Senior Data Engineer

Shift; Sydney; Hybrid; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work policy

Parental leave up to 26 weeks

Strategy Week

Flat structure

Wellbeing benefits

Job summary

Shift is seeking an experienced Data Engineer to own the Azure Databricks platform, set standards and roadmap, and lead the data workstream for a core lending system migration. You’ll be the senior engineer in a small team, with two junior engineers, and ample room to shape how data works at Shift.

You will design robust ELT pipelines, build a scalable dimensional data model, lift data quality and cost efficiency, and mentor teammates while collaborating with analysts, data scientists and

Qualifications

• 5+ years in data engineering with hands-on Azure Databricks experience.
• Strong Python and SQL, plus CI/CD and deploying pipelines as code (Azure DevOps or GitHub, Databricks Asset Bundles).
• A track record of lifting standards on an existing platform, not just building something new on a clean slate.
• Solid dimensional modelling experience (star schemas, conformed dimensions, medallion architecture).
• Experience mentoring engineers and leading technical decisions through design and code review.
• The ability to explain technical direction clearly to non-technical stakeholders, and an instinct to work across teams rather than in a silo.
• Experience leading the data side of a core system migration is a strong plus.

Responsibilities

• Own the data platform roadmap and engineering standards, including CI/CD, separate environments, automated testing, monitoring and access governance through Unity Catalog.
• Design and lead the build of robust, scalable ELT pipelines on Azure Databricks.
• Lead the data workstream for our core lending platform migration: remap pipelines and models, and reconcile outputs before and after cutover alongside Engineering.
• Build and extend a curated, dimensional data model that becomes the default place the business goes for trusted, self-serve data.
• Lift data quality, freshness and alerting so issues are caught before the business notices them.
• Keep the platform cost-efficient through cluster optimisation, job orchestration and smart use of compute.
• Mentor and develop our junior data engineers through code review, pairing and clear standards.
• Partner with analysts, data scientists, product managers and Engineering to turn business needs into data products people trust.

Skills

Azure Databricks

Python

SQL

CI/CD

Pipelines as code

Data modeling

Mentoring

Technical leadership

Communication

Tools

Spark

Delta Lake

Unity Catalog

Azure DevOps

GitHub

Databricks Asset Bundles

Job description

Who is Shift?

Shift provides business finance to small, established and corporate sized businesses in Australia, including Business Overdraft, Equipment Line, Asset Finance, Term Loan and Trade Account. Founded in 2014, Shift has funded more than 30,000 Australian businesses.

At Shift, our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses.

About the role:

Want to put your stamp on a data platform? You’ll own our Azure Databricks platform, set its standards and roadmap, and lead the data side of a core lending system migration. You’ll be the senior engineer in a small team, with two junior engineers to develop and plenty of room to shape how data works at Shift.

What you’ll do:

Own the data platform roadmap and engineering standards, including CI/CD, separate environments, automated testing, monitoring and access governance through Unity Catalog

Design and lead the build of robust, scalable ELT pipelines on Azure Databricks

Lead the data workstream for our core lending platform migration: remap pipelines and models, and reconcile outputs before and after cutover alongside Engineering

Build and extend a curated, dimensional data model that becomes the default place the business goes for trusted, self-serve data

Lift data quality, freshness and alerting so issues are caught before the business notices them

Keep the platform cost-efficient through cluster optimisation, job orchestration and smart use of compute

Mentor and develop our junior data engineers through code review, pairing and clear standards

Partner with analysts, data scientists, product managers and Engineering to turn business needs into data products people trust

What you’ll bring:

5+ years in data engineering, with deep hands-on experience on Azure Databricks (Spark, Delta Lake, Unity Catalog)

Strong Python and SQL, plus experience with CI/CD and deploying pipelines as code (Azure DevOps or GitHub, Databricks Asset Bundles)

A track record of lifting standards on an existing platform, not just building something new on a clean slate

Solid dimensional modelling experience (star schemas, conformed dimensions, medallion architecture)

Experience mentoring engineers and leading technical decisions through design and code review

The ability to explain technical direction clearly to non-technical stakeholders, and an instinct to work across teams rather than in a silo

Experience leading the data side of a core system migration is a strong plus

Hybrid working:

we’re headquartered in North Sydney with state-based workplaces and offer a hybrid work policy. Our offices have spaces for collaboration, socialising and focused work.

Parental leave:

up to 26 weeks paid.

Strategy Week:

twice a year the whole team comes together to hear the business strategy and product and technology roadmap first-hand, with fortnightly all-company business updates in between.

Flat structure:

everyone can learn from each other and senior leaders across the business.

Wellbeing:

benefits supporting your physical, psychological and financial wellbeing, from a day off on your birthday to end of trip facilities.

Additional information:

If you don’t meet all the qualifications or skills but think you’d be a great fit, please apply anyway.

Learn more about working at Shift at shift.com.au/careers.