data developers Work, Jobs in debden, ess (with Salaries)

Data Engineer
Hill Group UK —Waltham Abbey
- SQL
- Machine learning
- APIs
Data Product Specialist
Roche —Welwyn
- Computer Science
- Master's degree
- SQL
Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom
Speechify —Cambridge
- Remote
- Doctoral degree
- Computer Science
- Master's degree
FP&A Data Engineer
Arm —Cambridge
- £60,900 - £82,300 a year
- Hybrid work
- ERP systems
- AWS
Software Engineer
MBDA —Stevenage
- £65,000 a year
- Overtime
- Hybrid work
- Java
- C++
- Machine learning
- Free parking
Data Platform Manager
European Tyre Enterprise Ltd —Letchworth
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Employee discount
Lead Analytics Engineer
Graphcore —Cambridge
- SQL
- Continuous improvement
- Communication skills
2d
Lead Data Engineer - Audience Measurement
Ipsos —Cambridge
- Management
- AWS
- Leadership
- Annual leave
1d
Senior Data Platform Engineer
Tesco UK —Welwyn Garden City
- Full-time
- Azure
- SQL
- Machine learning
- Employee assistance programme
3d
Lead Software Engineer, Content Ingestion
Muck Rack —Cambridge
- £28,000 - £34,000 a year
- Remote
- Travel
- APIs
- Python
- Employee assistance programme
- Life insurance
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Product Data Specialist
Abcam —Cambridge
We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
8d
Data Product Specialist
Roche —Welwyn
You have a minimum of 2-4 years of experience working with structured data in support of analytics or reporting use cases, or an advanced degree with 0-2 years…

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Data Engineer

Hill Group UK
Waltham Abbey

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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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data developers jobs in debden, ess

Data Engineer

Data Product Specialist

Software Engineer, Data Infrastructure & Acquisition - Cambridge, United Kingdom

FP&A Data Engineer

Software Engineer

Data Platform Manager

Lead Analytics Engineer

Lead Data Engineer - Audience Measurement

Senior Data Platform Engineer

Lead Software Engineer, Content Ingestion

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