Data Engineer

Hays Specialist Recruitment Limited
Hampshire
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Your new companyYou will be working at the UK's largest public ultra-rapid electric vehicle charging network, known for its reliability, simplicity, and customer-first approach. Founded in 2016, the company operates high-power DC chargers ranging from 50kW to 160kW, delivering fast, hassle-free charging across convenient locations nationwide. The company continues to expand rapidly, with over 1,700-1,800 live chargers across the UK as of late 2024 and a growing presence in Europe, supported entirely by 100% renewable energy.With chargers positioned at popular retail and hospitality partners such as McDonald's, Costa Coffee and Bannatyne Health Club this company enables drivers to "recharge" themselves while charging their vehicles. Their focus on user convenience includes simple contactless payments, transparent pricing, and a reputation for industry-leading reliability.Recognised as one of the most dependable networks in the UK, they continue to scale their infrastructure to meet growing EV demand, supporting the transition to cleaner, more sustainable transport nationwide. Your new roleYou'll work with the Senior Data Engineer and wider teams to maintain and improve InstaVolt's data warehouse and data pipelines. Your main focus will be integrating new data sources, building data models, fixing issues, and helping the team expand our data capabilities. This role is ideal for someone who enjoys problem-solving, learning new tools, and working with data. Key responsibilities include - Keeping an eye on data systems & fixing issues when they arise. - Building, updating & maintaining data models using dbt core and vs code.- Reviewing new potential data sources.- Connecting new data sources to the internal data pipeline and data warehouse.What you'll need to succeed - Technical - Strong SQL skills - Experience using dbt - Ability to model business processes using SQL in dbt- Familiarity with Git and version control.- An understanding of cloud data warehouse concepts. - Basic knowledge of SOAP/REST API's, JSON and YAML.- Basic Python for API data retrieval and data movement. Soft skills - Have a logical and problem-solving mindset- Be comfortable working both independently and with other members of the business.- Have strong relationship building skills across teams. - Positive attitude and eagerness to grow your technical knowledge- High attention to detailWhat you'll get in return- Hybid working (3 days a week in the office).- Join a fast growing company - Competitive Salary - £55,000- Expert training and development opportunities- Employees contribute directly to reducing carbon emissions and supporting environmentally friendly transportation.What you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.