At a Glance
- Tasks: Design and implement software systems while collaborating with data experts.
- Company: Join a leading tech firm focused on big data solutions.
- Benefits: Competitive salary with annual increases, plus management support and development opportunities.
- Why this job: Make an impact by transforming data into actionable insights for businesses.
- Qualifications: Bachelor's degree in IT or related field; teamwork and communication skills are essential.
- Other info: Exciting projects with opportunities for travel and career growth.
The predicted salary is between 28800 - 48000 £ per year.
Location: UK
Experience: 2–5 years
Education: Bachelors in Science (IT/Computer Science/Engineer)
Employment Type: Full-Time
UK based candidates only.
Responsibilities
- Designing and implementing the systems of the software.
- Load operations by using Extract Transform (ETL Process).
- Developing systems for collecting and processing the data.
- Researching new methods for gaining valuable data and improving its quality.
- Developing structured data solutions by using multiple programming languages and tools.
- Developing data architecture that meets the needs of the business.
- Collaborating with other team members, data analysts, and data scientists.
- Mining data from various resources to construct efficient business models.
Soft Skills
- Developing, maintaining, testing, analysing, and evaluating a company's data.
- Gathering large amounts of data from multiple sources.
- Ensuring data pipelines are scalable, secure, and able to serve multiple users.
- Converting structured, unstructured, and semi-structured data into actionable insights for a business.
Educational Criteria
- Bachelor's degree in computer science, Maths, IT, statistics or physics related field.
- You should be entitled to work in the UK with legal work authorization status.
- Must be willing to travel within the UK as per project/client requirements.
- Excellent communication skills and teamwork skills.
What we offer
While we offer an unrivalled salary, you will also have the opportunity to earn a 5-15% increase each year on top (national average is 2.5%). You will gain access to our management support network and develop capabilities to think creatively, design solutions, and gain vital work experience.
Junior Big Data Developer in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Big Data Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes or data architecture. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common big data concepts and tools. Practice explaining your past projects and how they relate to the role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are eager to join our team. Plus, it makes tracking your application easier for us.
We think you need these skills to ace Junior Big Data Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Big Data Developer role. Highlight relevant experience, especially with ETL processes and data architecture. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention the programming languages and tools you’re familiar with. We’re keen on seeing how you’ve used them in past projects. Be specific about your contributions and outcomes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at Jobster
✨Know Your Tech Stack
Make sure you’re familiar with the programming languages and tools mentioned in the job description. Brush up on your ETL processes and be ready to discuss how you've used them in past projects. This shows you’re not just a fit on paper but also in practice.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in previous roles. Think about specific instances where you improved data quality or developed efficient data solutions. This will demonstrate your analytical skills and ability to think critically.
✨Collaboration is Key
Since the role involves working with data analysts and scientists, be ready to talk about your teamwork experiences. Share stories that highlight your communication skills and how you’ve successfully collaborated on projects to achieve common goals.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company’s data architecture or their approach to new data methods. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.