Data Engineer Roles, £26.50 per hour (umbrella rate) Various locations - Minimum 6-month contract
We are looking for talented Data Engineers to work with our prestigious public sector client. In this role, you will focus on building robust, scalable data solutions and Python-based software that the production team can integrate into their operations. You'll be responsible for managing the Python codebase, creating intuitive user interfaces, and connecting to cloud databases, helping to ensure systems remain efficient and safe.
You'll have a passion for combining data engineering principles with software development to create data products that enhance our ability to process, store, and retrieve information across various platforms. You will work closely with a multidisciplinary team of developers, engineers, and production staff, ensuring the smooth and efficient development and deployment of solutions.
What will you be doing:
Design, develop, and maintain ETL pipelines and data processing workflows to manage and manipulate datasets, ensuring data quality, consistency, and accuracy.
Create intuitive and user-friendly interfaces for internal production teams, making sure that all software products are highly usable and meet the users' requirements.
Manage and enhance the Python codebase used for both data processing and user interface functionality, ensuring clean, maintainable, and well-documented code.
Build and maintain scalable, secure, and efficient cloud-based solutions, including designing database schemas and managing data flows.
Implement software development best practices, including version control (Git), continuous integration, testing, and deployment (CI/CD).
Troubleshoot and optimise existing data pipelines and software, ensuring performance improvements and resilience in production environments.
Collaborate with data scientists, analysts, and other teams to ensure efficient data integration, storage, and processing, and the transfer of appropriate data engineering knowledge. Essential Skills and Experience:
Proficiency in Python, including experience with data manipulation libraries (Pandas).
Experience in designing, developing, and maintaining ETL pipelines and data flows in a cloud-based environment.
Understanding of relational databases, including experience with database design, query optimisation, and data warehousing.
Ability to create intuitive, user-friendly interfaces.
Excellent troubleshooting, problem-solving, and debugging skills.
Strong understanding of software testing, including unit testing, integration testing, and performance testing.
Ability to work collaboratively in a team environment, communicate effectively, and manage multiple tasks in a fast-paced setting. These roles are Hybrid working and can be based in Newport, Titchfield or Darlington
Get in touch with me, Lynne Strang, for more information or simply press the button to apply
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