About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isnât just another remote opportunity - itâs about finding where you truly belong, no matter where you are. From day one, youâre 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 youâre 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
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.
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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.
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
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At Smart Working, youâll 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, weâd love to hear your story.
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