Lead Data Engineer

Lead Data Engineer | 6 Month Contract | (Inside IR35) | Hybrid, 2 days pw Edinburgh/Glasgow | Starting ASAP

Day Rate: DOE

About the role:

Harvey Nash's Pub Sec client is seeking an experienced AWS Data Engineer to design, develop, and support scalable data warehouse and cloud-based data solutions. The successful candidate will work within an Agile Scrum team, delivering end-to-end data engineering solutions, ETL pipelines, and analytics platforms that support business intelligence and digital applications.

You will:

• Design, build, and maintain cloud-based data warehouse and data lake solutions on AWS.
• Develop and support ETL/ELT processes for data ingestion, transformation, and integration.
• Build and optimise data pipelines using Python, SQL, Spark, and AWS services.
• Develop serverless and event-driven solutions using AWS Lambda, Step Functions, EventBridge, SQS, and SNS.
• Support and enhance existing data platforms, applications, and integrations.
• Work closely with business and technical stakeholders to deliver solutions in 2-week Agile sprints.
• Create and maintain dashboards, reporting, and monitoring solutions using QuickSight, Power BI, Grafana, and ELK.
• Implement data quality, security, governance, and operational monitoring best practices.

Essential Criteria

Strong experience with AWS data and analytics services including:

• Redshift
• Glue
• S3
• Athena
• Lambda
• Step Functions
• RDS/Aurora
• DynamoDB
• DMS
• EMR
• CloudWatch
• IAM

Strong programming experience in Python and SQL.

Experience with Spark (PySpark preferred) and large-scale data processing.

Experience developing ETL/ELT pipelines and data warehouse solutions.

Knowledge of API integration and microservices architectures.

Experience working in Agile/Scrum delivery environments.

This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland. Please click the link to apply.