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Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. For more information, visit Worley.com
Worley are looking for a Data Engineer (Consultant) to join our Unconventional Industrial Solutions team on a full time basis in the UK. This is a hybrid / remote working role with limited requirement to travel.
Job Purpose
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.
Your place in the organisation
Unconventional Industrial Solutions is part of the Customer Solutions team which, in turn, is part of the Growth Division of Worley.
Customer Solutions
The Customer Solutions team is part of Worley’s Growth Division. Our team of consultants, technology experts, data scientists, developers and engineers support our customers as they embrace digital technology and transform their organization.
Our Mission Is To Make Energy Affordable And Accessible To Everyone - Enabled By Providing Our Clients With 5 Key Capabilities
- Digital Advisory services & Human-Centric Service Design
- End-to-End Digital Twins as a foundation for smart advisory
- Take advisory services & breakthrough analytics solutions to the next level by productizing them and serving them to our clients & ecosystem through user-centric B2B marketplace
- Sustainability solutions
- Autonomous solutions design and implementation
Unconventional Industrial Solutions
The UIS team consists of over 40 specialist practitioners located across the UK, Southeast Asia and Australia, and provides data-driven solutions for complex industrial problems.
We complement conventional engineering approaches to solving problems, by leveraging subject matter expertise and domain knowledge alongside simulation-driven design, data science and machine learning.
Our solutions increase operational safety and protect against losses, while optimised asset designs, operational parameters and maintenance strategies deliver significant savings.
Responsibilities And Duties
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 structure
Skills And Experience
Technical
- Demonstrate deep understanding of the complexities and nuances of structured and unstructured industrial data, and how to prepare it for analysis
- Make full use of technology to automate data pipelines and build analytical warehouses
- Deep understanding of cloud-based data platforms (Azure SQL DB, Azure Synapse, ADLS, AWS, Hadoop, Spark, Snowflake, No-SQL etc).
- Proficient scripting in programming languages such as Java, Python, Scala
- Expert in SQL
Machine Learning
- Good basic understanding of the main types of ML model with particular reference to the required data structures, formats and hygiene.
- Au fair with how current machine learning tools and platforms (Python, IBM, Knime, Github, R, Spark, Weka, Amazon ML, Azure ML etc) integrate as part of the analytical ecosystem
- Experience with the tools used to validate, monitor and deploy ML models (Tensorflow, ML Flow, AWS Studio, Docker, Kubernetes etc).
Applied Analysis and Insight
- Understand enterprise-wide business-processes, IT systems and data
- Designs data flows and platforms that enable businesses to execute long term data strategy
- Work with data scientists and data owners throughout a project to ensure data is interpreted correctly and solutions are viable
- Experience in processing of IOT/Sensor Data to solve problems in an industrial setting
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
Qualifications And Experience
Undergraduate/Masters degree in STEM or other numerate subjects. Plus 3 or more years relevant working experience.
OR
PhD in a relevant field (Computer Science, Industrial Analytical Systems etc) plus one year commercial experience
What We Offer You
Providing an agile culture and challenging work opportunities results in a positive work environment. Our people enjoy competitive compensation packages and a fun, personal, collaborative and safe working environment. We value equal employment opportunity and are committed to promoting fairness, equality and diversity.
Our policy is to conduct background checks for all candidates who accept an offer of employment with us.
If you have the passion and talent to keep up, it's time to test the limits of what you can become. Find your future with Worley.
Company
Worley
Primary Location
GBR-GL-London
Other Locations
GBR-GC-Glasgow, GBR-NWE-Manchester, GBR-AC-Aberdeen, GBR-SOT-Stockton, United Kingdom
Job
Data Analysts
Schedule
Full-time
Employment Type
Employee
Job Level
Experienced
Job Posting
Feb 10, 2023
Unposting Date
Ongoing
Reporting Manager Title
Head of Analytics & Data Science
