Cloud Data Engineer

ELLIOTT MOSS CONSULTING PTE. LTD.; Penarth; On-site; GBP 70,000 - 90,000; Full time

Job summary

A consulting firm based in the UK is seeking a Cloud Data Engineer to design and maintain scalable cloud-based data platforms. This role involves collaborating with teams to implement data solutions using AWS, Databricks, and Informatica IDMC. The ideal candidate has at least 8 years of experience in data engineering, expertise in cloud services, and strong analytical skills. The position offers an opportunity to work on healthcare analytics and digital initiatives.

Qualifications

• Minimum 8 years of relevant experience in data engineering.
• Hands-on experience with AWS services, Databricks, and/or Informatica IDMC.
• Strong knowledge of SQL and NoSQL databases.

Responsibilities

• Design and implement cloud-based data storage solutions.
• Develop, manage, and optimize data pipelines.
• Integrate data from multiple internal and external sources.
• Build and maintain ETL/ELT processes using Databricks.
• Monitor and optimize data workflows and query performance.

Skills

AWS services

Databricks

Informatica IDMC

Python

SQL

NoSQL databases

Data modeling

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Tools

AWS Glue

AWS Lambda

AWS Step Functions

Databricks (Spark)

Tableau

Docker

Kubernetes

Job description

Job Description

The Cloud Data Engineer is responsible for designing, building, and maintaining scalable, secure, and governed cloud-based data platforms. The role involves working with AWS, Databricks, and Informatica IDMC to support data ingestion, transformation, analytics, and reporting while ensuring data quality, security, and compliance.

The candidate will collaborate with cross-functional teams to deliver reliable data solutions that support healthcare analytics and digital transformation initiatives.

Key Responsibilities

• Design and implement cloud-based data storage solutions including data lakes, data warehouses, and databases using AWS services such as Amazon S3, RDS, Redshift, and DynamoDB, and Databricks Delta Lake.
• Develop, manage, and optimize data pipelines using AWS Glue, AWS Lambda, AWS Step Functions, Databricks, and Informatica IDMC.
• Integrate data from multiple internal and external sources while ensuring data quality, governance, and compliance.
• Build and maintain ETL/ELT processes using Databricks (Spark) and Informatica IDMC.
• Monitor and optimize data workflows and query performance to meet scalability and performance requirements.
• Implement data security controls, encryption, and compliance with data protection regulations.
• Automate data ingestion, transformation, and monitoring processes.
• Maintain documentation for data architecture, pipelines, and configurations.
• Collaborate with data scientists, analysts, and software engineers to deliver data solutions.
• Troubleshoot and resolve data-related issues to ensure data availability and integrity.
• Optimize cloud resource usage to control operational costs.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• Minimum 8 years of relevant experience in data engineering.
• Hands‑on experience with AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in Python, Java, or Scala.
• Strong knowledge of SQL and NoSQL databases.
• Experience with data modeling, schema design, and complex data transformations.
• Strong analytical, problem‑solving, and communication skills.

Preferred Skills

• Experience with PySpark on Databricks.
• Knowledge of data governance and data cataloging tools, especially Informatica IDMC.
• Familiarity with Tableau or other data visualization tools.
• Experience with Docker and Kubernetes.
• Understanding of DevOps and CI/CD pipelines.
• Experience using Git or other version control systems.