Data Engineer, Huntingdon

Anglian Water
Huntingdon
1 week ago
Applications closed

Related Jobs

View all jobs

Integration & Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title:Data Engineer

Circa£40k - £45k,salary dependant on skills and experience

Permanent

Full time / 37 hours a week

Hybrid role, working from Huntingdon or Lincoln

26 day annual leave, annual bonus, double match pension (up to 6%), private healthcare

Anglian Water offers a flexible approach; this role provides you the flexibility to work from home and from an Anglian Water office. Your base location will be in either Huntingdon or Lincoln, depending on your location.

Join Us as aData Engineer- Shape the Future of the Datacore at Anglian Water

We\'re on the lookout for a passionate and experiencedData Engineerto join our dynamic and fast-growing team. This is a fantastic opportunity to play a key role in managing, optimising, and evolving the Datacore Industrial Internet of Things (IIoT) platform - enabling the delivery of critical Data products that power our business.

In this hands-on role, you\'ll be responsible for the day-to-day technical operations of the Datacore - implementing, maintaining, and enhancing the data solutions for our OT business needs. You\'ll help shape our digital future optimising the infrastructure/applications and technology that make up the platform focusing on improving efficiency and consistency.

As part of our Digital Engineering practice, you\'ll be embedded within a high-energy, fast-paced environment, collaborating with talented professionals across disciplines. You\'ll work closely with our Platform Teams, driving infrastructure improvements, identifying opportunities for continuous service optimisation, and ensuring our Datacore capabilities keep pace with business needs.

We work in a truly agile way, so experience with methodologies like DevOps, Scrum, LESS, or Kanban is essential. If you thrive in a fast-paced, forward-thinking environment and love solving complex challenges with innovative solutions, we\'d love to hear from you.

What You\'ll Be Doing


As a Data Engineer, working within our Operational Technology (DataCore) team you\'ll play a hands-on role in implementing, maintaining, and enhancing the data solutions for our OT business needs.

Your key responsibilities will include:

  • Delivering Data solutions for our Operational technology (OT) needs which will include creating ingestion pipelines, applying data cleansing rules and integrating with various systems

  • Delivering and configuring data-focused application changes

  • Monitoring performance of the data-focused applications you are charged with

  • Ensuring our data products meet service commitments and provide automated performance insights

  • Troubleshooting and preventing operational issues

  • Automating provisioning, testing, and deployment processes

  • Maintaining and enforcing best-practice operational procedures

  • Leading and contributing to Communities of Practice to drive continuous improvement and innovation

As a valued employee, you\'ll be entitled to:

  • Full private healthcare with no excess

  • 26 days leave, rising with service + Bank Holidays, with the option to swap Christmas and Easter holidays for those celebrated by your religion

  • A flexible working culture

  • Competitive pension scheme - we double-match your contributions up to 6%

  • Life Assurance at eight times your salary

  • Personal Accident cover - up to 5x your salary

  • Bonus Scheme

  • Lots of great discounts

  • Flexible benefits to support your wellbeing and lifestyle

What does it take to be a Data Engineer?


We\'re looking for someone who truly embodies our values - doing the right thing, building trust, and always exploring new ways to improve. You\'ll lead by example, fostering collaboration and inspiring those around you. You\'ll also:

  • Strong experience in data engineering

  • Experience/understanding of Data Product lifecycle management

  • Strong analytical and problem solving skills

  • Ability to make recommendations and take decisions

  • Highly organised with effective time management and planning skills

  • Excellent attention to detail

  • Willingness to adapt to change

  • Enjoys technical challenges and learning new skills

  • Take ownership of risks and support robust risk management

  • Champion knowledge sharing and operational excellence

  • Support our Digital Engineering Centre for Enablement and Communities of Practice

Key Skills and experience:

  • Highly proficient in Python and SQL

  • Proficient in Datacore application stack

  • Proficient in technologies like Bicep, Python, Docker, Kubernetes, Azure Kubernetes Service (AKS)

  • Proficient in Data Pipelines (both low code and Azure)

  • Experience in configuring and maintaining IIoT applications such as TimeSeries Databases or Industrial Data Ops Tools

  • Understanding of Agile delivery frameworks and methodologies

  • Working Knowledge of Service Management processes, specifically Change, Incident, Event, Configuration and Problem Management

Why Anglian Water?

Anglian Water is not your typical water company. What we do really matters. Water is the lifeblood of our world and we\'re proud of the difference we make. We put people at the heart of our business, and we truly love what we do! If you\'re passionate about what you do and would like to make a difference, then we\'d love to hear from you.

Closing date: 20th May 2025

#loveeverydrop

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!