- 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 teamsdata engineers architects analysts and business SMEsto 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.
Additional Local Benefits
- 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 carers leave and 4 weeks of secondary carers leave.
- Work From Anywhere: In addition to our hybrid working policy we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time