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For Companies At a Glance
- Tasks: Design and develop data pipelines, ensuring quality and compliance.
- Company: Join a growing energy business with ambitious data goals.
- Benefits: Enjoy hybrid working, flexible hours, and career development opportunities.
- Why this job: Lead data initiatives in a supportive, collaborative culture with real influence.
- Qualifications: 5+ years in data engineering, advanced SQL, and Azure expertise required.
- Other info: Opportunity to shape data governance and drive strategic decisions.
The predicted salary is between 43200 - 72000 £ per year.
This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front.
What You’ll Be Doing:
- Designing and developing robust data pipelines to centralise and clean data from multiple sources
- Building conceptual and physical data models to support reporting and analysis
- Championing data governance and implementing controls to ensure quality and compliance
- Developing automated ETL solutions using Microsoft Azure tools
- Leading best practice in engineering standards, code quality, and peer review
- Supporting teams through training sessions and knowledge sharing
Main Skills Needed:
- Proven experience in data engineering, ideally 5+ years
- Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server)
- Comfortable with Python, C#, and working with APIs
- Familiar with cloud data platforms (Azure essential; AWS useful)
- Confident designing data architecture and building models from scratch
- Solid understanding of database management and governance principles
- Skilled in Excel, including VBA for analysis and automation
- Strong problem-solver, commercially aware, and naturally collaborative
What’s in It for You:
- Big scope: real influence over how data is used in a modernising business
- Supportive team culture, with a flat structure and lots of autonomy
- Hybrid working and flexible hours
- Career development through both hands-on leadership and formal L&D
- A business that values curiosity, collaboration, and getting stuck in
Let’s talk about what your next move could look like.
Data Engineer employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, especially Microsoft Azure. Consider taking online courses or certifications to deepen your understanding of Azure Data Lake, Synapse, and SQL Server, as this will demonstrate your commitment and readiness for the role.
✨Tip Number 2
Network with current data engineers or professionals in the energy sector. Attend industry meetups or webinars to gain insights into best practices and trends, which can help you speak knowledgeably during interviews and show your genuine interest in the field.
✨Tip Number 3
Prepare to discuss your previous projects that involved building data pipelines and governance frameworks. Be ready to share specific examples of challenges you faced and how you overcame them, as this will highlight your problem-solving skills and hands-on experience.
✨Tip Number 4
Showcase your collaborative spirit by thinking of ways you can contribute to team training sessions or knowledge sharing. Highlighting your willingness to support others and lead discussions on best practices can set you apart as a candidate who aligns with the company culture.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly your skills with SQL and Azure. Use specific examples of projects where you've designed data pipelines or implemented data governance.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with automated ETL solutions and cloud data platforms.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your problem-solving skills and any leadership roles you’ve taken on.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that your language is clear and professional, reflecting your attention to detail, which is crucial in data engineering.
How to prepare for a job interview at Addition+
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Azure, and programming languages like Python and C#. Bring examples of projects where you've designed data pipelines or worked with APIs to demonstrate your hands-on expertise.
✨Understand Data Governance
Since the role involves championing data governance, make sure you can articulate your understanding of data quality and compliance. Be ready to discuss how you've implemented controls in previous roles to ensure data integrity.
✨Demonstrate Problem-Solving Abilities
Prepare to share specific examples of challenges you've faced in data engineering and how you resolved them. Highlight your analytical skills and your ability to think critically under pressure.
✨Emphasise Collaboration and Leadership
This role requires a collaborative approach, so be ready to discuss how you've supported teams through training and knowledge sharing. Share instances where you've led by example and contributed to a positive team culture.
