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For Companies At a Glance
- Tasks: Design and implement data pipelines to ensure data integrity and accessibility.
- Company: Join Athsai, a forward-thinking company in Leeds, shaping the future of data engineering.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Be part of an innovative team making a real impact in the tech world.
- Qualifications: Proficient in PySpark, AWS, Python, SQL, and ETL pipeline design.
- Other info: EU work permit required; ideal for tech-savvy individuals eager to grow.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
The Data Engineer will play a crucial role in designing and implementing robust data pipelines, ensuring the integrity and accessibility of data across various platforms.
Required Skills
- Proficient in PySpark and AWS
- Strong experience in designing, implementing, and debugging ETL pipelines
- Expertise in Python, PySpark, and SQL
- In-depth knowledge of Spark and Airflow
- Experience in designing data pipelines using cloud-native services on AWS
- Extensive knowledge of AWS services
- Experience in deploying AWS resources using Terraform
- Hands-on experience in setting up CI/CD workflows using GitHub Actions
Preferred Skills
- Experience with additional cloud platforms
- Familiarity with data governance and compliance standards
Data Engineer AWS employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer AWS
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with AWS. Attend local meetups or online webinars to connect with others and learn about potential job openings.
✨Tip Number 2
Showcase your hands-on experience with AWS services by contributing to open-source projects or creating your own projects. This practical experience can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the latest trends and updates in data engineering, particularly around PySpark and ETL processes. Being knowledgeable about current technologies can impress potential employers during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges related to Python, SQL, and data pipeline design. Use platforms like LeetCode or HackerRank to sharpen your skills before applying.
We think you need these skills to ace Data Engineer AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PySpark, AWS, and ETL pipelines. Use specific examples to demonstrate your expertise in Python, SQL, and cloud-native services.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the role at Athsai. Mention your experience with Terraform and CI/CD workflows to stand out.
Showcase Relevant Projects: If you have worked on projects involving data pipelines or AWS services, include them in your application. Describe your role and the impact of your work to give the hiring team insight into your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in PySpark, AWS, and SQL. Bring examples of past projects where you designed and implemented ETL pipelines, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Company’s Data Needs
Research Athsai and understand their data requirements and challenges. This knowledge will allow you to tailor your responses and show how your skills can directly benefit their operations.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss specific scenarios where you had to debug an ETL pipeline or optimise a data workflow, highlighting your thought process and solutions.
✨Familiarise Yourself with CI/CD Practices
Since the role involves setting up CI/CD workflows using GitHub Actions, be ready to explain your experience with these practices. Discuss any relevant projects where you implemented CI/CD, focusing on the benefits it brought to the development process.
