Maintenance Technician III ensuring systems reliability and reducing downtime in aseptic production. Collaborating with multiple sites and supporting equipment performance.
About the role
- Data Architect designing and implementing enterprise-level data architecture that empowers smarter decisions. Collaborating across teams to integrate data-driven thinking and drive innovation at Ness.
Responsibilities
- Shape and deliver an enterprise-wide data architecture strategy that fuels growth and innovation
- Define reference architectures, canonical data models, and integration patterns to create a consistent, reliable, and agile data foundation
- Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights
- Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards
- Collaborate with cross-functional teams to embed data-driven thinking into every decision
- Mentor colleagues, champion best practices, and foster an inclusive, high-energy culture of data excellence.
Requirements
- Proven experience in data analysis
- Proven experience in financial industry
- Expertise in cloud-native data platforms (e.g., Snowflake, Databricks, BigQuery, Amazon Redshift)
- Advanced data modeling skills (conceptual, logical, physical) across relational, NoSQL, and event-driven systems
- Hands-on proficiency with ETL/ELT tools (e.g., dbt, Fivetran, Matillion) and streaming technologies (e.g., Kafka, Kinesis, Pulsar)
- Strong knowledge of data governance platforms (e.g., Collibra, Alation, Informatica) and industry best practices
- Understanding of AI/ML data lifecycle management and operationalisation
- Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
Benefits
- Professional development
- Exciting and challenging projects across a diverse range of industries
- Collaboration with a group of forward-thinking, capable partners around the globe
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