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- Tasks: Build robust data pipelines that enhance front-office decision-making.
- Company: Leading data consultancy in London with a focus on innovation.
- Benefits: Competitive pay, flexible working hours, and opportunities for skill development.
- Why this job: Make a real impact on data quality and decision-making in finance.
- Qualifications: Experience in data engineering, Python, and Apache Spark/PySpark required.
- Other info: Join a dynamic team and work on impactful projects.
The predicted salary is between 42000 - 60000 £ per year.
A leading data consultancy in London seeks a Mid-Level Data Engineer on contract to build robust data pipelines that support front-office decision-making. This role involves working closely with investment management and technical teams.
Candidates should possess:
- Commercial experience in data engineering
- Proficiency in Python
- Hands-on experience with Apache Spark/PySpark
Emphasizing continuous improvement, the role offers the opportunity to work on impactful projects with visible results on data quality and decision-making.
Data Engineer - Front Office Data Pipelines (6-Month Contract) in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Front Office Data Pipelines (6-Month Contract) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in investment management. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your proficiency in Python and Apache Spark/PySpark in a way that words alone can't.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would tackle real-world problems related to data quality and decision-making. We want you to shine when discussing your hands-on experience!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Front Office Data Pipelines (6-Month Contract) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and Apache Spark/PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant 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 passionate about building data pipelines and how you can contribute to our team. We love seeing candidates who are excited about continuous improvement and impactful projects.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can think critically and improve data quality, so share any specific instances where you made a difference!
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’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Jobster
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals, especially around building data pipelines. Be ready to discuss your experience with Python and Apache Spark/PySpark, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Highlight instances where your work directly improved data quality or decision-making, as this aligns perfectly with what the consultancy is looking for.
✨Understand the Business Context
Familiarise yourself with the investment management sector and how data impacts decision-making. This will help you demonstrate your ability to work closely with both technical teams and business stakeholders during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current data projects and their approach to continuous improvement. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
