Data Engineer

Pinpoint
Southampton
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Description

Zenergi supports and empowers our customers’ journey to net zero. With a unique range of services, we tailor sustainable solutions for all our customers. 


What sets us apart? We drive major reductions in costs, energy consumption and carbon emissions with our market-leading procurement service; informed advice, and unrivalled engineering expertise.


We’re here to guide you every step of the way. We strongly believe in supporting every member of the team to become the best they can during their Zenergi journey. We are committed to providing a positive environment where people can grow and develop both professionally and personally.

About the role


As a Data Engineer at Zenergi, you will work as part of the Data Team to help support the wider business to meet their reporting and data requirements. Working with the latest innovative technologies, you will work to design, build and maintain data solutions, constructing process to surface data both internally for reporting purposes and externally through the customer portal. You 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. You will work closely with business stakeholders to support data-driven decision making by delivering clean, well-structured datasets that can be utilised for reporting purpose in a performent, secure way.


Key Responsibilities

Primary duties

  • 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


Skills, Knowledge and Expertise

Skills:

  • 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 
Knowledge & Qualifications:

  • GCSE (or equivalent) at grade C or above in  English and Maths
  • Bachelor’s degree or above in Computing or Software Development or similar
  • Full UK-driving licence
Experience:

  • Experience working in a data engineer role
  •  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


Benefits


Contract Type:Permanent
Contracted weekly hours: 37.5 hours per week
Working hours: Monday – Friday, 9:00 – 17:00 with 30-minute break
Location: Hybrid based out of Southampton office
Salary:£42,000 - £45,000 (Depending on experience)
Zenergi, are a utilities & environmental consultancy aiming to make a positive difference in the world of energy in a simple, sustainable & achievable manner. One that can help cut through the confusion, free you from the stresses of managing bills, chasing payments & validating with the option to help improve sustainability & carbon reduction for your business. We have helped make a difference to 4500 customers which includes educational facilities, care groups, local authorities & housing associations across the United Kingdom.

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 Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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 Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.