
Leading Data Transformation Specialist
7 days ago
We are seeking a seasoned data consultant to join our team and drive meaningful change in large, complex organizations. The ideal candidate will have a deep understanding of data governance frameworks, data modelling, and platform engineering across cloud-native environments.
About the RoleThis is a mid-senior level position that requires 7+ years of experience in data consulting, architecture, or engineering roles. The successful candidate will be responsible for leading data discovery engagements, architecting data operating models, and providing solution direction across Azure, AWS, and Databricks platforms.
Key Responsibilities- 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, modeling, and analytics enablement.
- 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.
- Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus.
- Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership.
- Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences.
- Global internal wellbeing programme, access to wellbeing apps, hybrid work and flexible working hours, employee assistance programme.
- 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
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