Senior Data Engineer

Salary: Up to $130,000 p/a + extra leave

Build the data foundation behind real-world GenAI

Due to an internal promotion, we’re hiring a Senior Data Engineer to help lead out on our Data Engineering program as part of the AI Technology team.

Docuvera is building products where generative AI and analytics work in the real world, so you’ll build the AWS and Snowflake data platform and the standards behind it, powering our natural language and GenAI features and improving reporting and analytics across the business, shipping for international customers securely and at scale.
Docuvera's mission is to help life sciences companies accelerate how they get their life changing products to market faster through digital content management. Docuvera turns content into reusable, approved building blocks that work safely across documents and markets, harnessing the power of this digital innovation, enabling them to raise the bar for safety, quality, and care.

Headquartered in New Zealand with a distributed team across New Zealand, Asia, the UK, Europe, and the US, we're now a member of the cormeo family of companies.

Below is a taster of what we're looking for. For the full job ad, check out www.docuvera.com/careers.

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What your day might look like

• Own the data platform on AWS and Snowflake (S3/Kinesis/Glue, dbt, Step Functions)

• Build batch and streaming ingestion using Apache Iceberg on S3, exposed into Snowflake

• Build ML/GenAI data infrastructure: feature pipelines/store, SageMaker integration, embeddings + vector storage for RAG

• Implement data quality, observability, and root-cause fixes

• Own security + governance (GDPR, residency, IAM, secrets, row/column controls)

• Establish standards, mentor engineers, and improve CI/CD + IaC

• Model data in Snowflake using Kimball principles

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The impact you’ll have

• More reliable, trusted data

• A platform that scales with customers and use cases

• Faster decisions and fewer reporting debates

• Strong foundations for GenAI and analytics

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The capabilities you’ll bring

• Strong AWS (S3, Glue, Kinesis, Lambda, SQS, IAM, CloudWatch)

• Deep Snowflake (performance, streams/tasks, security controls)

• Iceberg on S3 and Snowflake integration experience

• Advanced SQL and strong dbt/ELT and streaming/batch delivery patterns

• Kimball dimensional modelling expertise

• IaC/CI/CD (Terraform or CDK) and data observability tooling familiarity

• Experience supporting ML/GenAI data needs (feature stores, embeddings, SageMaker, RAG)

• Comfortable leading, mentoring, and communicating trade-offs clearly

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How we work

We value diversity of experience, perspective, and background, and we care about how we work as much as what we achieve.

Our ways of working show up in six words: Go-Getter, Trailblazer, Elevator, Shapeshifter, Torchbearer, Steward. You’ll see them in how we collaborate, measure performance, and deliver outcomes day to day.
As a distributed, global team, we operate a high trust environment and we truly walk the talk. We give our people the tools, flexibility, autonomy, and encouragement they need to thrive.

Check out our full job description on our careers site (www.docuvera.com/careers) or on our main LinkedIn page.

We use AI tools to complement our recruitment process. We may use AI to support certain stages of the hiring process, such as reviewing applications, analysing resumes, or evaluating responses but they do not replace human interaction or decision making. All final hiring decisions are made by people.