Data Engineer

WRK digital; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services company in the United Kingdom is seeking two Contract Data Engineers to design, build, and maintain secure, scalable data pipelines on AWS cloud. This role involves extensive work with large-scale transactional and customer data, requiring hands-on expertise in AWS services and solid experience in financial data engineering. If you have strong problem-solving skills and the ability to thrive in a fast-paced environment, this role offers a great opportunity to make an impact.

Qualifications

• Proven experience as a Data Engineer, preferably in financial services or regulated industries.
• Strong proficiency with AWS cloud services (S3, Glue, Redshift, Lambda, Athena, EMR).
• Hands-on experience with Python, SQL, and Spark for ETL and analytics.
• Hands-on experience with Python, SQL, and Spark for ETL and analytics.
• Knowledge of data warehousing, data lakes, and large-scale data processing.
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Responsibilities

• Build and maintain ETL/ELT pipelines for transactional, customer, and operational data.
• Design and implement data architectures and models optimised for analytics and reporting.
• Ensure data quality, governance, and regulatory compliance (e.g., PCI DSS, GDPR).
• Ensure data quality, governance, and regulatory compliance (PCI DSS, GDPR).

Skills

AWS cloud services

Python

SQL

Spark

ETL/ELT pipelines

Data governance

Data warehousing

Problem solving

Tools

AWS Glue

Amazon Redshift

RDS

AWS Lambda

AWS Athena

EMR

Job description

Proud to be partnered with a Retail Financial Services organisation who are seeking two Contract Data Engineers to design, build, and maintain secure, scalable data pipelines on AWS cloud. You will work with large-scale transactional and customer data, ensuring data integrity, performance, and compliance. This role requires hands‑on expertise in AWS services and strong experience in financial data engineering.

Key Responsibilities

• Build and maintain ETL/ELT pipelines for transactional, customer, and operational data.
• Design and implement data architectures and models optimised for analytics and reporting.
• Work extensively with AWS services, including:
• AWS Glue – ETL processing
• Amazon Redshift / RDS – data warehousing
• AWS Lambda – serverless transformations
• AWS Athena / EMR – analytics and big data processing
• Ensure data quality, governance, and regulatory compliance (e.g., PCI DSS, GDPR).

Required Skills & Experience

• Proven experience as a Data Engineer, preferably in financial services or highly regulated industries.
• Strong proficiency with AWS cloud services (S3, Glue, Redshift, Lambda, Athena, EMR).
• Hands‑on experience with Python, SQL, and Spark for ETL and analytics.
• Knowledge of data warehousing, data lakes, and large-scale data processing.
• Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.