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Data Engineer

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LGT Gruppe Holding AG

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Location:
Australia , Sydney ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a Data Engineer to join our Platform Engineering team on a 12‑month fixed‑term contract. This role bridges data engineering, analytics, and applied data science, with a strong focus on reusability, explainability, and regulatory alignment. You will work closely with the Principal Engineer to design, build, and operationalise a high quality, governed data foundation that enables analytics, advanced modelling, and AI use cases across the organisation.

Job Responsibility:

  • Contribute to the design and evolution of the enterprise data foundation, including core and presentation data layers
  • Build well‑defined, reusable data products (datasets, features, semantic models) that can be consumed by analytics, Artificial Intelligence (AI) models, and downstream applications
  • Partner with data engineers to define data structures that support historical accuracy, auditability, and lineage
  • Perform exploratory data analysis to identify patterns, data quality issues, and AI opportunities
  • Support AI use cases by ensuring data is fit‑for‑purpose, well‑documented, and reproducible
  • Work within the enterprise data governance framework, including Data quality rules and monitoring
  • Metadata, lineage, and glossary contributions
  • Collaborate with Data Owners to resolve data issues and clarify definitions
  • Ensure datasets and models meet regulatory, privacy, and audit requirements relevant to financial services
  • Collaborate closely with engineering, architecture, compliance, and business teams
  • Contribute to standards, templates, and best practices for analytics and data science delivery
  • Support enablement of other teams by creating reusable assets and documentation
  • Take ownership for the day to day operability of the data integration platform to ensure business functions run smoothly

Requirements:

  • Strong experience with Python for data analysis and modelling (e.g. pandas, NumPy, scikit‑learn or equivalent)
  • Solid SQL skills and experience working with cloud data warehouses and lakehouses
  • Experience working in a modern data platform (e.g. Microsoft Fabric, Synapse, Snowflake, Databricks)
  • Understanding of data modelling concepts (e.g. dimensional models, Data Vault or similar enterprise patterns)
  • Proven experience working on data foundations, not just dashboards or isolated models
  • Experience creating reusable, governed datasets or features intended for multiple downstream consumers
  • Familiarity with metadata management, data lineage, and data quality frameworks
  • Experience working in financial services or another regulated industry
  • Awareness of data privacy, auditability, and model risk considerations
  • Ability to balance innovation with control, documentation, and traceability
  • Strong analytical thinking with the ability to explain complex concepts simply
  • Comfortable working with ambiguity and helping shape the right data approach
  • Collaborative mindset and ability to work closely with senior engineers, architects, and business stakeholders
  • Understanding of CI/CD pipeline experience

Nice to have:

  • Experience with Microsoft Purview or similar governance/cataloguing tools
  • Exposure to GenAI use cases (LLMs, embeddings, retrieval‑augmented generation)
  • Experience contributing to an AI or Data Centre of Excellence model
  • Experience in preparing data assets specifically for AI and GenAI use cases, including feature engineering, embedding, and structured/unstructured data preparation
  • Degree or qualification in machine learning
  • Industry certification in the above technologies will be highly desired
  • Tertiary degree in software engineering, computer science or related principles
  • Experience supporting AI use cases or early‑stage production models is highly desirable

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
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