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- Tasks: Design and implement ETL pipelines while maintaining databases for interactive dashboards.
- Company: Join Capital Economics, a leader in economic analysis and data solutions.
- Benefits: Enjoy good annual leave, health assurance, hybrid working, and professional development.
- Other info: Great opportunity for career growth in a dynamic field.
- Why this job: Shape data infrastructure and enhance your skills in a collaborative environment.
- Qualifications: Proficiency in Python, knowledge of PostgreSQL, and familiarity with SQL required.
The predicted salary is between 30000 - 40000 £ per year.
Capital Economics is hiring a Junior Data Engineer in London. This role involves designing and implementing ETL pipelines, maintaining databases, and supporting the development of interactive dashboards.
Candidates should have:
- Python coding skills
- Knowledge of relational databases like PostgreSQL
- Familiarity with SQL
Benefits include:
- Good annual leave
- Health assurance
- Hybrid working options
- Professional development opportunities
This role offers a collaborative environment to build skills and shape data infrastructure.
Junior Data Engineer: Pipelines for Economic Dashboards employer: Capital Economics
Contact Detail:
Capital Economics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer: Pipelines for Economic Dashboards
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Capital Economics on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or portfolio showcasing your Python coding and ETL pipeline work. This hands-on evidence can really make us stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to databases and SQL. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Junior Data Engineer: Pipelines for Economic Dashboards
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python coding skills and any experience you have with PostgreSQL and SQL. We want to see how you can contribute to our ETL pipelines and interactive dashboards!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Junior Data Engineer role. Mention relevant projects or experiences that align with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data engineering shines through without unnecessary fluff.
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 from our team!
How to prepare for a job interview at Capital Economics
✨Know Your ETL Basics
Make sure you understand the fundamentals of ETL (Extract, Transform, Load) processes. Be ready to discuss how you've implemented these in past projects or how you would approach building them for economic dashboards.
✨Show Off Your Python Skills
Brush up on your Python coding skills before the interview. Prepare to demonstrate your ability to write clean, efficient code and be ready to solve a coding challenge that might come up during the interview.
✨Familiarise Yourself with PostgreSQL
Since this role involves working with relational databases like PostgreSQL, make sure you can talk about your experience with it. Be prepared to answer questions about database design, optimisation, and how you would maintain data integrity.
✨Engage with the Collaborative Spirit
Capital Economics values collaboration, so think about examples from your past experiences where you worked well in a team. Be ready to discuss how you can contribute to a positive team environment while developing interactive dashboards.