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- Tasks: Design and engineer data solutions using AWS services for large-scale projects.
- Company: Join a leading IT Consultancy known for innovation and excellence in data engineering.
- Benefits: Enjoy a competitive salary, permanent benefits, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data engineering with cutting-edge technology.
- Qualifications: Experience with AWS tools, programming languages, and CI/CD technologies is essential.
- Other info: Candidates must be eligible for SC Clearance.
The predicted salary is between 60000 - 100000 £ per year.
AWS Data Engineer – Permanent – UK Wide Package: £60,000 – £90,000 (D.O.E) per annum + 6% contributory pension, UNLIMITED external certification training budget, health insurance, life assurance, and more! Location: UK-Wide offices | Hybrid (Onsite/Remote flexibility) Our key Data Consultancy client has huge demand for AWS Data Engineers to join their team due to a number of greenfield Cloud data Platform projects kicking off! If you\’re passionate about harnessing the power of Cloud technologyto design, develop, and optimise data pipelines, this is your opportunity to thrive in a role where innovation meets impact. Your Role As an AWS Data Engineer, you\’ll play a key part in transforming data into actionable insights: Design & Build Data Pipelines : Craft resilient pipelines to ingest, process, and transform data for analytics and reporting. Implement ETL/ELT Workflows : Seamlessly migrate data to Data Warehouses, Data Lakes, and Lake Houses using cutting-edge AWS and open-source tools. Adopt DevOps Excellence : Leverage CI/CD, Infrastructure as Code (IaC), and automation to streamline and elevate our data engineering practices. What You\’ll Bring to the Table We\’re looking for AWS Data Engineers with hands-on experience and a knack for solving complex data challeng…
AWS Data Engineer employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Data Engineer
✨Tip Number 1
Familiarize yourself with the specific AWS services mentioned in the job description, such as Athena, Redshift, and Glue. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Highlight any experience you have with CI/CD technologies like Git and Jenkins. Being able to demonstrate your understanding of these tools and how you've used them in past projects can give you an edge.
✨Tip Number 3
If you have experience with NoSQL databases like DynamoDB or Neo4j, be sure to mention it. This role values a broad understanding of various database technologies, so showcasing your versatility is key.
✨Tip Number 4
Prepare to discuss your experience with building and deploying solutions to the cloud. Be ready to share specific examples of projects where you utilized AWS CloudFormation or Terraform for provisioning.
We think you need these skills to ace AWS Data Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your hands-on experience with AWS services and tools like Athena, Redshift, and Glue. Provide specific examples of projects where you developed ETL/ELT data pipelines.
Showcase Technical Skills: Clearly list your programming skills in Java, Scala, Python, and Spark. Mention any experience with CI/CD technologies such as Git and Jenkins, as well as cloud provisioning tools like Terraform.
Demonstrate Problem-Solving Abilities: Include examples that showcase your ability to solve complex data engineering problems. This could involve discussing how you built and deployed solutions on AWS or Google Cloud.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing to ensure your application stands out and demonstrates your fit for the role.
How to prepare for a job interview at 83zero
✨Showcase Your AWS Expertise
Make sure to highlight your hands-on experience with AWS services like Athena, Redshift, and Glue. Be prepared to discuss specific projects where you utilized these tools, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your ETL/ELT Skills
Since the role involves developing enterprise-grade ETL/ELT data pipelines, come ready to explain your approach to designing and implementing these pipelines. Share examples of how you've optimized data flow and ensured data quality in previous roles.
✨Familiarize Yourself with CI/CD Practices
The company values experience with CI/CD technologies. Be prepared to discuss your familiarity with tools like Git, Jenkins, and Terraform. Highlight any specific instances where you implemented CI/CD processes to improve deployment efficiency.
✨Understand Cloud Security and Compliance
Since this role requires SC Clearance, it's crucial to demonstrate your understanding of cloud security best practices. Discuss how you've managed IAM roles, data protection, and compliance in your previous projects to show that you take security seriously.
