Data engineer Work, Jobs in Cockfosters, Gtl (with Salaries)

Data Engineer
Hill Group UK —Waltham Abbey
- SQL
- Machine learning
- APIs
Data Engineer
Safetykleen —Brentford
- £65,000 - £72,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
Quick apply
Data Product Engineer Apprentice (Level 5)
Peabody —London
- £55,000 a year
- Azure
- SQL
- Organisational skills
- Annual leave
1d
Data Engineer
HeadFirst B.V. —London
- £4,000 - £8,500 a month
- Full-time
- Hybrid work
- Azure
- SQL
- Bachelor's degree
Quick apply
8d
Data Engineer
Clio —London
- £69.70 - £82.00 an hour
- Full-time
- Azure
- SQL
- Software development
- Life insurance
11d
Data Engineer
Fortnum & Mason —London
- Full-time
- Azure
- SQL
- APIs
1d
Data Engineer
Nomia —London
- Hybrid work
- Azure
- SQL
- Python
Data Engineer
Dataiku —London
- Remote
- Azure
- DevOps
- SQL
Data Acquisition Engineer
Opensignal —London
- Remote
- Annual leave
- Work from home
Quick apply
8d
Data Engineer
Air Apps —London
- £54,000 - £67,000 a year
- Full-time
- Data analysis skills
- SQL
- Analysis skills
- Life insurance
Principal Data Engineer
Eckoh —Hemel Hempstead
- From £75,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- AI
- Free parking
- Work from home
Quick apply
11d
Data Engineer
Ryan Specialty —London
- Full-time
- Azure
- SQL
Junior Data Engineer
Sagacity —London
- Full-time
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Quick apply
Data Engineer
ISS Facility Services —London
- Hybrid work
- SQL
- Scripting
- Agile
Quick apply
Data Engineer
the7stars and Bountiful Cow —London
- Hybrid work
- Azure
- Salesforce
- SQL
- Employee assistance programme
- Gym membership
Quick apply
12d
Data Engineer
Xantura —London
- Full-time
- Hybrid work
- Azure
- SQL
- Analysis skills
- Annual leave
- Employee assistance programme
Quick apply
Data Engineer
Winton Group —London
- Communication skills
- Python
Data Engineer
Betway Group —North London
- Full-time
- Azure
- SQL
- AI
- Employee assistance programme
- Employee discount
Data Engineer
Fasanara —London
- Full-time
- Azure
- Doctoral degree
- Computer Science
- Annual leave
Quick apply
14d
Data Engineer (EU/UK Based - Remote)
Duvo Inc —London
- £135,000 - £190,000 a year
- Full-time
- Remote
5d

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Data Engineer

Hill Group UK
Waltham Abbey

Apply Now

Job details

Qualifications

Authentication
Power BI
Data modelling
Cloud architecture
SQL
Machine learning
REST
APIs
AI
Data warehouse

Full job description

Build Something From the Ground Up

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

Working closely with the Digital Transformation Director, Group IT Manager, and business stakeholders, your day-to-day will include:

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

Apply Now

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