At a Glance
- Tasks: Join a skilled team to deliver innovative data solutions on exciting projects.
- Company: Major consultancy in Leeds with a strong data team and key client wins.
- Benefits: Competitive salary, training opportunities, and a collaborative work environment.
- Why this job: Solve complex data problems and grow your skills in a dynamic setting.
- Qualifications: Solid Python and SQL skills; strong academics in Computer Science or Data.
- Other info: Ideal for those in Leeds looking to kickstart their career in data engineering.
The predicted salary is between 28800 - 48000 £ per year.
If you’re looking to join a highly skilled team in a major Leeds consultancy that has had some key client wins then this is the role for you. They are a major UK player with an established data team and several new projects to get stuck into. You’ll be deployed on to a variety of different and engaging projects with the remit to deliver data focussed solutions. You’ll be part of an ever-expanding team that is becoming a key part of the company’s overall offering. They’re cloud-agnostic and always looking for the right tool to bring the right solution. If you want to solve complex data problems in a close knit team, then you’re the right person for this role.
Key skills and experience needed:
- Solid Python and SQL
- Strong academics in Computer Science or Data
- Any experience or exposure to the following (training provided):
- Data warehousing, relational databases, BigQuery
- Any Kubeflow, Dataflow experience
- Docker
- Multi-cloud experience, Azure used mainly, AWS and/or GCP desirable
- ML experience
This role would suit a Data Engineer/Data Scientist or even ML Engineer with some commercial experience, great academics and a desire to work for a global consultancy. Please only apply if you are in the Leeds area.
Junior Data Engineer in Leeds employer: Zealous Agency
Contact Detail:
Zealous Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend local meetups. Getting to know the team can give you insider info and make your application stand out.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio, make sure to share it. Highlight any projects that showcase your Python, SQL, or cloud experience to catch their eye.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering problems. Think about how you’d tackle them and be ready to discuss your thought process. They’ll love your problem-solving approach!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates like you!
We think you need these skills to ace Junior Data Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your solid Python and SQL skills, as well as any relevant experience in data warehousing or cloud technologies. We want to see how your background aligns with the role, so don’t be shy about showcasing your academic achievements and any projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our team and how you can contribute to solving complex data problems. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Experience: If you’ve got any experience with tools like Docker, Kubeflow, or multi-cloud environments, make sure to mention them! Even if you’ve only had exposure, it’s worth highlighting. We’re keen to see how you can bring the right solutions to our projects.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach your CV and cover letter seamlessly. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Zealous Agency
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects or coursework, as they’re crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data problems you've tackled. Think about how you approached the problem, the tools you used, and the outcome. This will demonstrate your analytical thinking and ability to deliver data-focused solutions.
✨Familiarise Yourself with Cloud Technologies
Since the company is cloud-agnostic, it’s a good idea to have a basic understanding of Azure, AWS, and GCP. Even if you haven’t worked extensively with them, showing that you’re eager to learn and adapt will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it can spark a great conversation!