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- Tasks: Design and maintain scalable data pipelines using Python and Spark.
- Company: Join Webgains Global, a B Corp with a commitment to sustainability.
- Benefits: Enjoy private health insurance and a supportive work environment.
- Other info: Great opportunity for growth in a collaborative and innovative setting.
- Why this job: Make an impact by ensuring data quality and performance in a dynamic team.
- Qualifications: Proficient in AWS, SQL, and strong communication skills required.
The predicted salary is between 40000 - 50000 £ per year.
Webgains Global | B Corp is seeking a Data Engineer in the West of England. In this role, you will design and maintain data pipelines using Apache Spark and AWS Glue, ensuring data quality and performance. You will collaborate with data teams, develop Python applications, and implement data governance practices.
The ideal candidate is proficient in AWS and SQL, adaptable, and a strong communicator.
Benefits include private health insurance and a supportive work environment.
Data Engineer: Build Scalable Pipelines with Python & Spark in England employer: Webgains Global | B Corp
Contact Detail:
Webgains Global | B Corp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines with Python & Spark in England
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Webgains Global on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your data pipelines using Python and Spark. This hands-on demonstration can really set us apart from the crowd.
✨Tip Number 3
Brush up on your communication skills! Since collaboration is key in this role, practice explaining complex data concepts in simple terms. We want to show that we can work well with others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how we meet the specific needs of the Data Engineer role.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines with Python & Spark in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Spark, and AWS. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team at Webgains. Keep it engaging and personal!
Showcase Your Communication Skills: As a Data Engineer, you'll need to collaborate with various teams. Make sure your application reflects your ability to communicate complex ideas clearly. We love candidates who can bridge the gap between tech and non-tech folks!
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 from our team!
How to prepare for a job interview at Webgains Global | B Corp
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Apache Spark, AWS Glue, and Python. Be ready to discuss how you've used these technologies in past projects. It’s a great way to show that you’re not just familiar with them but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced while designing data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your analytical thinking and adaptability, which are key for this role.
✨Communicate Clearly
As a Data Engineer, you'll need to collaborate with various teams. Practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders, which is crucial for effective teamwork.
✨Understand Data Governance
Familiarise yourself with data governance practices and be prepared to discuss their importance. Highlight any experience you have in ensuring data quality and compliance. This will show that you understand the bigger picture and are committed to maintaining high standards in your work.