Data Engineer

Sydney
Full Time
WHY JOIN?

Australian Hyper-Growth Startup - Head Office in Sydney
Winner of Westpac Innovative Business of Tomorrow 2018
No. 5 on Forbes Cloud 100 for 2018: Rising stars
Deloitte's #21 Fastest Growing Technology Startups in Aus 2018
Raised $111M Series B Round led by IVP, OpenView (our Series A investor), Square Peg Capital and EVP.
Global Growth across APAC, America and EMEA.

Make a genuine impact on the growth of Deputy and influence how processes are established as we scale internationally!

SUMMARY
You will be our first Data Engineer, working with the Head of Data Science. Right now, we have an assorted data pipeline, you get a chance to build the pipeline from scratch which will scale as the company grows.

THE ROLE
You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

YOU
Are an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. As an experienced Data Engineer you will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. You will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.


RESPONSIBILITIES

    • Create and maintain optimal data pipeline architecture,Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
    • Work with stakeholders including the Engineering, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
    • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Work with data and analytics experts to strive for greater functionality in our data systems.

QUALIFICATIONS

    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Experience building and optimizing data pipelines, architectures and data sets.
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Strong analytic skills related to working with unstructured datasets.
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • Working knowledge of message queuing, stream processing, and highly scalable data stores.
    • Strong project management and organizational supporting and working with cross-functional teams in a dynamic environment.
    • We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
    • You should also have experience using the following software/tools:
    • Experience with big data tools would be beneficial but not prerequisite: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
    • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
PERKS

* Hack Days * Training * Career Development * Flexible Work * Catered lunch * Team Building Events *

WANT TO KNOW MORE?

At Deputy we’re on a mission to change the way the world works. Since 2008 over 200 million shifts have been rostered on Deputy, in over 80 countries, and across 245 different industries. We were #21 in Deloitte’s Fastest Growing Tech Startups 2018, winner of Westpac’s Innovative Business of Tomorrow 2018, and #5 in Forbes’ Cloud 100 2018. And we’re only just getting started.

We’re making it easier for businesses and teams to roster staff, manage leave, complete payroll and take the admin out of work so that our customers can focus on doing what they love. We hire amazing people to do what they’re best at, and work with some incredible businesses all around the world.

Check out these videos: Deputy Explained, #DeputyDays

Check out why our employees and customers love us: Jess (SalesHannah (UX/UI Design), Louis (Head of Mobile)GetApp and G2Crowd

Deputy believes in equal opportunity and that inclusiveness and diversity promotes innovation. Our global team members are from a variety of cultures. And we welcome different perspective and skills. 

Interested? Apply now