Company Description
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.

Job Description

• 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.

QUALIFICATIONS

• 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.
  Additional Information

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.

Please refer the Job description for details