Senior Analytics Engineer – Distribution Data Products

Kraken; Melbourne; On-site; AUD 130,000 - 190,000; Full time

Benefits offered by this job

Flexible working environment

Equity Options Scheme

Office on Bourke Street, Melbourne

Development support and courses

Job summary

Kraken is seeking a Senior Analytics Engineer to join Kraken Distribution. You’ll own data models, lightweight ingestion pipelines and analytics products that empower product, engineering and client delivery teams to derive trusted insights from Kraken data.

You will shape the analytics capability, become the Distribution data-domain expert, and partner with stakeholders to translate opportunities into scalable data solutions.

Qualifications

• Demonstrated analytics engineering or related data experience, including ownership of complex work from discovery through to production.
• Advanced SQL and dbt skills, supported by strong data-modelling principles and experience building maintainable, well-tested and reusable models.
• Experience building production-quality data pipelines using Python and modern cloud data warehouse or lakehouse technologies.
• Strong engineering practices, including version control, code review, automated testing, CI/CD and an understanding of data quality and reliability.
• Ability to collaborate effectively across Product, Engineering, Analytics and client-facing teams, explaining complex data concepts clearly to technical and non-technical audiences.
• Ability to work autonomously, navigate ambiguity and influence others while balancing immediate delivery with maintainability, scalability and reuse.

Responsibilities

• Establish and shape the analytics engineering capability within Kraken Distribution to accelerate customer onboarding and support a growing customer base.
• Become a subject-matter expert in the global Kraken application data model and the Distribution domain, enabling teams and customers to interpret and use Kraken data confidently.
• Define, build and document reusable data models that make complex Distribution data easier to understand, govern and apply across customer use cases.
• Partner with Client Delivery Leads, Product, Engineering and customers to identify high-value opportunities and translate them into scalable data products and analytics capabilities.
• Support customer migrations through data discovery, mapping, transformation and reconciliation, reducing delivery risk and helping customers realise value sooner.
• Build and maintain reliable dbt models, shared metrics and core datasets that support consistent operational, product and customer decision-making.
• Develop lightweight Python-based ingestion pipelines for Distribution-specific market and non-application data, expanding the information available for reporting and advanced insights.
• Establish automated testing, monitoring, documentation and data-quality controls so that internal teams and customers can use Distribution data with confidence.
• Select and build effective ways to deliver insights (including trusted datasets, reports, dashboards and data applications) so stakeholders can turn data into action.
• Collaborate with Kraken Analytics, Data Platform and the wider data community to reuse shared capabilities, avoid duplication and ensure Distribution’s needs contribute to Kraken’s broader data roadmap.

Skills

Advanced SQL

dbt

Python

Data modelling

CI/CD

Airflow

Cloud data platforms

Stakeholder collaboration

Education

Bachelor's degree in a relevant field

Tools

Postgres

AWS

Databricks Delta Lake

DBT

Python

Airflow

Kubernetes

GitHub

CircleCI

Job description

Kraken is seeking a Senior Analytics Engineer to join Kraken Distribution. You’ll own data models, lightweight ingestion pipelines and analytics products that empower product, engineering and client delivery teams to derive trusted insights from Kraken data.

You will shape the analytics capability, become the Distribution data-domain expert, and partner with stakeholders to translate opportunities into scalable data solutions.