the right to close this advert early if a suitable candidate is identified

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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.