Data Engineer

Quantum World Technologies Inc.; Remote; GBP 70,000 - 90,000; Full time

Job summary

A leading tech company is seeking a Data Engineer / AWS SW Engineer to join their remote team in the UK. The ideal candidate will have 10 to 12 years of experience, with strong hands-on skills in Scala, AWS, and event-driven architectures. Responsibilities include designing scalable backend services and building event-driven architectures. The role requires collaboration with cross-functional teams and knowledge of Kubernetes for containerized applications. Immediate joiners preferred. Competitive salary and benefits offered.

Qualifications

• 10 to 12 years of experience in software development.
• Strong hands-on experience with Scala and AWS.
• Experience with event-driven architectures and Kubernetes.

Responsibilities

• Design, develop, and maintain scalable backend services on AWS.
• Build event-driven architectures using SQS, Kafka, or similar.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Scala

AWS

Spark Streaming

DevOps

Bash Scripting

Tools

Kubernetes (EKS)

SQL databases

NoSQL databases (DynamoDB, RDS)

Job description

Job Role

Data Engineer / AWS SW Engineer

Job Location

Remote (UK)

Job Type

Full-time permanent

Experience

10 to 12 years

Joining

Immediate joiner preferred

Mandatory Skills

Scala, AWS, Spark Streaming, DevOps, Bash Scripting.

Job Description

• Design, develop, and maintain scalable backend services on AWS.
• Build event-driven architectures using SQS, Kafka, Kinesis, or RabbitMQ.
• Develop high-performance applications using Scala.
• Design and integrate data solutions using SQL and NoSQL databases (e.g., RDS, DynamoDB).
• Build, deploy, and manage containerized applications on Kubernetes (EKS).
• Collaborate with cross-functional teams to deliver resilient, cloud-native solutions.
• Familiarity with Iceberg, and GCP / Big Query exposure.

Must Have

• Strong hands‑on experience with Scala.
• Experience with event‑driven architectures (SQS, Kafka, Kinesis, RabbitMQ). Proficiency in SQL and NoSQL databases (DynamoDB, RDS).
• Experience building and deploying applications on Kubernetes (EKS).
• Bash Scripting.
• Real time with Spark structured streaming.