Junior Data Engineer - 12 month FTC
London, United Kingdom
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SmartestEnergy
Switch onto net zero with a people-powered energy company, helping businesses buy, sell and trade energy with confidence.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 hands-on opportunity for someone early in their data engineering career to gain deep experience with Microsoft’s Azure Data Platform and Microsoft Fabric, working on real-world solutions under guidance and mentorship.
What skills/experience 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 ETL/ELT 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, you'll be part of a dynamic, globally-minded 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 work-life balance, recognizing that your well-being 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 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face 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.
We're 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Data pipelines Data warehouse ELT Engineering ETL Pipelines Privacy PySpark SQL
Perks/benefits: Career development Flex hours
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