Data Engineer at SafetyCulture

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Solutions, Python, Scala, Apache Spark, Data Orchestration, Apache Airflow, AWS, Terraform, Data Warehouse, Redshift, Databricks, ML Architecture, Data Lake, Data Transformation, Intellectual Curiosity

Industry

Software Development

Description

SafetyCulture is a customer and product-led SAAS company, our mission is to help working teams get better every day, our technology platform and products give front line workers a voice and leaders the visibility to make smart decisions when driving safety, quality and continuous improvement. As part of the Data & Analytics team, you’ll use your skills to help us understand what’s working for our customers, what’s not, and what we need to do next to improve our products and grow our business. Working as a Data Engineer, you will provide reliable, accurate & quality data sets to the Analytics team, as well as design architectures that can deliver the data on time for the analytics engineers and data analysts to use and provide value to the business with our Petabyte size data lake. SafetyCulture is expanding rapidly which requires the Data Engineer to integrate different systems and datasets from differing business contexts. A Data Engineer at SafetyCulture is responsible for empowering the Data Analytics team with the right data model for their needs, enabling them to find insights that can make a change to SafetyCulture as a company. This is a key role in keeping the organization's knowledge organized, easily accessible, and accurate. As a Data Engineer you collaborate with different stakeholders across the business (Finance/Marketing/Sales) to turn billions of rows of source data into highly valuable datasets and data products. SafetyCulture is expanding rapidly which requires the Data Engineer to integrate different systems and datasets from differing business contexts. \n What you will be doing: 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. What you will need to be successful? Experience with data engineering architecture and cloud base solutions for big data. Python or Scala - Confort 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. Nice skills to have: Familiarity with streaming platforms as Apache Kafka Experience with container technologies like Kubernetes and Docker Support to data transformation tools as dbt Intellectual curiosity and an understanding of what drives customer outcomes and has a positive impact on the business Experience with designing data solutions for SaaS industry More than a job, what do you get? 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 Office benefits at our Sydney HQ: 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. \n We’re committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day. We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates. Thanks to the tireless efforts of the entire SafetyCulture team we’ve built an incredible culture which has seen us recognised as a Best Place to Work in Australia, the US and the UK. You can find out more about life at SafetyCulture via Youtube, Twitter, Instagram and LinkedIn. More than 28,000 organisations use our flagship products, iAuditor and EdApp, to perform checks, train staff, report issues, automate tasks and communicate fluidly. SafetyCulture powers over 600 million checks per year, approximately 50,000 lessons per day and millions of corrective actions, giving leaders visibility and workers a voice in driving safety, quality and efficiency improvements. To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.

Responsibilities

The Data Engineer will deliver big data datasets on time and with quality, supporting the design of new feature data tracking. They will collaborate with various stakeholders to turn large volumes of source data into valuable datasets and data products.