Associate Delivery Manager leading CDW and MDM solutions at Beghou Consulting, improving commercialization strategies for life sciences clients. Ensuring high - quality delivery of data solutions and mentoring junior staff.
About the role
- Senior Data Engineer leading the Data Engineering program for generative AI technology at Docuvera. Design and build scalable data foundations while ensuring data quality and security compliance.
Responsibilities
- Set up and lead our Data Engineering program: the platform, the standards, the culture, and the momentum.
- Design and build the data foundations that power our natural language + generative AI features.
- Own end-to-end delivery, partner closely with product/engineering/customer teams.
- Help us ship complex solutions for international customers — reliably, securely, and at scale.
- Build batch + streaming pipelines for multi-client document ingestion at scale using Apache Iceberg on S3, exposed natively into Snowflake.
- Set up data quality + observability to ensure we don’t repeat the same issues.
- Ensure data security compliance with GDPR, data residency, IAM least privilege, etc.
- Help build a high-performing Data Engineering function: standards, mentoring mid-level engineers, CI/CD for pipelines, infrastructure-as-code practices.
- Design and maintain Snowflake data models for analytics + ML consumption.
Requirements
- Strong hands-on AWS experience: S3, Glue, Kinesis, Lambda, SQS, IAM, CloudWatch
- Deep Snowflake experience: schema design, performance tuning, streams + tasks, clustering, masking + row-level security
- Solid experience with Apache Iceberg in an S3-based lake setup, including exposing Iceberg tables to Snowflake (external tables or native Iceberg support)
- Advanced SQL + strong dbt/ELT design skills, and real-world batch/streaming experience (late data, at-least-once delivery, etc.)
- Kimball dimensional modelling know-how (facts/dims, SCD Type 1/2/3, conformed dimensions) in Snowflake
- IaC + CI/CD experience (Terraform or AWS CDK), plus familiarity with observability tools like Great Expectations / Monte Carlo (or similar)
- Experience supporting ML + GenAI data needs: feature stores, embedding pipelines, SageMaker integration, RAG-friendly data engineering
- Good grasp of multi-region governance/compliance: right-to-erasure, residency enforcement, audit logging, secrets management
- Comfortable leading: setting standards, mentoring, and explaining trade-offs clearly to non-technical stakeholders.
Benefits
- Work your way. We’re digital-first and fully flexible, with asynchronous work as the norm.
- Our New Zealand offices in Wellington and Palmerston North are always open; come for the snacks, drinks and table tennis, stay for the great people and connection.
- Pride in what we do. There's nothing like joining a tech scale-up that's highly regarded on the world stage where what we do makes a tangible difference in the world.
- Modern tools that work for you. As an AI-agentic company, we use the latest systems and tools to make work smarter.
- Space to grow. You’ll have access to learning and development resources, plus dedicated tools-down time for personal growth.
- Time to recharge. In New Zealand, enjoy an extra week of paid leave; time off over Christmas, and your birthday off. In the U.S., we offer unlimited PTO and funded health benefits, including dental and medical.
- A close-knit global team. You’ll be part of a dedicated, collaborative community that stays connected no matter where you’re based.
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