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- Tasks: Build and maintain data pipelines using Python and PySpark.
- Company: Innovative firm with a focus on data-driven solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in a dynamic Agile environment.
- Qualifications: Strong understanding of data concepts and JSON manipulation.
- Other info: Join a supportive team that values collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
An innovative firm is seeking a skilled Data Engineer with a robust understanding of data concepts and JSON manipulation. This role involves developing and maintaining data pipelines using Python and PySpark while ensuring data security and compliance with regulations. You will work within a dynamic Agile environment, contributing to impactful data processing projects. If you have a passion for data and problem-solving, this opportunity offers a chance to make significant contributions in a supportive and collaborative team. Join a forward-thinking company that values your expertise and provides a platform for growth and innovation.
Remote Data Engineer: Pipelines, PySpark & Delta Lake in City of London employer: Experis - ManpowerGroup
Contact Detail:
Experis - ManpowerGroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Engineer: Pipelines, PySpark & Delta Lake in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines, PySpark, and JSON manipulation. 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 your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data and eager to join our innovative team. It’s a great way to get noticed!
We think you need these skills to ace Remote Data Engineer: Pipelines, PySpark & Delta Lake in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data! Share specific examples of projects or experiences that highlight your problem-solving skills and how you’ve tackled data challenges in the past.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, PySpark, and data pipelines, and don’t forget to mention any relevant work with JSON manipulation. We want to see how your skills align with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we appreciate clarity just as much as creativity!
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 the role. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Experis - ManpowerGroup
✨Know Your Data Concepts
Make sure you brush up on your data concepts, especially around JSON manipulation. Be ready to discuss how you've used these skills in past projects, as this will show your understanding and practical experience.
✨Showcase Your PySpark Skills
Prepare to talk about your experience with PySpark and how you've developed data pipelines. Consider bringing examples of your work or discussing specific challenges you've overcome using PySpark to demonstrate your expertise.
✨Understand Agile Methodologies
Since the role involves working in a dynamic Agile environment, be prepared to discuss your experience with Agile practices. Share how you've contributed to team projects and adapted to changes quickly, as this will highlight your collaborative spirit.
✨Emphasise Data Security and Compliance
Data security is crucial, so be ready to discuss how you've ensured compliance with regulations in your previous roles. This could include any frameworks or best practices you've followed, which will show that you take data integrity seriously.
