Senior Data Consultant

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.

• Lead data discovery engagements and maturity assessments to uncover systemic challenges such as low data quality, legacy complexity, poor ownership, and governance breakdowns.
• Translate ambiguous client challenges into structured data strategies and actionable roadmaps.
• Architect data operating models and data governance frameworks to instill ownership, accountability, and regulatory alignment.
• Design and oversee end-to-end data transformations, including ingestion, cleansing, modelling, and analytics enablement.
• Provide solution direction across Azure, AWS and Databricks platforms, leveraging modern toolchains (e.g. dbt, Delta Lake, Fabric) to build scalable, governed pipelines.
• Act as a trusted advisor to business and IT leaders, guiding decision-making on platform adoption, team structure, and data enablement priorities.
• Collaborate with multidisciplinary teams—data engineers, architects, analysts, and business SMEs—to deliver value-focused outcomes.
• Promote data stewardship, quality control, metadata management, and best practices across delivery engagements.
• Support change management initiatives through coaching, stakeholder engagement, and capability uplift.

• 7+ years of experience in data consulting, architecture, or engineering roles with demonstrable project delivery in large, complex organisations.
• Deep knowledge of data governance frameworks (e.g. DAMA-DMBOK, DCAM) and practical experience implementing ownership, stewardship, and data quality models.
• Strong proficiency in data modelling, transformation design (ETL/ELT), and platform engineering across cloud-native environments (Azure, AWS, or GCP).
• Proven experience delivering solutions on Azure, Databricks, or Snowflake, including orchestration, observability, and governance integration.
• Proficient in Python and SQL, with hands-on experience using data engineering tools such as dbt, Spark, Fabric, or Synapse.
• Demonstrated ability to lead client workshops, navigate ambiguity, and provide structure to complex data initiatives.
• Comfortable working across stakeholders, from data engineers to executives, with strong communication and storytelling skills.
• Experience in regulated industries or asset-intensive sectors (e.g. energy, resources, mining) is highly valued.
• Relevant certifications in Azure, AWS, GCP and Databricks, or data governance frameworks are desirable.

• Discover some of the global benefits that empower our people to become the best version of themselves:
• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
• Novated Leasing: Pre-tax car leasing benefit for new and used cars.
• Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
• Inclusive Parental Leave Policy: 12 weeks of primary carer's leave and 4 weeks of secondary carer's leave.
• Work From Anywhere: 20 days of working from anywhere per year, in addition to our hybrid policy.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting