Data Engineer

Richmond, Australia

Movember

Unite to take on mental health, suicide, prostate cancer and testicular cancer.

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We are seeking a Data Engineer to join our Melbourne team.

The Data Engineer works collaboratively to deliver automated data solutions that will help enable broader insights to increase funds raised, improve efficiencies and impact from marketing spend, and measure outcomes from programs digital tools and health promotion campaigns.

The Data engineer will ensure delivery of best practice data processing techniques, that also align to the broader Enterprise Architecture framework and roadmap. This is a highly technical role with a small element of direct business partnering (approximately 5%). Whilst it is critical that the Data Engineer proactively collaborates with the Insights and Technology team on upfront design, there are aspects of the role that are highly autonomous.

Systems, infrastructure & data

  • Collaborate with relevant functions to build and maintain Movember's data infrastructure, including databases, data warehouses, and data pipelines for a single source of truth
  • Develop an understanding of short & long term data requirements across the organisation. Design & implement data architecture solutions to accommodate these requirements
  • Working with the Data Team, Insights Team, Digital Data Resources, developers and TechMo’s to maintain and develop analytics databases. This involves work with data pipelines and tuning databases for fast analytics and reporting.
  • Apply domain expertise (Cloud, micro services, DevOps, production analytics platforms) and innovative ideas to architect/design solutions
  • Develop an in-depth understanding of the various technologies and frameworks, and how to combine them to create and iterate solutions to enable and improve the data pipeline processes

Transform data into information & insights

  • Ensure that internal and external, raw, structured and unstructured data is cleaned, available, timely, accurate, secure and useful for desired analysis and reporting
  • Design and build scalable machine learning solutions

For this role, you’ll need:

  • Degree in Computer Science, Business studies or Engineering discipline with specific studies in Information Technology
  • 3-5 years experience in a data engineer / analytical engineer role
  • Experience in Data Engineering to automate, store and make accessible data to support business activities and initiatives.
  • Excellent interpersonal and relationship building skills with the ability and confidence to liaise with people at all levels of an organisation;
  • Meticulous attention to detail
  • Ability to communicate ideas, processes and practices clearly
  • Strong organisational skills and comfortable with working to deadlines
  • An ability to multitask and manage short and long term priorities;
  • Articulate and illustrate data and technical issues effectively in a compelling way using common business language
  • Cloud Data Warehousing and Data Lake experience
  • Design, implement, and optimise data pipelines using Snowflake and related technologies
  • Understanding of ETL processes and data architecture
  • Experienced in Python, or other programming languages
  • Advanced working SQL knowledge and experience working with relational databases
  • Skills in micro-services/API development and continuous delivery
  • Experience building and optimising ‘big data’ data pipelines, architectures and data sets
  • Good understanding of Data / Analytics related architecture
  • Understanding of wider business data connections

Desirable:

  • Experience developing business intelligence dashboards.
  • Experience using an array of platforms including Tableau or Microsoft PowerBI, Google Analytics, Optimizely, Google Tag Manager, Salesforce Marketing Cloud, and Salesforce CRM
  • Experience using AWS products to build data pipelines

GOOD CAUSE:
Working for Movember, you’ll help raise millions for men’s health (not for a CEO’s bonus). And all those dollars do a whole lotta good. We’ve funded cancer research. Created lifesaving medicines. And helped make cancer treatments less “one-size-fits-all”, and more specific to each patient’s needs.

We’re even calling for governments worldwide to get it together on men’s health. By meeting directly with policymakers so they change the systems that change men’s health.

GOOD VIBES:
The vibes aren’t just for Fridays – even though we start weekends early nine months of the year. Here, it always feels like something big’s about to happen. Be it an office-wide surprise birthday party (with cake!) or an impromptu all-staff boogie.

Come the hairy season, the energy gets silly. We’re talking celebrity visits. Live stunts on-site for TV and radio. And when we hit a fundraising milestone, the office gong might even go off. And that means one thing: it’s conga time.

GOOD CREW:
Let’s just get this out of the way: big egos need not apply. We’re all about straight-up solid human beings out to do meaningful work. People who’ll help you reach career-best moments. And give you the freedom to get there the best way you see fit.

Hybrid remote working is the norm. And in the office, you can sit where you please. Who knows? On any given day you could even end up desk buddies with the man who started this all.

  • Flexible hybrid working from home and our modern Richmond office
  • Finish work at 2pm on Fridays (Dec-Aug)
  • NFP salary packaging (pay less tax)
  • 13 weeks paid parental leave and 5 weeks annual leave
  • Fun & collaborative culture with employee social events
  • Free Headspace subscription and other wellbeing initiative
  • Relaxed dress code

Boy, do we know the feeling of being judged. (Over how we look, and other things that shouldn’t matter.) Being different is how we started. And it’s also helped us raise $1 billion for men’s health. So, we know the power of diverse experiences, skills and perspectives.

And another impressive number is our WGEA gender pay gap: it sits at a big, fat, round 0%. If you’ve got the relevant skills and the right attitude, let nothing stand in your way of firing off your application.

Do you want to DO GOOD?
If so, we’d love to hear from you.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: API Development APIs Architecture AWS Big Data Business Intelligence Computer Science Data pipelines Data Warehousing DevOps Engineering ETL Machine Learning Pipelines Power BI Python RDBMS Research Salesforce Snowflake SQL Tableau Unstructured data

Perks/benefits: Career development Flex hours Flex vacation Parental leave Salary bonus Team events

Region: Asia/Pacific
Country: Australia

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