At a Glance
- Tasks: Support the development of data solutions and build scalable data pipelines.
- Company: Join a global team at SmartestEnergy, focused on digitising and decarbonising energy.
- Benefits: Enjoy flexible working options and a commitment to work-life balance.
- Other info: Application process is human-reviewed, ensuring a personal touch.
- Why this job: Gain hands-on experience with Azure Data tools and work in a diverse, inclusive environment.
- Qualifications: Experience in data engineering or analysis; familiarity with Azure tools and agile projects.
The predicted salary is between 24000 - 39000 £ per year.
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).
- 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.
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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Department IT & Change Locations SmartestEnergy Limited - London office - Canary Wharf Remote status Fully Remote Yearly salary £28,000 - £39,000 Employment type Contract #J-18808-Ljbffr
Junior Data Engineer - 12 month FTC in London employer: SmartestEnergy
SmartestEnergy Limited is an exceptional employer that offers a unique opportunity for Junior Data Engineers to thrive in a supportive and dynamic environment. With a commitment to flexible working, you can enjoy the freedom to work remotely while being part of a diverse team that values inclusion and innovation. The company prioritises employee growth through mentorship and hands-on experience with cutting-edge technologies like Microsoft Azure, making it an ideal place for those looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer - 12 month FTC in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SmartestEnergy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Engineer - 12 month FTC at SmartestEnergy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SmartestEnergy.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Engineer - 12 month FTC at SmartestEnergy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Engineer - 12 month FTC in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SmartestEnergy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SmartestEnergy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SmartestEnergy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SmartestEnergy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
