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- Tasks: Build scalable data pipelines and modernise data platforms using cutting-edge technologies.
- Company: Leading tech recruitment company with a focus on innovation.
- Benefits: Competitive pay, flexible working hours, and opportunities for skill enhancement.
- Why this job: Join a large marketplace impacting millions and drive improvements in data quality.
- Qualifications: Strong Scala development experience and proficiency with Databricks and Airflow.
- Other info: 6-month contract role with potential for future opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology recruitment company is seeking a Data Engineer for a 6-month contract role in the London area. This position focuses on building scalable data pipelines and modernizing data platforms, requiring strong Scala development experience and proficiency with Databricks and Airflow. Join a large marketplace that serves millions of users daily and help drive improvements in data quality and performance.
Senior Data Engineer - Spark & Lakehouse (6m Contract) ASAP employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Spark & Lakehouse (6m Contract) ASAP
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to referrals or insider info about job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Scala, Databricks, and Airflow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building scalable data pipelines – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer - Spark & Lakehouse (6m Contract) ASAP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Scala development experience and any work you've done with Databricks and Airflow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to building scalable data pipelines. Let us know what makes you a great fit for our team.
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled challenges in data engineering. We love seeing how you approach problems and drive improvements in data quality and performance.
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. Don’t miss out!
How to prepare for a job interview at Signify Technology
✨Know Your Tech Stack
Make sure you’re well-versed in Scala, Databricks, and Airflow. Brush up on your knowledge of building scalable data pipelines and modernising data platforms. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles and how you overcame them. Think about scenarios where you improved data quality or performance. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand the Company’s Marketplace
Research the company’s marketplace and its user base. Knowing how they serve millions of users daily can help you tailor your answers to show how you can contribute to their goals. It also shows that you’re genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data challenges or future projects. This not only shows your enthusiasm but also gives you a better understanding of what your role would entail.
