About the position
We are launching a major, Group-wide Data and Analytics transformation to build a modern, robust, and highly governed data ecosystem. To achieve this, we are looking for a heavy-hitting Senior Data Engineering Consultant to join us on a fixed-term contract.
This isn't just about writing code; it's about architecting trust. You will play a pivotal role in modernizing our enterprise data platform, reducing manual technical debt, and building the production-ready pipelines that power our advanced analytics, BI, and critical regulatory reporting.
Responsibilities
Data Engineering & Platform Modernization
- Design & Ingest: Build and scale robust ingestion pipelines pulling from complex source environments (core transactional, finance, risk, and third-party partner systems)
- Aureate Data Layers: Construct and maintain clean, multi-tier data architectures
- Optimize Performance: Constantly refine ETL/ELT processes to improve system reliability, processing speed, and cloud cost-efficiency Technical Data Governance & Control
- Build Trust: Embed automated data quality rules, validation checks, and exception-handling frameworks directly into the pipelines
- Lineage & Security: Implement technical controls for automated metadata capture, data lineage tracking, data access control, and security classification
- Remediation: Partner with Data Governance teams to systematically resolve identified data quality gaps
Analytics & Reporting Enablement
- Analytics-Ready Assets: Translate complex business requirements into reusable, trusted technical data assets for BI tools and advanced analytics teams
- Collaborate Broadly: Act as the technical bridge between IT infrastructure, enterprise architecture, and business domain data owners
- Enterprise Track Record: Proven experience delivering data solutions within complex, enterprise-scale data environments
- Modern Data Stack Expertise: Deep, hands-on experience with modern cloud data platforms, cloud data warehouses (e.g., Snowflake, Databricks, Big Query, Synapse), and advanced ETL/ELT tools
- Governance-First Mindset: You don't see data governance as an afterthought. You have a solid grasp of data quality frameworks, data lineage, and security architectures
- Autonomous Delivery: A self-starter who thrives in a delivery-focused environment, capable of steering technical initiatives with minimal handholding
- Collaboration Skills: Excellent ability to work alongside enterprise architects, business analysts, and third-party data vendors
Key Deliverables and Success Measure
You will be directly accountable for delivering
- Production-Ready Pipelines for priority business data domains
- Curated Datasets that seamlessly feed business intelligence and regulatory use cases
- Impeccable Documentation covering data models, transformation logic, and pipeline dependencies
- Knowledge Transfer to ensure long-term stability and smooth handover to internal teams
Qualification
- Diploma and Degree in Information Technology and Data related fields
Desired Skills:
- Snowflake
- Databricks
- Big Query
- Synapse
- IT infrastructure
- ETL
- Data Governance
Desired Qualification Level:
