Data Engineer
for a Temporary role in
London is
£104,000

Per Year

TASKS

• Design and create data models that define the structure and relationships within datasets, ensuring efficient storage and retrieval of information..
• Design, implement, and manage databases that store and organize structured and unstructured data..
• Develop and implement ETL processes to extract data from various sources, transform it into a usable format, and load it into data warehouses or other storage systems..
• Integrate data from different sources and formats, ensuring consistency, accuracy, and compatibility..
• Design and maintain data warehouse architectures to support business intelligence, reporting, and analytics requirements..
• Work with big data technologies such as Hadoop, Spark, and NoSQL databases to process and analyse large datasets..
• Create and optimize data pipelines for the efficient flow of data between systems, applications, and databases..
• Implement data governance practices and policies to ensure data quality, security, and compliance with regulatory requirements..
• Optimize database and query performance to ensure efficient and fast data retrieval..
• Implement security measures to protect sensitive data, including encryption, access controls, and data masking..
• Monitor data systems for performance issues, errors, and bottlenecks, and perform regular maintenance activities..
• Design data architectures that can scale to handle growing volumes of data and increased demand..
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure..
• Use version control systems to manage changes to database schemas, ETL processes, and other components of data systems..
• Maintain comprehensive documentation of data architectures, processes, and configurations..
• Implement automation for repetitive tasks, improving efficiency and reducing manual errors..
• Implement processes and checks to ensure data quality and accuracy throughout the data lifecycle..
• Stay abreast of emerging trends and technologies in the field of data engineering..