Senior App & Frontend Developer AS233

Smart Working SolutionsSmart Working Solutions·Remote·Work From Anywhere
Software Development
Excel

WFA Digital Insight

As the remote job market continues to grow, demand for skilled professionals in data engineering and frontend development has skyrocketed. With a 25% increase in job postings for data-related roles in the past year, it's clear that companies are looking for experts who can drive business decisions with data. Smart Working Solutions stands out for its commitment to remote work and employee growth, making this role an attractive opportunity for those looking to make a meaningful impact. Before applying, candidates should be prepared to showcase their technical skills, particularly in Google BigQuery, Looker, and data modeling.

Job Description

About the Role

The Senior App & Frontend Developer role at Smart Working Solutions is a long-term, strategic position that requires a unique blend of technical expertise and collaboration skills. As a key member of the engineering and analytics team, you will be responsible for designing, building, and maintaining robust ETL/ELT pipelines, data models, and frontend applications that drive business decisions. You will work closely with stakeholders across commercial, product, and marketing to ensure that data is reliable, scalable, and meaningful.

The role is embedded in a collaborative team environment, where you will have the opportunity to contribute to the development of best practices, mentor junior team members, and stay up-to-date with the latest developments in the modern data stack. With a focus on remote work and employee growth, Smart Working Solutions offers a unique opportunity for professionals to thrive in a dynamic and supportive environment.

What You Will Do

  • 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 modeling principles, with a focus on clarity, reuse, and performance
  • Own the Google BigQuery environment, optimizing 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 rigor across the data function
  • Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate

What We Are Looking For

  • 5+ years of experience in SQL and data modeling, with strong command of dimensional modeling, star schemas, and performance optimization
  • 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
  • Ability 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

Benefits and Perks

  • Competitive salary and benefits package
  • Opportunity to work with a leading company in the industry
  • Collaborative and dynamic team environment
  • Professional development and growth opportunities
  • Flexible working hours and remote work options
  • Access to the latest tools and technologies
  • Recognition and reward for outstanding performance

How to Stand Out

  • Make sure to highlight your experience with Google BigQuery, Looker, and data modeling in your application
  • Showcase your ability to communicate complex technical concepts to non-technical stakeholders
  • Be prepared to provide examples of your experience leading data projects end-to-end
  • Familiarize yourself with the company's technology stack and be ready to discuss your experience with similar tools
  • Don't be afraid to ask about the company culture and values during the interview process
  • Be prepared to discuss your experience with data quality and testing frameworks
  • Highlight any experience you have with cloud-native technologies and modern data stacks

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