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For Companies At a Glance
- Tasks: Design and build a modern data platform from scratch using Microsoft Fabric.
- Company: Join a forward-thinking company driving digital transformation through data.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Shape the future of data-driven decision-making and AI capabilities.
- Qualifications: Experience with data pipelines, SQL, and cloud-native architecture.
The predicted salary is between 50000 - 70000 £ per year.
We’re embarking on a digital transformation where data sits at the core of how we operate, make decisions, and scale. This isn’t a role where you inherit a mature platform — you’ll be helping design and build it from scratch.
As our Data Engineer, you’ll lay the technical foundations of a modern, cloud-native data platform built on Microsoft Fabric. You’ll design, develop, and optimise the pipelines, architecture, and data structures that power analytics, AI-driven insights, and business reporting. The foundation you build won’t just support today’s reporting — it will enable machine learning, intelligent automation, and AI capabilities that define how we operate tomorrow. Your work will directly shape how the entire organisation accesses, trusts, and acts on data.
What You’ll Be Doing
- Designing and building scalable, reliable data pipelines within the Microsoft Fabric ecosystem
- Developing and maintaining Lakehouse and Data Warehouse solutions
- Ingesting data from REST APIs, databases, and third-party systems into a centralised platform
- Transforming, modelling, and structuring data to support analytics and Power BI reporting
- Ensuring data quality, integrity, and consistency across all data assets
- Monitoring, troubleshooting, and continuously optimising pipeline performance
- Collaborating with Power BI developers to deliver clean, analytics-ready datasets
- Preparing and structuring high-quality datasets to support AI and machine learning workloads
- Implementing and maintaining data architecture standards, patterns, and best practices
- Supporting the adoption of Microsoft Fabric’s AI and Copilot capabilities as they mature
What We’re Looking For
We don’t expect every candidate to have every skill below. If you’re strong in most areas and genuinely excited about building something meaningful, we want to hear from you.
- Microsoft Fabric
- Hands-on experience with Lakehouse, Data Warehouse, and pipeline components
- Understanding of modern, cloud-native data architecture principles
- Awareness of Fabric’s AI and Copilot features and how they integrate into data workflows (these are emerging capabilities — not a day-one requirement)
- Data Engineering Fundamentals
- Proven experience designing and managing ETL/ELT pipelines
- Comfortable working with large, complex datasets in production environments
- Strong understanding of data modelling principles including star schema and dimensional modelling
- SQL & Data Transformation
- Advanced SQL query writing and performance optimisation
- Experience transforming data across relational and non-relational sources
- API & Integration
- Experience working with REST APIs, authentication methods, and data ingestion pipelines
- Ability to operationalise external and third-party data sources reliably
- AI & ML Awareness
- Understanding of how AI and ML pipelines consume and depend on structured data
- Familiarity with preparing datasets for model training, inference, and AI-powered reporting
- Curiosity about how tools like Microsoft Fabric Copilot can accelerate data workflows
- Governance & Quality
- Awareness of data governance frameworks, performance tuning, and optimisation
- Commitment to long-term data quality, maintainability, and reliability
What You’ll Bring
- A mindset focused on building data solutions that are scalable, reliable, and future-proof
- Strong problem-solving instincts and confidence tackling complex data challenges
- The ability to communicate clearly across both technical and business audiences
- A proactive approach — you look for ways to improve without waiting to be asked
- Ownership mentality — you care about what happens after you ship it
Data Engineer in Waltham Abbey employer: Hill Group UK
Contact Detail:
Hill Group UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Waltham Abbey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Microsoft Fabric. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with ETL/ELT pipelines and how you've tackled complex data challenges. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at StudySmarter.
We think you need these skills to ace Data Engineer in Waltham Abbey
Some tips for your application 🫡
Show Your Passion for Data: When you write your application, let your enthusiasm for data engineering shine through! We want to see that you're genuinely excited about building something from the ground up and how you can contribute to our digital transformation.
Tailor Your Experience: Make sure to highlight your relevant experience with Microsoft Fabric, ETL/ELT pipelines, and data architecture principles. We’re looking for candidates who can demonstrate their hands-on skills, so don’t hold back on showcasing your achievements!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, as we want to understand your background without getting lost in jargon. Remember, clarity is key!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Hill Group UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric, Lakehouse, and Data Warehouse concepts. Brush up on your ETL/ELT pipeline design skills and be ready to discuss how you’ve tackled complex data challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've approached and solved data-related issues. Think about specific scenarios where you optimised pipeline performance or ensured data quality, and be ready to share these stories during the interview.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This role requires collaboration with various teams, so demonstrating your ability to bridge the gap between tech and business will set you apart.
✨Be Proactive and Curious
Show your enthusiasm for building something from scratch by discussing your ideas for future-proofing data solutions. Mention any interest you have in AI and machine learning, especially how they can enhance data workflows within Microsoft Fabric.