Full-Time

Principal Data Engineer

Posted on 8/5/2025

Prezzee

Prezzee

Digital gift card platform and marketplace

No salary listed

Sydney NSW, Australia

In Person

Category
Data & Analytics (2)
,
Required Skills
Python
Git
SQL
Postgres
Zendesk
Salesforce
AWS
Terraform
Databricks
Looker
Requirements
  • Deep experience designing and scaling complex data platforms—ideally across multiple organisations or stages of scale.
  • Hands-on experience with AWS, Databricks, Terraform, and managing modern data stacks.
  • Mastery of data architecture and modelling frameworks, and strong knowledge of data governance and platform performance.
  • Strong background in CI/CD for data pipelines, Git-based workflow, and automated data quality assurance.
  • Excellent communication skills with the ability to influence cross-functional stakeholders and explain technical concepts to non-technical audiences.
  • Proven leadership, with a track record of mentoring and building high-performing data teams.
Responsibilities
  • Own the Core Architecture: Design and implement a robust Medallion architecture (Bronze/Silver/Gold) on Databricks, leveraging Delta Lake for reliability and performance.
  • Establish Data Ingestion Frameworks: Create reusable, scalable patterns for ingesting data from a variety of sources, including transactional databases (Postgres), third-party APIs (e.g., Salesforce, Zendesk), and event streams.
  • Define Data Modelling Standards: Lead the evaluation and implementation of our core data modelling paradigm (e.g., Kimball dimensional modelling), ensuring our curated data sets are intuitive for analytics and reporting in Looker.
  • Implement Governance and Security: Use Unity Catalog to establish a comprehensive data governance framework, including fine-grained access controls, data lineage tracking, and a business-friendly data catalogue.
  • Manage Platform Performance: Develop strategies for monitoring and optimising Databricks cluster usage and cloud spend to ensure the platform is both powerful and cost-effective.
  • Implement CI/CD for Data: Build and champion automated CI/CD pipelines (e.g., using GitHub Actions) to test and deploy all data assets, including dbt models, Databricks jobs, and infrastructure changes.
  • Champion Git-Based Workflows: Embed a Git-first culture for all data transformation code, establishing clear processes for branching, code reviews, and version control.
  • Build a Data Quality Firewall: Implement automated data quality testing at every stage of our pipelines using tools like dbt test or Great Expectations, ensuring data is accurate, fresh, and reliable before it reaches our users.
  • Introduce Observability: Set up comprehensive monitoring, logging, and alerting for all data pipelines to proactively detect, diagnose, and resolve issues.
  • Translate Business Needs into Technical Solutions: Work directly with leadership in Product, Finance, and Marketing to understand their challenges and design data solutions that drive real business outcomes.
  • Guide Analytical Best Practice: Advise analysts and business users on how to effectively query and leverage the new platform, helping them move from simple reporting to deeper, more impactful analysis.
  • Become the Technical Authority: Serve as the go-to expert on data architecture and possibilities, running workshops and design sessions to align technical direction with business strategy.
  • Mentor and Upskill Analysts: Actively mentor data analysts through pair programming, constructive code reviews, and technical guidance, helping them develop stronger Python, SQL, and data modelling skills.
  • Establish a Community of Practice: Foster a 'data guild' or similar forum to share knowledge, discuss new technologies, and collaboratively solve challenging problems.
  • Shape the Future Team: Partner with the Head of Data to define the career progression framework for data engineering and play a lead role in interviewing and hiring new team members.
Desired Qualifications
  • Familiarity with Redshift, Postgres, DynamoDB, Looker, and Workday Prism Analytics.

Prezzee UK is a digital gifting platform that lets users buy, personalize, send, store, and redeem eGift cards for individuals and businesses. Users purchase eGift cards via the app or website, add video or voice messages and photos, and send them to recipients who can redeem at over 100 major retailers; cards can be stored in a digital wallet. Revenue comes from retailer commissions and premium corporate services like bulk purchasing and branding. The goal is to simplify online gifting, expand adoption of digital gift cards, and grow engagement and revenue through a convenient platform.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • B2B segment expands with international markets in USA, UK, New Zealand.
  • SMS delivery at 50p per gift adds revenue stream.
  • Plastic-free positioning aligns with ESG corporate commitments.

What critics are saying

  • Blackhawk Network diverts ASOS, John Lewis partnerships in 6-12 months.
  • UK PSR mandates refund unredeemed balances from April 2025.
  • Amazon Prime bundles capture tech-savvy users in 6-12 months.

What makes Prezzee unique

  • Pay-per-redemption pricing optimizes B2B gifting budgets.
  • Smart eGift cards split balances across multiple retailers.
  • Zero-fee core features lower B2B adoption barriers.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Employee Referral Bonus

Mental Health Support

INACTIVE