This role involves designing, building, and maintaining scalable data pipelines using Azure Data Factory and Snowflake. The Data Engineer will work on ETL/ELT processes, data modelling, and cloud data platform development, ensuring data quality and performance. Collaboration with business stakeholders and technical teams is key.
Design and build scalable data pipelines and cloud-native architectures, focusing on migration from on-premises to GCP. Implement ETL/ELT workflows using Python, SQL, and orchestration tools like Airflow, with strong emphasis on DataOps, data modeling, and compliance. Work within Agile teams to deliver robust data solutions and ensure data quality, lineage, and governance.
As a Principal Data Engineer at Genomics England, you will provide senior technical leadership, shape strategic and technical direction, and design secure, scalable data platforms. You will collaborate with cross-functional teams to solve complex data engineering challenges and mentor engineers to grow their expertise.
The Data Architect role involves defining and implementing technical data architecture patterns for a major data transformation programme. Responsibilities include working with data and platform engineers to create buildable solutions for data ingestion, processing, storage, integration, and consumption, ensuring security, data quality, and operational support.
Design and build scalable data pipelines using Databricks, PySpark, and Delta Lake while shaping enterprise data architecture and enabling self-service data access across departments. Partner with cross-functional stakeholders to solve business challenges and mentor junior engineers in a growing data team. Work in a high-impact role with ownership over platform strategy and data governance.
Design and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake, while shaping enterprise data architecture and enabling self-service data access across departments. Collaborate with cross-functional stakeholders and mentor junior engineers in a high-impact role during the early stages of the company's DataOps evolution. Focus on data quality, governance, and modern platform practices in a cloud-first environment.
Design and build scalable data pipelines and data products using Databricks, PySpark, and Delta Lake, while shaping enterprise data architecture and enabling self-service data access across departments. Collaborate with cross-functional stakeholders and mentor a junior engineer in a growing data team. Work in a high-impact role with ownership over platform strategy and data lifecycle governance.
