At a Glance
- Tasks: Build and maintain production-grade data pipelines using cutting-edge tech.
- Company: Established consultancy with a strong presence in Financial Services.
- Benefits: Competitive pay up to £800 per day and potential for contract extension.
- Other info: Flexible working with 3 days onsite in London.
- Why this job: Join a dynamic team and work on impactful projects in a regulated environment.
- Qualifications: Experience with Python, SQL, Spark, Airflow, Kafka, and AWS required.
The predicted salary is between 57600 - 86400 € per year.
Oliver Bernard are partnering again with a well-established consultancy delivering into Financial Services. They’re looking to bring in experienced Data Engineers on an initial contract.
Core tech stack:
- Strong hands-on experience across Python, SQL, Spark, Airflow, Kafka and AWS.
3 days per week onsite in London. Initial 6 month engagement with strong likelihood of extension.
If you’ve built and maintained production-grade data pipelines in AWS environments and are comfortable working in regulated settings, this is worth a conversation.
Data Engineer (Up to £800 per day) employer: Oliver Bernard
As a leading consultancy in the Financial Services sector, we offer Data Engineers an exceptional opportunity to work with cutting-edge technology in a dynamic and collaborative environment. Our London office fosters a culture of innovation and professional growth, providing access to ongoing training and development while enjoying the benefits of a competitive contract rate and flexible working arrangements. Join us to make a meaningful impact in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Up to £800 per day)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services. A personal recommendation can make all the difference when you're trying to land that Data Engineer gig.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects with Python, SQL, and AWS. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your experience with data pipelines and tools like Spark and Airflow. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities for Data Engineers, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Engineer (Up to £800 per day)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, Spark, Airflow, Kafka, and AWS. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Engineer role. Share specific examples of your work in building and maintaining data pipelines, especially in AWS environments.
Showcase Your Problem-Solving Skills:In your application, highlight any challenges you've faced in regulated settings and how you overcame them. We love seeing candidates who can think on their feet and adapt to complex situations!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, Spark, Airflow, Kafka, and AWS. Brush up on your hands-on experience with these technologies, as you’ll likely be asked to discuss specific projects where you’ve used them.
✨Showcase Your Data Pipeline Experience
Prepare to talk about the production-grade data pipelines you've built and maintained. Be ready to explain the challenges you faced and how you overcame them, especially in AWS environments.
✨Understand the Financial Services Sector
Since this role is within a consultancy for financial services, it’s crucial to have a grasp of the industry’s regulations and standards. Familiarise yourself with any relevant compliance issues that may affect data engineering.
✨Be Ready for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in regulated settings. Think of examples from your past work where you had to make critical decisions under pressure.
