Senior Data Engineer (GCP, BigQuery, Looker), PK [AS233] at smart-working-solutions

About Smart Working At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being. Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally. Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world. About the Role We're looking for a Senior Data Engineer to become a cornerstone of our data platform team. This is a long-term, strategic role, not a short sprint. You'll be embedded in a collaborative engineering and analytics team, working across the full data lifecycle: ingestion, transformation, modelling, and surfacing insights through Looker. You'll work closely with stakeholders across commercial, product, and marketing to ensure data is reliable, scalable, and meaningful. You'll be given real ownership. This is a role for someone who wants to shape standards, improve the architecture, and grow with a brand that takes its data seriously. Responsibilities • Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery, ensuring reliability, scalability, and observability at every stage. • Develop and enforce data models and schema standards using best-practice SQL and dimensional modelling principles, with a focus on clarity, reuse, and performance. • Own the Google BigQuery environment, optimising queries, managing costs, enforcing data governance, and ensuring the platform scales alongside the business. • Build and maintain Looker explores, LookML models, and dashboards that translate complex datasets into clear, actionable business intelligence for non-technical stakeholders. • Work across the full Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to architect end-to-end data solutions. • Partner with analytics, engineering, and commercial teams to understand data requirements and translate business problems into scalable technical solutions. • Champion data quality and testing frameworks, implementing monitoring and alerting so that issues are caught early and resolved quickly. • Contribute to documentation, coding standards, and architectural decision records so the team can move fast with confidence. • Mentor junior data team members and set the bar for engineering rigour across the data function. • Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate. Requirements • 5+ years of experience in SQL and data modelling, with strong command of dimensional modelling, star schemas, and performance optimisation. • 3+ years working with Google BigQuery in a production environment. • 3+ years hands-on experience with Google Cloud Platform (Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, Composer). • 3+ years building and maintaining ETL/ELT pipelines at scale. • 1+ year working with Looker and LookML to deliver business-facing dashboards and data products. • Demonstrable experience leading at least one data project end-to-end, from scoping through to delivery. • Able to communicate clearly with non-technical stakeholders about data limitations, timelines, and trade-offs. • Comfortable making pragmatic architecture decisions in a cloud-native, modern data stack environment. Nice to Have • Experience with dbt (Data Build Tool) for transformation layer management and testing. • Familiarity with orchestration tools such as Apache Airflow or Cloud Composer. • Python skills for pipeline scripting, data validation, or automation. • Background in retail, ecommerce, or fashion, understanding how data flows across commercial and digital channels. • Exposure to real-time or streaming data pipelines using Pub/Sub or Dataflow. • Experience with Terraform or Infrastructure-as-Code practices in a GCP context. • Familiarity with data governance frameworks, cataloguing, and lineage tracking. At Smart Working, you’ll never be just another remote hire. Be a Smart Worker - valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition. If that sounds like your kind of place, we’d love to hear your story.