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 pgeorge@pg-rec.com