At a Glance
- Tasks: Build and maintain data pipelines while collaborating with investment and operations teams.
- Company: Join a dynamic team at Selby Jennings focused on data and AI-driven initiatives.
- Benefits: Gain significant ownership and exposure to key stakeholders from day one.
- Other info: Exciting opportunities for growth in a fast-paced environment.
- Why this job: Dive into the world of data engineering and AI applications in a hands-on role.
- Qualifications: 1-3 years of data engineering experience with strong Python and SQL skills.
The predicted salary is between 70000 - 90000 £ per year.
Selby Jennings is seeking a junior data engineer in London to join a dynamic team focused on data and AI-driven initiatives. The role offers a hands-on approach to building and maintaining data pipelines, partnering with investment and operations teams.
Candidates should have 1-3 years of experience in data engineering, strong Python and SQL skills, and an interest in AI applications. This role provides significant ownership and exposure to key stakeholders from day one.
Junior Data Engineer: AI/LLM & Data Pipelines (Azure) employer: Selby Jennings
At Selby Jennings, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our commitment to employee growth is evident through hands-on projects that allow you to take ownership and engage with key stakeholders from the outset, while our focus on AI-driven initiatives ensures that you are at the forefront of technological advancements. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer: AI/LLM & Data Pipelines (Azure)
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Selby Jennings when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Selby Jennings.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Selby Jennings.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Selby Jennings’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer: AI/LLM & Data Pipelines (Azure)
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Selby Jennings, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Selby Jennings aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Selby Jennings
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
