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- Tasks: Design and maintain scalable data pipelines using Python and Spark.
- Company: Webgains Global | B Corp, a supportive and innovative workplace.
- Benefits: Private health insurance and a collaborative work environment.
- Other info: Great opportunity for growth in the tech industry.
- Why this job: Join a dynamic team and make an impact with your data skills.
- Qualifications: Proficient in AWS, SQL, and strong communication skills.
The predicted salary is between 40000 - 55000 £ 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 West Bromwich 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 West Bromwich
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python and Spark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your AWS and SQL knowledge, and be ready to discuss how you've tackled data quality and performance issues in the past. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates like you. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines with Python & Spark in West Bromwich
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 you've built scalable pipelines and maintained data quality in your previous roles.
Showcase Your Projects: Include specific examples of projects where you've collaborated with data teams or implemented data governance practices. This helps us understand your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Be sure to mention your adaptability and communication skills!
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 us!
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 that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced while designing data pipelines. Discuss how you ensured data quality and performance, and be ready to explain your thought process. This will demonstrate your analytical skills and adaptability.
✨Communicate Clearly
As a Data Engineer, you'll need to collaborate with various teams. Practice explaining complex technical concepts in simple terms. This will help you stand out as a strong communicator, which is key for the role.
✨Understand Data Governance
Familiarise yourself with data governance practices and be prepared to discuss their importance. Share any experiences you have in implementing these practices, as it shows you understand the bigger picture of data management.