Ness is looking for a Data Engineer to craft, evolve, and champion their enterprise data platform to empower smarter decisions, accelerate innovation, and enable AI-driven opportunities across the organization. The goal is to set the vision and lead the delivery of a modern, scalable, and trusted data architecture that meets current business needs and positions the company for future breakthroughs, ultimately turning data into a competitive advantage.
Requirements
- 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.
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.
- Curate and integrate cutting-edge modern data stack technologies to speed delivery and maximise value.
- Design, deliver, and optimise data pipelines, APIs, and real-time streaming frameworks that power business-critical insights.
- Embed data quality, lineage, and metadata management into every solution for trusted and transparent data.
- Prepare and enrich enterprise data to unlock the potential of AI, ML, and predictive analytics.
- Lead the rollout of data governance, compliance, and privacy frameworks that inspire confidence and meet global standards.
Other
- Proven experience in data architecture or engineering leadership, delivering enterprise-scale solutions.
- Proven experience in financial industry.
- Exceptional communication skills with the ability to inspire, influence, and align diverse stakeholders.
- Act as a strategic advisor to executives, connecting technical architecture with measurable business outcomes.
- Work hand-in-hand with cross-functional teams to embed data-driven thinking into every decision.
