Offer summary

Qualifications:

Experience in data engineering, data analysis, or junior development roles., Knowledge of Azure Data tools such as Data Factory, Synapse, Data Lake, and Pyspark-SQL., Understanding of ETL/ELT processes., Interest in learning Microsoft Fabric and Medallion Architecture..

Key responsibilities:

Support development and maintenance of enterprise data solutions like Data Lakehouse and Data Warehouse.

Build, test, and deploy scalable data pipelines with senior engineers.

Perform tasks such as data ingestion, validation, and structured transformations.

Collaborate within agile teams to deliver data projects.

SmartestEnergy is a people-powered energy company, empowering switched on customers, generators and partners to get to net zero. We know the journey to 100% renewable energy is complex, because everyone’s at different stages with unique needs. That’s why our model is flexible, our advice is unbiased, and our innovative retail solutions are realistic. We’re driving the worldwide transition to net zero with offices in the UK, the United States and Australia. As a growing community, we can make the system fairer and more powerful. We can better show the realities and rewards of switching from fossil fuels to clean energy. Connect generators to customer demand. Accelerate the market. Create jobs. And champion greener, smarter energy for generations. SmartestEnergy. Empowering a greener generation.

The purpose of this role is to support the development and maintenance of enterprise data solutions including the Data Lakehouse, Data Warehouse, and Medallion Architecture. You will work alongside senior engineers and architects to build, test, and deploy scalable data pipelines, with a focus on tasks such as ingestion, data validation, and structured transformations.

The role is a handson opportunity for someone early in their data engineering career to gain deep experience with Microsoft’s Azure Data Platform and Microsoft Fabric, working on realworld solutions under guidance and mentorship.

What skillsexperience do I need to be successful?

Substantial experience in a data engineering, data analyst, or junior developer role;
Exposure to Azure Data tools (Data Factory, Synapse, Data Lake, Pyspark SQL);
Understanding of what ETLELT means in practice;
Interest in learning Microsoft Fabric and Medallion Architecture;
Experience working in agile teams or projects (e.g., group projects, internships).

What sets us apart?

Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, youll be part of a dynamic, globallyminded team, with opportunities to explore new markets and make a difference on a global scale.

Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize worklife balance, recognizing that your wellbeing matters. Find out more here.

Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What happens next?
Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 23 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a facetoface meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.
Were committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs. At the bottom of each of our adverts you can find one of our recruitment teams contact details. Please reach out so we can discuss with you further.
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