Senior Data Engineer

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Business Type: Small/Medium Business

Company Type: Product & Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology

Job Description

As a Senior Data Engineer, you will play a key role in building and scaling our modern data platform on Google Cloud. This platform underpins our ambition to become a truly data-driven business, enabling teams across Finance, Merchandising, Ecommerce, Retail, and Wholesale to make better, faster decisions.

Working closely with the Data Architect / Lead, you will translate architectural designs into scalable, production-ready data solutions. You will take ownership of building high-quality data pipelines and models, ensuring our data is reliable, well-structured, and trusted across the business.

This is a hands-on role where you will combine strong engineering capability with a passion for quality, performance, and continuous improvement.

What You’ll Own (Responsibilities)

Building the Data Platform

• Design and build scalable, reliable data pipelines on GCP
• Ingest and integrate data from multiple source systems (e.g. OMS, ERP, eCommerce platforms)
• Implement data transformations across Bronze → Silver → Gold layers in BigQuery

• Develop high-quality, reusable data models (facts & dimensions)
• Apply modelling standards defined by the Data Architect / Lead
• Ensure data is structured in a way that supports self-serve analytics and reporting

• Implement data quality checks, monitoring, and alerting
• Support reconciliation across key systems (e.g. OMS, finance, payments)
• Contribute to data contracts, lineage, and documentation to build trust in data

• Translate architectural designs into scalable, maintainable solutions
• Drive best practices in ELT, modular transformations, and CI/CD
• Promote high standards in coding, testing, and documentation

• Work closely with the Data Architect / Lead on solution design and platform evolution
• Partner with Data Product & Insights teams to deliver analytics-ready datasets
• Collaborate with Engineering and Integration teams to improve upstream data quality

• Optimize BigQuery models and queries for performance and cost efficiency
• Ensure reliability and stability of data pipelines
• Proactively identify and resolve bottlenecks and issues

• Overall, 6 to 9 years of experience SQL and data modelling experience
• Bachelor’s degree in Computer Science, Information Systems, or related field.
• Hands-on experience with Google BigQuery in a production environment
• Experience with core Google Cloud Platform data services such as:
• Dataform (or dbt equivalent)
• Cloud Composer (Airflow)
• Pub/Sub
• Cloud Storage
• Proven experience building scalable ETL/ELT pipelines
• Experience in Retail environments

• Strong understanding of data engineering best practices (testing, CI/CD, version control)
• Experience working within defined architectural frameworks
• Ability to balance rapid delivery with long-term maintainability

• Experience with Looker or similar BI tools
• Familiarity with data governance and cataloging tools (e.g. Dataplex)

• Hands-On & Accountable: You take ownership of delivery and see things through to completion
• Quality-Driven: You care about data accuracy, consistency, and trust
• Collaborative: You build strong relationships across technical and business teams
• Curious & Proactive: You look for ways to improve data, processes, and performance
• Adaptable & Resilient: You thrive in a fast-paced transformation environment
• Problem Solver: You approach challenges with a logical, solution-oriented mindset