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- Tasks: Lead the design and implementation of scalable data solutions and manage data projects.
- Company: Join Good Energy, a forward-thinking company focused on sustainable energy solutions.
- Benefits: Enjoy hybrid working allowances, a generous bonus scheme, and 25 days annual leave.
- Why this job: Shape the future of data engineering while mentoring a dynamic team in a collaborative environment.
- Qualifications: Experience in Azure cloud, advanced SQL, and leading data engineering teams is essential.
- Other info: Opportunity for continuous learning and development with a focus on ethical practices.
The predicted salary is between 60000 - 80000 £ per year.
Lead Data Engineer
Application Deadline: 20 July 2025
Department: Technology
Employment Type: Permanent – Full Time
Location: Chippenham, Wiltshire
Reporting To: Seb Lear
Compensation: £70,000 – £80,000 / year
Description
No day will be the same – here are some of the highlights
Key Responsibilities:
- Design and implement data solutions: Lead the design, development, and optimisation of data pipelines, data models, and data architecture, ensuring scalability, performance, and reliability across the organization.
- Collaboration with cross-functional teams: Work closely with data team members, technology teams, and business stakeholders to ensure data solutions align with Good Energy’s objectives and strategy.
- Driving best practices: Champion best practices for data engineering, including coding standards, data quality, data security, and documentation, ensuring consistency and maintainability across projects.
- Team member support: Provide technical support and guidance to the data team, creating a collaborative, learning-driven environment that encourages team development.
- End-to-end ownership: Manage the lifecycle of data projects and pipelines, from design and delivery through to monitoring and troubleshooting.
- Data governance and compliance: Ensure data governance, privacy, and security are prioritized in the design and delivery of data initiatives.
- Documentation and knowledge sharing: Maintain documentation for data engineering projects, leading knowledge-sharing efforts within the team to support development and enhance team capabilities.
What you\’ll need to succeed
- Be the key decision maker on the right technology stack for cloud data processing for the business
- Able to demonstrate an ongoing passion to stay up to date with the latest ETL technologies
- Lead the design and implementation of scalable, secure, and reliable data solutions on the Azure cloud platform.
- Architect data pipelines and ETL/ELT workflows using Azure Data Factory & Azure Databricks.
- Advanced SQL knowledge and a strong understanding of data warehousing concepts and data modeling techniques (e.g., star/snowflake schemas).
- Experience leading or mentoring team of data engineers, providing technical guidance, code reviews, and best practices.
- Lead and mentor a team of data engineers, providing technical guidance, code reviews, and best practices.
- Demonstrated ability to work cross-functionally with executives, product teams, and IT.
- Familiarity with Agile or Scrum methodologies.
- Experience implementing CI/CD pipelines for data solutions using tools like Azure DevOps.
- Wider Azure knowledge including SQL Servers, Event Hubs, Log Analytics, and Key Vaults.
- Familiarity with areas such as:
- Data Governance
- Data Science
- Data Architecture
- AI / Machine Learning
- Certifications in cloud platforms (AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate).
- Experience in the energy industry
Benefits you can rely on
£500 work from home allowance – an annual allowance paid monthly alongside your salary to support with working from home costs.
£500 travel allowance – an annual allowance paid monthly alongside your salary to support with travelling to work costs.
15% annual bonus: company-wide bonus scheme designed to reward collective teamwork and delivery of results across the whole business.
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Lead Data Engineer employer: Good Energy Group
Contact Detail:
Good Energy Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the latest ETL technologies and Azure cloud services. Being well-versed in tools like Azure Data Factory and Azure Databricks will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering space, especially those who have experience in the energy sector. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 3
Showcase your leadership skills by discussing any mentoring or team-leading experiences you have had. Highlighting your ability to guide a team in best practices for data engineering will resonate well with the hiring managers.
✨Tip Number 4
Prepare to discuss your experience with Agile or Scrum methodologies. Being able to articulate how you've successfully worked in cross-functional teams using these frameworks will demonstrate your adaptability and collaborative spirit, which are key for this role.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Lead Data Engineer role. Focus on your expertise in data engineering, cloud technologies, and any leadership experience you have.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Good Energy's mission. Mention specific projects or achievements that demonstrate your ability to lead and innovate in data solutions.
Highlight Technical Skills: Clearly list your technical skills, especially those mentioned in the job description such as Azure Data Factory, Databricks, SQL, and CI/CD pipelines. Provide examples of how you've used these technologies in past roles.
Showcase Leadership Experience: If you have experience mentoring or leading teams, make sure to include this in your application. Discuss how you've fostered collaboration and best practices within your team, as this is a key aspect of the role.
How to prepare for a job interview at Good Energy Group
✨Showcase Your Technical Expertise
As a Lead Data Engineer, it's crucial to demonstrate your deep understanding of data engineering concepts, especially around Azure Data Factory and Databricks. Be prepared to discuss specific projects where you've implemented scalable data solutions and how you approached challenges.
✨Emphasise Collaboration Skills
This role requires working closely with various teams. Highlight your experience in cross-functional collaboration, particularly how you've worked with business analysts and other stakeholders to align data solutions with business objectives.
✨Discuss Best Practices
Be ready to talk about the best practices you've championed in previous roles, such as coding standards, data quality, and documentation. This will show your commitment to maintaining high standards and mentoring others in the team.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think of examples where you've had to make key technology decisions or troubleshoot data pipeline issues, and be ready to explain your thought process.
