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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNoSQLPythonPyTorchSDLCSparkSQLTensorflow
About the role
Key responsibilities & impact- Supporting end‑to‑end project delivery, from analysis through to client engagement and measurable outcomes.
- Translating technical data and insights into clear, actionable advice for clients.
- Contributing to solutions in areas such as asset management strategies, asset decision-making, performance improvement, system design, and asset condition assessments.
- Collaborating with senior advisors on initiatives spanning operational readiness, reliability engineering, productivity improvement, capital portfolio management and complex, multi-disciplinary projects.
Requirements
What you’ll need- Experience across the software development life cycle, including containerisation, Git and data science languages/notebooks
- Strong data engineering skills: cleansing, transformation, loading and modelling across SQL and NoSQL
- Familiarity with major cloud platforms (Azure, AWS or GCP) and their storage, database, data lake and analytics services
- Experience with key data and ML tools such as Spark, Databricks, Python, R, TensorFlow/PyTorch and Jupyter/RStudio
- Understanding of data visualisation (e.g., Power BI), agile ways of working and holding a relevant scientific or engineering degree
Benefits
Comp & perks- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
data engineeringSQLNoSQLcontainerisationPythonRSparkDatabricksTensorFlowPyTorch
Soft Skills
client engagementcollaborationcommunicationproblem-solvinganalytical thinking