Posted at: 17 October

Principal Data Engineer

Company

Deputy

Deputy is a global SaaS company headquartered in Australia, specializing in workforce management solutions for B2B clients across various industries, serving over 1.5 million workers in 100+ countries.

Remote Hiring Policy:

Deputy is a remote-first company with a global hiring approach, supporting team members in various locations including Australia, the United States, and the United Kingdom, while allowing for flexible work arrangements.

Job Type

Full-time

Allowed Applicant Locations

United States, United Kingdom, Australia

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Job Description

Deputy is a global SaaS remote-first workforce management company with hubs in Sydney, Melbourne, San Francisco and London, plus team members working remotely across the United States. Our platform serves over 1.5 million workers and 375,000 workplaces across 100+ countries. We are backed by top global investors and recently achieved Unicorn status. 

At Deputy, we’re improving the world of work, one shift at a time, for 80% of the world’s workforce: hourly workers. These are the dedicated employees who keep our world running – from baristas to nurses, cleaners to delivery drivers, florists to factory workers. Despite their vital role in society, most workplace technology has focused on those workers who sit behind a desk, but at Deputy, we transform the frontline. When businesses use Deputy, their workplaces thrive – the business is more profitable, compliant, and productive, while the workers are more engaged and happier at work.

If you’re passionate about creating solutions that put people first and helping businesses and their teams thrive, join us at Deputy and make an impact where it matters most!

The Role

At Deputy, our mission is to simplify shift work and create thriving workplaces. Data is at the heart of how we achieve this, powering everything from product innovation to exceptional customer experiences. We are looking for a Principal Data Engineer to be the technical cornerstone of our data team, leading the charge in building a scalable and reliable data platform that will support our next phase of growth.

This is a foundational, strategic role. You will have the autonomy to shape our data architecture, champion engineering best practices, and set the technical vision for how we use data across the company. This role is a perfect blend of hands-on technical leadership and strategic influence, where you will not only build powerful data systems but also mentor a talented team and partner with leaders across the business.

Responsibilities


      • Architect and Evolve Our Core Data Platform You will own the technical vision and roadmap for our data platform, steering its evolution on our modern cloud stack and ensuring it meets the demands of a rapidly scaling business.
    • Own the Architecture: Design, implement, and refine a robust data lakehouse architecture (e.g., Medallion) using Databricks and Delta Lake to ensure data reliability and performance.
    • Build Scalable Ingestion Frameworks: Develop and maintain resilient, reusable patterns for ingesting data from a diverse set of sources, including our systems, transactional databases, event streams, and third-party SaaS APIs.
    • Define Data Modelling Standards: Lead the implementation of our core data modelling principles (e.g., Kimball dimensional modelling) to produce curated, intuitive datasets for business intelligence and product analytics.
    • Implement Robust Governance: Use tools like Unity Catalog to establish a comprehensive data governance framework, covering data lineage, fine-grained access controls, and a user-friendly data catalogue.
    • Manage Platform Performance and Cost: Develop and implement strategies for monitoring, optimising, and forecasting our Databricks and cloud expenditure, ensuring the platform is both powerful and cost-effective.

      • Champion Engineering Excellence and Best Practice You will be the driving force for maturing our data operations, embedding a culture of quality, automation, and reliability into everything we do.
    • Automate Everything with CI/CD: Implement and advocate for automated CI/CD pipelines (e.g., using GitHub Actions) for all data assets, including dbt models, infrastructure changes, and Databricks jobs.
    • Embed Git-Based Workflows: Champion a Git-first culture for all data transformation code, establishing clear processes for branching, code reviews, and version control.
    • Embed Automated Data Quality: Implement comprehensive, automated data quality testing at every stage of our pipelines using tools like dbt test, ensuring data is accurate and trustworthy.
    • Introduce Data Observability: Establish thorough monitoring, logging, and alerting for all data pipelines to proactively detect, diagnose, and resolve issues before they impact the business

      • Be a Strategic Partner Across the Business You will connect the technical capabilities of the data platform to Deputy's strategic objectives, acting as a key advisor to stakeholders across the organisation.
    • Translate Business Needs into Technical Solutions: Collaborate directly with leaders in Product, Engineering, Sales, finance and Customer Success to understand their challenges and design data solutions that enhance our product, improve customer outcomes, and drive business strategy.
    • Guide Data Best Practices: Advise analysts, data scientists, and other stakeholders on how to best leverage the data platform for impactful analysis and data-driven decision-making.
    • Act as the Technical Authority: Serve as the go-to expert on our data architecture, running workshops and design sessions to align technical direction with business needs

      • Lead, Mentor, and Elevate Our Data Team As a technical member of the team, you will be instrumental in upskilling your colleagues and shaping the future of the data function at Deputy.
    • Mentor and Coach: Actively mentor data analysts and engineers through pair programming, constructive code reviews, and technical guidance to grow their skills in Python, SQL, and data modelling.
    • Foster a Community of Practice: Lead initiatives like a 'data guild' to encourage knowledge sharing, explore new technologies, and collaboratively solve complex problems
    • Shape the Team's Future: Partner with data leadership to define career progression pathways for data engineering and take a leading role in interviewing and hiring new team members.

Skills & Experience

    • Mastery of data architecture principles, data modelling frameworks (e.g., dimensional modelling), and a strong understanding of data governance and security best practices.
    • A strong software engineering mindset, with significant experience implementing CI/CD for data, Git-based workflows, and automated data quality testing.
    • Exceptional communication and stakeholder management skills, with a proven ability to translate complex technical concepts for non-technical audiences and influence business decisions.
    • A genuine passion for leadership and mentorship, with a track record of elevating the technical skills of those around you.
      • Tech Stack:
    • Dbt
    • Databricks, Unity Catalog 
    • Terraform
    • AWS: Redshift, Dynamo db, API gateway, Cloud Watch, Lambda, Streaming with Kenisis/Firehose, Glue, Bedrock
    • Stitch & Fivetran
    • Languages required include advanced SQL, python

Employee Perks

- Enjoy a flexible remote-first work policy (with a work-from-home stipend to set you up for success!)
- Own A piece of Deputy via our Employee Share Ownership Plan (ESOP) 
- Take paid parental leave to support you and your family 
- Stay protected with Group Salary Continuance Insurance
- Access support through our Employee Assistance Program
- Enjoy additional leave days — including  study assistance, celebration days and volunteering
- Join our global working groups focused on collaboration, belonging and connection
- Get creative at our annual Hackathons
- Take advantage of our novated leasing for electric vehicles, internet reimbursement and more!


Deputy believes in equal opportunity and that inclusiveness and diversity promotes innovation. Our global team members are from a variety of cultures. And we welcome different perspective and skills. 


#LI-Hybrid
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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