About the role

  • Data Engineer developing data models to support Analytics team at SafetyCulture. Collaborating with stakeholders to turn large data sets into valuable insights.

Responsibilities

  • Deliver big data datasets on time and with quality using the most out of our infrastructure.
  • Support the design of new feature data tracking to match our patterns.
  • Apply software engineering principles to our data pipeline, providing reusable and efficient code in Python, Scala and SQL.
  • Support our infrastructure in AWS and Databricks using Terraform.
  • Manage our data architecture via orchestration tools like Airflow.
  • Manage and optimise data at scale with Data Lake (Delta), Data Warehouse (Redshift and Databricks), ML architecture and external tools (Fivetran and Segment)
  • Work closely with the Software Engineers to design efficient data contracts, ensuring the requirements of data analysts, and support the analytics engineer team with sourcing very reliable datasets.
  • Contribute to fostering an open, positive atmosphere within the team, promoting collaboration, learning, and growth.

Requirements

  • Experience with data engineering architecture and cloud base solutions for big data.
  • Python or Scala - Comfort of writing solutions for scalable pipelines in Apache Spark.
  • Data Orchestration tools such as Apache Airflow.
  • AWS Infrastructure Experience (Terraform, EMR, S3, Glue).
  • Data warehouse experience (Redshift, Databricks or Snowflake).
  • Curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
  • High level of comfort with ambiguity and ability to work in a fast-paced, agile environment in which you rapidly adapt and learn for any given business problem.

Benefits

  • Equity with high growth potential, and a competitive salary
  • Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office
  • Access to professional and personal training and development opportunities
  • Hackathons, Workshops, Lunch & Learns
  • We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies
  • In-house Culinary Crew serving up daily breakfast, lunch and snacks.
  • Barista coffee machine, craft beer on tap, boutique wines and a range of non-alcoholic beverages.
  • Wellbeing initiatives such as subsidized fitness programs, EAP services and generous parental leave policy.
  • Quarterly celebrations and team events, including the annual Shiplt global offsite.
  • On-site gym, table tennis, board games, books library, and pet-friendly offices.

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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