AWS Data Engineer at Valcon Group UK, London, 3 Months, £500 per day

We're looking for an experienced AWS-focused Data Engineer to join our growing Data & Analytics team. This role will play a key part in designing, building, and maintaining scalable data pipelines and cloud-based data platforms that support analytical and Business Intelligence needs across the organisation.

You'll work closely with data scientists, analysts, and business stakeholders to enable high-quality, reliable data delivery - with a focus on efficiency, automation, and best practices in a financial services environment.

Key Responsibilities

• Design, build, and maintain data pipelines and ETL/ELT processes on AWS using tools such as Glue, Lambda, Step Functions, and Airflow.

• Develop and optimise data models, data lakes, and warehouses (eg Amazon S3, Redshift, Snowflake).

• Ensure data quality, integrity, and governance in line with regulatory and compliance standards common to financial services.

• Work collaboratively with data analysts, data scientists, and software engineers to deliver robust, high-performance data solutions.

• Implement monitoring, automation, and alerting for data workflows using AWS native and third-party tools.

• Optimise data storage and retrieval for performance and cost efficiency.

• Stay current with emerging AWS services and technologies, contributing to ongoing platform evolution.

• Support data security and privacy initiatives, ensuring adherence to GDPR, ISO, and internal risk policies.

Skills & Experience

Essential:

• Proven experience as a Data Engineer working on cloud data platforms, preferably AWS.

• Hands-on expertise with AWS services such as Glue, S3, Redshift, Lambda, EMR, Kinesis, and IAM.

• Strong SQL and Python skills for data manipulation, transformation, and automation.

• Experience building and maintaining ETL/ELT pipelines and data models in large-scale environments.

• Understanding of CI/CD principles and Infrastructure as Code (IaC) using Terraform or CloudFormation.

• Familiarity with data governance, data quality, and data security best practices.

• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Desirable:

• Experience in the financial services industry, including exposure to regulated data environments and risk/audit processes.

• Knowledge of data warehousing technologies such as Snowflake, Databricks, or Redshift Spectrum.

• Familiarity with stream processing (Kafka, Kinesis, Spark Streaming).

• Understanding of modern data architecture concepts (data mesh, data lakehouse, etc.).

• Exposure to BI tools such as Tableau, Power BI, or QuickSight.

Why Join Us

• Opportunity to work on cutting-edge AWS data technologies in a highly regulated, data-driven industry.

• Collaborative and forward-thinking data team with a strong culture of innovation.

• Competitive compensation package, including bonus and benefits.

• Professional development opportunities and AWS certification support.

• Flexible hybrid or remote working options.