Data Engineer

at  Worley

Data Engineer - UNI00D4
Company: Worley
Primary Location: GBR-GL-London
Other Locations: GBR-WY-Leeds, GBR-GC-Glasgow, GBR-SWE-Bristol, GBR-NWE-Manchester, GBR-SOT-Stockton, United Kingdom
Job: Digital Platforms & Data Science
Schedule: Full-time
Employment Type: Employee
Job Level: Experienced
Job Posting: May 20, 2024
Unposting Date: Aug 18, 2024
Reporting Manager Title: Head of Analytics & Data Science
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SOFTER SKILLS

• Build relationships with key technical and senior stakeholders across the business
• Spend time with customers to fully understand the challenges and the nuances of their organisation and data.
• Be comfortable working in Agile project-management frameworks.

ANALYTICAL KNOWLEDGE

• Ensures that analysts have ready access to clean, accurate and properly-documented data
• Able to interrogate data to understand its quality and distribution, informing required transformations

ROLE CONTEXT:

Design, build, and maintain the infrastructure and systems that allow the UIS Data Science team to collect, store, process, and analyse large amounts of data. Design and implement data pipelines, integrating data from various sources, and ensure the data is accurate, complete, and accessible to those who need it. You will work as part of the Customer Solutions team which, in turn, is part of the Growth Division of Worley.

The day-to-day responsibilities of the data engineer will vary depending on the specific project being worked on but will typically include:

• Collaborating with data scientists, analysts, front end developers and other stakeholders to understand and meet their data needs.
• Designing, building, and maintaining the data infrastructure and pipelines that support data-driven applications and analytics.
• Managing and monitoring data pipeline performance and troubleshooting any issues that arise.
• Work with a wide variety of data types and sources including structure, unstructured, semi-structured and sensor data
• Optimising and scaling data storage and processing systems.
• Ensuring data quality and consistency across different systems and platforms.
• Developing and implementing data security and privacy controls.
• Quickly build prototypes and proofs-of-concept to prove value of propostions
• Collaborating with other teams in Customer Solutions and Worley: Working with other teams within the organisation, such as Solutions Factory (DevOps and data systems), PMO, and project teams. Understand customers’ challenges, agree and deploy solutions.
• Management: coaching and line-management responsibilities subject to experience and team structur