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Data Engineer

Melbourne, Australia

Data Engineer

  • Melbourne, Australia
  • Full time
  • PageUp People

Here’s what we know for sure: companies work well when they’ve got the right people. That’s what inspired us to build a SaaS platform that makes recruiting, on-boarding, developing and retaining people simple. From humble beginnings in Melbourne, we quickly grew and now we’re proud to have homes in Sydney, New York, London, Singapore, Manila and Dublin and a platform that is used by 2.6 million customer employee users in over 190 countries. (But that’s enough about us.)

About the role

We have a large Postgres data warehouse and pipelines built using DBT, Python, Docker, Lambdas and other AWS technologies. It fuels the Reporting & Analytics offering for our some of our Customers as well as some internal data projection capabilities for product capabilities. As such, this itself is a fantastic technology space to work with. But that’s not all, we are keen to take this to the next level. 

In the short term we are looking to transition all our customers to the new offering based on the technologies above with Looker being the front end for Analytics experience. That means we have to think enterprise scale and volume. We have some of the best tools in the business to enable system observability using OpenTelemetry & Honeycomb.

Overtime we want to grow into Data science, leveraging our data warehouse, pipeline & analytics capability to build a modern next generation data science and machine learning learning offering enabling the customer jobs to be done.

We are looking for someone who is excited about this journey, someone who has seen parts of this journey in previous workplaces, familiar with at least some of the technologies mentioned. This is a key role in building and influencing the long term outcome and has good potential for growth.

  • A key contributor to PageUp Data team in enabling modern reporting and Analytics roll out and a positioning for modern data science offerings.

  • Ability to get the ball rolling with hands on knowledge in Data pipelining, data modelling, related application development & SQL DB Skills.

  • Partner with Data analyst and Product Manager to build a roadmap along with Technical lead and contribute towards maturing the data capability in PageUp.

Experience & Skills

  • Data pipeline experience - Modern ETL’s

  • Date Warehousing Experience - 

  • SQL/ Python experience preferable

  • Some application application development experience, exposure dotnet technology stack, aws, containers 

  • Problem Solving skills

  • Communication skills

And of course, the perks

PageUp Product development team is THE FUN place to be in, especially the Platform Stream. You’ve got some excellent company waiting in the team. At PageUp, we know people come with various preferences and we value it, So there is something for everyone across our benefits – an extra day of leave to do something awesome (no really – it’s called Awesome Day), paid parental leave for primary and secondary carers, flexible working, a wellbeing allowance, employee assistance program and volunteer leave. 

Our global presence also means those with a little wonderlust have the opportunity to take their career to new places. Pardon the pun.

Sound like your kind of role? Then we’d love to meet you!

At PageUp we know diverse teams make better decisions for everyone, so we encourage people of all backgrounds and abilities to apply.

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and those in other underrepresented groups tend to only apply when they match every criteria. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.

Equal Opportunity at PageUp

We are an equal opportunity employer and value diversity, equality, inclusion, and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or genetic information.

 

 

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