Data Engineer 12 month FTC

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Entry level
Energy • Utilities • Renewable Energy
The Role
Develop and maintain enterprise-scale cloud data pipelines using Microsoft Fabric and Azure Data Platform technologies. Support ETL/ELT processes across Medallion Architecture, data lakehouse and warehouse solutions, data quality, governance, testing, reporting, and Power BI integration. The role involves PySpark, SQL, Python, Azure DevOps, CI/CD, code reviews, Agile collaboration, and continuous learning under the guidance of experienced engineers and architects.
Summary Generated by Built In

Join our growing team as a Data Engineer and play a key role in building modern, cloud-based data solutions that enable better business decision-making. This is an excellent opportunity for someone experience and who is passionate about data, eager to learn, and excited to work with Microsoft's Azure Data Platform and Microsoft Fabric. You'll work on developing enterprise-scale data pipelines, supporting Data Lakehouse and Data Warehouse solutions, and working with modern data architectures under the guidance of experienced engineers and architects.

In this role, you'll contribute to the development, testing, and maintenance of reliable data pipelines, support ETL processes across the Medallion Architecture, and help ensure data quality, governance, and reporting capabilities. You will be familiar with Azure DevOps, CI/CD practices, Spark notebooks, and Power BI and participate in collaborative code reviews, design sessions, and continuous learning opportunities.

What skills/experience do I need to be successful?

  • Experienced in a Data Engineering, Data Analytics, or Software Development role, with a good understanding of ETL/ELT concepts and data integration principles;

  • Very strong PySpark for developing scalable data pipelines and data transformations and SQL skills (T-SQL and/or Spark SQL) and working knowledge of Python;

  • Hands-on experience with Microsoft Fabric and/or Azure Data Platform technologies, including Data Factory, Synapse, Lakehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Power BI integration;

  • Understanding of modern data engineering practices, including Medallion Architecture (Bronze/Silver/Gold), CI/CD, Azure DevOps, Agile/Scrum methodologies, testing, and clean code principles;

  • Knowledge of enterprise data warehousing, semantic models, data quality, security, and governance, with a willingness to learn and apply emerging Microsoft Fabric capabilities such as Real-Time Intelligence.

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 does hybrid working mean to us?

Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.

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.

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Skills Required

  • Experience in a data engineering, data analytics, or software development role, with understanding of ETL/ELT and data integration principles.
  • Very strong PySpark skills for scalable data pipelines and transformations.
  • Strong SQL skills, including T-SQL and/or Spark SQL.
  • Working knowledge of Python.
  • Hands-on experience with Microsoft Fabric and/or Azure Data Platform technologies.
  • Experience with Azure Data Factory, Synapse, Lakehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Power BI integration.
  • Understanding of Medallion Architecture, CI/CD, Azure DevOps, Agile/Scrum, testing, and clean code principles.
  • Knowledge of enterprise data warehousing, semantic models, data quality, security, and governance.
  • Willingness to learn and apply emerging Microsoft Fabric capabilities, including Real-Time Intelligence.
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The Company
837 Employees
Year Founded: 2001

What We Do

SmartestEnergy is a B2B renewable-energy company and energy retail partner backed by Marubeni Corporation. It supplies flexible, reliable electricity solutions to businesses and communities, including fixed, renewable and structured energy products. The company also supports independent generators through trading, origination and routes to market, helping customers and partners understand and achieve net zero while enabling smarter, more sustainable energy decisions across the UK, US and Australia.

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