Data Engineer

2 days ago


Sydney, New South Wales, Australia Deputy Full time
About Deputy

Deputy is a global SaaS workforce management company that empowers businesses to build thriving workplaces. With a presence in 100+ countries and serving over 330,000 workplaces, we're committed to making a positive impact on the world of work.

The Role

We're seeking an experienced Analytics Engineer to join our team. As a key member of our data engineering team, you'll be responsible for designing and optimizing data pipelines and architectures using Databricks Data Warehouse. Your expertise will ensure scalability and reliability for large data volumes.

You'll collaborate with data architects, analysts, and data scientists to deliver data solutions that align with business objectives. Your skills in SQL, relational databases, and dbt will be essential in building efficient data pipelines and transforming raw data into actionable insights.

As an Analytics Engineer, you'll have the opportunity to work on advanced analytics solutions, including machine learning models and predictive analytics. You'll also establish best practices for data quality, governance, and security to maintain the integrity of our data assets.

We're looking for someone who is passionate about improving the world of work and has a strong background in computer science, information systems, or a related field. If you're a skilled engineer who enjoys working on data systems and optimizing existing ones, we'd love to hear from you.

Responsibilities
  • Design and optimize data pipelines and architectures using Databricks Data Warehouse
  • Collaborate with data engineering to build infrastructure for data extraction, transformation, and loading using SQL and AWS big data technologies
  • Utilize dbt to create and maintain efficient data models, transforming raw data into actionable insights
  • Develop advanced analytics solutions, including machine learning models and predictive analytics
  • Work closely with cross-functional teams to deliver data solutions that align with business objectives
  • Establish best practices for data quality, governance, and security
Requirements
  • 2-3 years of experience in a technical analytics or data engineering role
  • Expertise in SQL and relational databases
  • Skilled in using dbt for data modeling and transformation
  • Experience in applying advanced analytics techniques, such as machine learning and predictive modeling
  • Proficiency in using analytical tools and libraries like Pandas, NumPy, and Scikit-learn
What We Offer
  • Ownership in the company via share options
  • Paternity/maternity leave policies
  • Flexible remote-first work policy
  • Company-wide development and coaching
  • Hackathons
  • Awards for outstanding performance
  • Social events and social clubs
  • Mental health support

We believe in equal opportunity and that inclusiveness and diversity promote innovation. Our global team members come from a variety of cultures, and we welcome different perspectives and skills.


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