Company: 83ZERO LIMITED
Job Type: Permanent
Salary: £60000 - £70000 per annum + Bonus, Pension, PH, LA
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 challenges.
- AWS Expertise: Proven experience with services like AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, and AWS Step Functions.
- Programming Proficiency: Strong skills in Python, Java, or Scala.
- Data Storage Know-How: Experience with AWS Redshift, RDS, Hadoop, and Data Lake architectures.
- DevOps Mindset: Familiarity with CI/CD, IaC, and other DevOps tools and methodologies.
To apply please click the "Apply" button and follow the instructions.
For a further discussion, please contact James Money on
83zero is a boutique Tech & Data Recruitment Consultancy based within the UK. We provide high quality interim and permanent Tech & Data professionals.