At a Glance
- Tasks: Build modern, cloud-based data solutions and develop enterprise-scale data pipelines.
- Company: Join a dynamic, globally-minded tech team with a commitment to innovation.
- Benefits: Flexible working, global impact, and a focus on diversity and inclusion.
- Other info: Enjoy hybrid working with 2 days in the office and 3 days remote.
- 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 £ 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 – 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. 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 Limited
Join a forward-thinking corporate IT team that values innovation and collaboration, where your role as a Project Manager will not only drive significant business change but also contribute to a diverse and inclusive work culture. With flexible working options and a commitment to employee growth, you'll have the opportunity to lead impactful projects while enjoying a healthy work-life balance in a globally-minded environment. This is more than just a job; it's a chance to make a meaningful difference in a supportive and dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 12 month FTC
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like SmartestEnergy Limited before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like SmartestEnergy Limited.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like SmartestEnergy Limited.
We think you need these skills to ace Data Engineer 12 month FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SmartestEnergy Limited, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to SmartestEnergy Limited, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab SmartestEnergy Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at SmartestEnergy Limited
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at SmartestEnergy Limited.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at SmartestEnergy Limited.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at SmartestEnergy Limited.
