Data Engineer

Data Engineer

6 Month Contract

Outside IR35

Fully Remote

£350/Day

About the Role

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms that support analytics, reporting, and machine learning initiatives. You will work closely with Analytics, Product, Engineering, and Business teams to ensure reliable and high-quality data is available across the organization.

The ideal candidate has strong SQL and Python skills, experience with modern data stack technologies, and a solid understanding of data modeling, ETL/ELT processes, and cloud infrastructure.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines
• Build and optimize data models and data warehouse architectures
• Integrate data from multiple internal and external sources
• Ensure data quality, integrity, security, and governance standards
• Monitor and troubleshoot data pipeline performance and failures
• Collaborate with analysts, data scientists, and software engineers to support business requirements
• Improve data platform scalability, reliability, and cost efficiency
• Automate manual data processes and workflows
• Document data systems, transformations, and operational procedures
• Support real-time and batch data processing solutions

Required Skills & Experience

• 3+ years of experience in Data Engineering or related roles
• Strong SQL skills and experience optimizing complex queries
• Proficiency in Python for data processing and automation
• Experience with ETL/ELT pipeline development
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP
• Experience with data warehousing technologies such as Snowflake, Redshift, BigQuery, or Synapse
• Familiarity with orchestration tools such as Airflow or Dagster
• Experience with big data processing frameworks such as Spark or Databricks
• Understanding of data modeling concepts and best practices
• Experience working with Git and CI/CD workflows

Preferred Qualifications

• Experience with streaming technologies such as Kafka or Kinesis
• Experience with dbt and modern data stack tools
• Knowledge of infrastructure-as-code tools such as Terraform
• Experience supporting machine learning or AI data workflows
• Familiarity with data governance and security best practices
• Exposure to containerization technologies such as Docker and Kubernetes

Tech Stack

• Python
• SQL
• Airflow
• Spark / Databricks
• Snowflake / BigQuery / Redshift
• AWS / Azure / GCP
• dbt
• Kafka
• GitHub Actions / CI-CD

If this sounds like you, apply now or get in touch via email [email protected]