Data Engineer

URGENT Data Engineer (Contract) - Fully Remote We are seeking an experienced Data Engineer (GCP & Azure) on a contract basis to support the design, development and optimisation of moder cloud-based data platforms and data products. This is a fully remote opportunity , offering the chance to work within a collaborative Agile environment on large-scale data engineering initiatives. Key Responsibilities Design, build, test and maintain scalable data pipelines and data products. Develop and optimise ETL/ELT processes for integrating data from multiple sources. Design and implement cloud-native data solutions, preferably within Google Cloud Platform (GCP). Support migration of data platforms, pipelines and services from on-premises environments to the cloud. Develop and maintain data models, data warehouses and data integration solutions. Implement CI/CD processes and automated deployment pipelines. Use workflow orchestration tools such as Airflow, Prefect, Dagster or Cloud Composer. Monitor, troubleshoot and optimise platform and pipeline performance. Collaborate with technical and non-technical stakeholders to translate business requirements into robust technical solutions. Contribute to code reviews, testing, technical documentation and software engineering best practices. Ensure compliance with data governance, security and regulatory requirements, including GDPR. Essential Skills & Experience Strong programming skills in Python and SQL (R experience desirable). Experience with relational databases and data warehousing technologies. Proven experience building and supporting production-grade ETL/ELT pipelines. Strong understanding of data modelling principles, including conceptual, logical and physical models. Experience with Git-based version control systems such as GitHub, GitLab or Azure DevOps. Experience working in Agile delivery environments. Experience with cloud platforms, preferably Google Cloud Platform (GCP) . Experience with workflow orchestration tools including Airflow, Prefect, Dagster or Cloud Composer. Knowledge of containerisation technologies such as Docker. Experience working with large-scale datasets and distributed processing technologies such as Spark, Dataproc and BigQuery. Understanding of DevOps and DataOps principles. Experience integrating systems through APIs and data services. Strong troubleshooting and performance optimisation skills. Desirable Skills Experience with metadata management, data catalogues and lineage tools. Experience implementing data quality, profiling and validation frameworks. GCP Data Engineer and/or GCP Architect certification. Experience within highly regulated or data-driven environments. Qualifications Degree in Computer Science, Data Engineering, Software Engineering or a related technical discipline, or equivalent commercial experience. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates