Data Engineer

Bath
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Join our innovative team at Truespeed as a Data Engineer, where you’ll play a key role in shaping our data infrastructure and making impactful, data-driven decisions across the company.

Data Engineer
Bath, Somerset

*    Full time, 40 hours per week
*    £50,000 - £60,000 per annum
*    Permanent position

Please Note: Applicants must be authorised to work in the UK

At Truespeed, data is at the heart of everything we do. As a rapidly growing company, we strive to make data-driven decisions across all functions. We’re looking for a Data Engineer to join our dynamic team and help build a reliable, scalable data infrastructure. If you’re passionate about innovation and working in a fast-paced environment where your ideas truly matter, this could be the perfect opportunity for you!

The Role

As a Data Engineer at Truespeed, you'll play a pivotal role in supporting our data infrastructure and ensuring the reliability of our data systems. Working closely with the Data Analytics team, you’ll develop and maintain data pipelines, data storage, and systems to provide seamless data access for all business functions.

Key Responsibilities:

*    Design and deliver scalable, reliable, and highly available data pipelines
*    Develop data schemas and contracts to ensure consistency and quality
*    Implement and maintain data systems, including databases and data warehouses
*    Support data governance, security, and compliance initiatives
*    Collaborate with cross-functional teams to ensure seamless integration of data resources
*    Develop and maintain operational processes for data reliability and system automation
*    Utilise geospatial data and support ETL pipelines, including DBT and Data Mesh frameworks
*    Contribute to the development of data engineering practices and principles

Benefits:

*    Competitive salary and benefits package
*    Opportunities for professional development and career growth
*    Join a fast-paced, innovative team at the forefront of data-driven decision-making
*    Be part of a supportive and collaborative company culture

The Ideal Candidate:

We’re looking for someone with a strong background in data engineering, who can bring both technical expertise and a passion for improving business processes through data. The ideal candidate is an innovative thinker, thrives in a collaborative environment, and has a strong understanding of data management practices. About you:

*    Extensive experience with databases (SQL, NoSQL, Graph) and data engineering tools
*    Knowledge of cloud databases like Google BigQuery or AWS Redshift
*    Proficient in Linux/Unix OS and containerization tools (Docker, Podman)
*    Familiarity with ETL pipelines and data processing frameworks (DBT, Data Mesh)
*    Programming experience in Python, Bash/Shell, and Java
*    Experience in handling geospatial data is a plus
*    Strong understanding of data governance, compliance, and security
*    Familiarity with telecom industry data (desirable but not essential)
*    Bachelor’s degree in IT, Computer Science, or a related field, or equivalent professional experience

If you’re ready to make an impact and transform the way we use data, apply today and join us in shaping the future!

How to apply for the role:

If you have the skills and experience required for this position, click “apply” today, and you will be directed to the company website to submit an application form.

You must be authorised to work in the UK. No agencies please.

Other suitable skills and experience include Data Engineer, Data Architect, Data Analyst, ETL Developer, Cloud Data Engineer, Data Platform Engineer, Database Administrator, Data Systems Engineer, Data Integration Specialist, and Software Developer

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.

Jobs

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.

Jobs

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.

Jobs

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!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.