Data Engineer

Zenergi; Hedge End; Hybrid; GBP 42,000 - 45,000; Full time

Job summary

Zenergi is seeking a Data Engineer to join their team in Southampton. In this role, you will oversee data pipeline development, collaborate on data solutions, and ensure data quality for reporting and analytics. The position offers a supportive team environment dedicated to professional growth and sustainability solutions.

Qualifications

• Experience as a Data Engineer with knowledge of Azure Stack.
• Formal data engineering qualification required.
• Proficient in using analysis tools and methodologies.

Responsibilities

• Develop scalable data pipelines and maintain current pipelines within Azure ADF.
• Take ownership of assigned projects and BAU tasks.
• Lead engineering functions within the data team.

Skills

Proficiency in cloud based data engineering tools

Analytical and problem-solving skills

Excellent communication and documentation skills

Education

Bachelor’s degree or above in Computing or Software Development

GCSE in English and Maths at grade C or above

Tools

Azure Data Factory

Synapse Analytics

PySpark

Job description

Data Engineer

Application Deadline: 18 August 2025

Department: Information Technology

Employment Type: Permanent - Full Time

Location: Southampton

Reporting To: Head of Data

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)