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- Tasks: Build and optimise data pipelines for risk analytics in a fast-paced trading environment.
- Company: Eaglecliff Recruitment, a leader in innovative data solutions.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and governance.
- Why this job: Join a dynamic team and make an impact in the world of data and trading.
- Qualifications: Proficient in Python, SQL, and Azure technologies, especially Apache Spark.
The predicted salary is between 50000 - 65000 £ per year.
Eaglecliff Recruitment is seeking a Data Engineer based in West London to enhance risk analytics workflows within a dynamic trading environment.
Responsibilities include:
- Building, managing, and optimizing data pipelines leveraging Microsoft Fabric and Azure services.
Required skills encompass:
- Strong proficiency in Python, SQL, and Azure data technologies, specifically with Apache Spark.
Collaboration with various teams to ensure quality and governance of data is essential. This full-time role offers an attractive salary and benefits package.
Data Platform Engineer — Risk Analytics & Commodities employer: Eaglecliff Recruitment
Contact Detail:
Eaglecliff Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer — Risk Analytics & Commodities
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure and data technologies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and Apache Spark. This is your chance to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of data pipelines and risk analytics. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Platform Engineer — Risk Analytics & Commodities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Azure data technologies. We want to see how your skills align with the role of a Data Platform Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk analytics and how your background makes you a perfect fit for our dynamic trading environment. Let us know what excites you about working with us!
Showcase Collaboration Skills: Since collaboration is key in this role, mention any experiences where you’ve worked with different teams to ensure data quality and governance. We love seeing how you can work well with others to achieve common goals!
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 in through our own platform!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Azure data technologies. Be ready to discuss how you've used these skills in past projects, especially with Apache Spark. The more specific examples you can provide, the better!
✨Understand the Trading Environment
Familiarise yourself with risk analytics workflows and how they apply to a trading environment. This will show that you understand the context of the role and can hit the ground running.
✨Collaboration is Key
Since the role involves working with various teams, be prepared to talk about your experience in collaborative projects. Highlight any instances where you ensured data quality and governance, as this will resonate well with the interviewers.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategies and how they leverage Microsoft Fabric and Azure services. This not only shows your interest but also helps you gauge if the company is the right fit for you.