Retail Analytics Data Engineer (2+ years exp)

A data-driven retail analytics company that provides insights to major retailers using SQL and ETL tools.
Chippendale NSW 2008, Australia
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
Enterprise SaaS · Retail

Description For Retail Analytics Data Engineer (2+ years exp)

ShopGrok is a data-driven retail analytics company that's transforming how major retailers leverage their data for insights. As a Retail Analytics Data Engineer, you'll be at the core of our data operations, working directly with the Founder, COO, and Senior Data Engineers to build and maintain sophisticated data pipelines and analytics solutions.

The role combines technical expertise in SQL, ETL processes, and data visualization with the opportunity to directly impact how some of the world's biggest retailers make decisions. You'll be working with a modern tech stack including Snowflake, Alteryx, GCP, and Tableau, while having the autonomy to shape and improve our data infrastructure.

This position is perfect for a data professional who thrives on solving complex problems and has a passion for turning raw data into actionable insights. You'll need to bring at least 2 years of professional experience in SQL and ETL workflows, along with strong analytical and communication skills. The role offers significant growth potential, with opportunities to advance to a Senior Data Engineer position within 12 months based on performance.

Working in a hybrid environment in Chippendale, Sydney, you'll enjoy the benefits of a startup culture combined with the stability of working with established retail clients. The position offers competitive compensation, a flexible work environment, and various perks including a vibrant coworking space with community events and amenities.

The ideal candidate will be technically proficient, collaborative, and data-driven, with a keen eye for detail and a systematic approach to problem-solving. If you're excited about the opportunity to make a significant impact in retail analytics while working with cutting-edge data technologies, this role offers the perfect blend of challenge and growth potential.

Last updated 5 days ago

Responsibilities For Retail Analytics Data Engineer (2+ years exp)

  • Collaborate with Founder, COO and Data Engineering team to bring analytical prototypes to production
  • Collaborate with customers' analytics teams for requirements gathering, data mapping, and feedback collection
  • Lead data workstreams end-to-end
  • Analyze raw retail data: assessing quality, cleansing, structuring for downstream processing
  • Build and maintain SQL datasets and Alteryx workflows
  • Work with technology stack including Snowflake, Alteryx, GCP, and Tableau

Requirements For Retail Analytics Data Engineer (2+ years exp)

PostgreSQL
  • Bachelor's degree in Software Engineering, Software Development, Data Analytics or related discipline
  • 2+ years professional experience working in SQL
  • Experience in building robust and extensible data pipelines
  • Alteryx Designer Core Certification or willingness to obtain it
  • 2+ years professional experience building and scheduling ETL workflows
  • Proficiency in data cleansing including regex, data transpose/crosstab, join, group, union
  • Good stakeholder management skills
  • Good written and verbal communication skills
  • Ability to work autonomously

Benefits For Retail Analytics Data Engineer (2+ years exp)

  • Competitive salary with startup perks
  • Flexible and remote-friendly work environment
  • Opportunity for quick progression to Senior Data Engineer role
  • Comfortable office within coworking community
  • Friday drinks
  • Free coffee
  • Open work spaces
  • Community events

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