National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

The Green Recruitment Company
Southampton
1 month ago
Create job alert

​The Green Recruitment Companyis working with an Environmental and Sustainability Business that supports and empower their customers journey to net zero. To join their Data-Technology team, we have an opportunity for a Data Engineer to help support the wider business (cross-functional) to meet their reporting and data requirements.

About the role:

The Data Engineer will be working with the latest innovative technologies, to design, build and maintain data solutions, constructing process to surface data both internally for reporting purposes and externally through the customer portal.

The Data Engineer will be responsible for developing scalable data pipelines to integrate diverse data sources whilst ensuring data quality under the framework of a new Data Platform for real time application integration and reporting, and will work closely with business stakeholders to support data-driven decision making by delivering clean, well-structured datasets that can be utlised for reporting purpose in a performent, secure way.

Key responsibilities:

Taking full ownership of assigned projects and BAU tasks.

Maintaining current pipelines within Azure ADF and Synapse Analytics.

Build a process of transforming raw data from various CRM system into a harmonised and curated layer.

Develop the usage of event driven topics for usage of various subscribers.

Investigate and document Architectural Spikes to help foster best practice within the Data Team.

Developing and creating data science tools to give a deeper understanding of the customer book.

Recording and updating of work on Project Management System (Azure DevOps).

Own and enhance the BAU runbook for engineering operations

Develop the instrumentation and monitoring of IT automated tasks

Taking a lead in the engineering function of the data team

Requirements:

Qualifications:Bachelor’s degree or above in Computing or Software Development or similar

Experience required:

3-5 years' Cloud-based Data Engineering experience,

Previous experience of formal methodologies with data engineering

Experience leading or working in an engineering team or function

Previous experience of using the Azure Stack

Experience working in a proactive analytics function

Experience of working in the Utilities sector

Experience leading technical projects

Skills & Technologies required:

Proficiency in cloud-based data engineering tools (ADF, Synapse Analytics, S3, Lamda)

Proficiency in using PySpark notebooks for ELT.

Fostering and cultivating a culture of best practices

Strong analytical and problem-solving skills.

Ability to work independently and as part of a functional and cross-functional team

Excellent communication and documentation skills.

Proven ability to design, evaluate and score engineering options

Formal data engineering qualification

On offer:Salary £42 000 - £45 000 (depending on experience) with an attractive company benefit package & career development

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.