At a Glance
- Tasks: Build modern, cloud-based data solutions and develop enterprise-scale data pipelines.
- Company: Join a dynamic, globally-minded team with a commitment to innovation.
- Benefits: Flexible working, global impact, and a focus on diversity and inclusion.
- Other info: Enjoy hybrid working with opportunities for career growth and global collaboration.
- Why this job: Make a real difference in data engineering while learning from experienced professionals.
- Qualifications: Experience in Data Engineering, strong PySpark and SQL skills, and knowledge of Azure technologies.
The predicted salary is between 60000 - 60000 Β£ per year.
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 experienced 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 prioritise work-life balance, recognising that your well-being matters.
- 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 β 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 localise the future of energy? 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.
Data Engineer 12 month FTC employer: SmartestEnergy Business Limited
As a leading practice organisation in the energy sector, we offer an exceptional work environment that prioritises innovation, diversity, and employee well-being. Our commitment to flexible working allows you to balance your professional and personal life while contributing to impactful global projects. Join us to shape the future of technical accounting and enjoy unparalleled growth opportunities within a supportive and dynamic team.
Contact Details:
SmartestEnergy Business Limited Recruitment Team