Senior Data Engineer: Scalable Pipelines & Cloud

GIOS Technology Limited; Sheffield; On-site; GBP 55,000 - 85,000; Full time

Job summary

GIOS Technology Limited is seeking an experienced Data Engineer to design, build, and maintain scalable data infrastructure including data warehouses and data lakes. You will develop robust ETL/ELT pipelines, implement data models, and ensure data quality and governance across cross-functional teams.

The role requires strong Python/Java programming, expertise with cloud data services (AWS/Azure/GCP), and familiarity with Docker/Kubernetes for deployment.

Qualifications

• 5+ years of experience in data engineering, data integration, or related roles.
• Strong proficiency in database management, relational databases, data modelling, and schema design.
• Proficiency in data integration tools, ETL/ELT frameworks, and data pipeline orchestration tools.
• Strong programming skills in Python/Java.
• Understanding of data warehousing concepts, dimensional modelling, and data governance.

Responsibilities

• Design and develop scalable data infrastructure including data warehouses and data lakes.
• Build and optimize ETL/ELT pipelines and data integration processes.
• Design data models and schemas to support analytics requirements.
• Implement data quality checks and data governance practices.
• Identify performance bottlenecks and optimize pipelines for efficiency.
• Ensure data privacy and security with appropriate access controls.
• Collaborate with data scientists, analysts, and engineers to meet data needs.
• Create and maintain technical documentation and monitoring for pipelines.
• Troubleshoot data issues and resolve data quality problems.

Skills

Data integration pipelines

ETL/ELT

Shell/Bash

Data Modelling

Python/Java

Cloud platforms (AWS/Azure/GCP)

Docker

Kubernetes

Data security

Data governance

Analytical skills

Tools

AWS Glue

Azure Data Factory

GCP Dataflow

Job description

GIOS Technology Limited is seeking an experienced Data Engineer to design, build, and maintain scalable data infrastructure including data warehouses and data lakes. You will develop robust ETL/ELT pipelines, implement data models, and ensure data quality and governance across cross-functional teams.

The role requires strong Python/Java programming, expertise with cloud data services (AWS/Azure/GCP), and familiarity with Docker/Kubernetes for deployment.