Data Engineer - 12-month opportunity

Melbourne
Full time
Posted
employer logo
Aesop
Retail & fashion
501-1,000 employees
10 jobs
Apply on company site

For over 37 years, Aesop has carefully cultivated an inspiring and inclusive environment in which our employees are supported and encouraged to thrive. As a global retail organisation, we offer professional development and advancement opportunities to complement career goals and aspirations.

We aim to strike the right balance between people, planet, and profit, actively reducing our footprint on the planet that generously sustains us. So far, this journey has led us to become a certified B Corp. We are collectively committed to building a more sustainable and inclusive society.

Aesop is an endorsed employer for all women. See our range of benefits and policies directly at Work180: Aesop - Work180 Endorsed Employer.

Role Purpose

Aesop are seeking an analytical and innovative Data Engineer to join for 12-months operating with a hybrid working pattern, based at our global head office in Collingwood.

Reporting to the Senior Data Engineer, you will work with the Digital, Technology, and Data teams under the guidance of the Engineering Lead to build well-tested and scalable data services for Aesop globally. This role requires collaboration with Senior Data Engineers, Data & Insights Lead, and Data Product Owners to support the smooth build and operation of the new and existing data platforms.

In this role, you will be responsible for the execution and delivery of data solutions and are expected to contribute to decisions leading to the modernisation of the Aesop’s data stack.

Some things you may find yourself doing

  • Ensure data assets and applications meets the industry standards. Ability to create relational and non-relational data models.
  • Deliver data solutions that are maintainable, appropriate for the business’ needs, scalable, documented, and take pride in clean solutions.
  • Ensure, through the development and use of coding standards and automation, that deployed code meets Aesop engineering practice standards for technical delivery and maintainability.
  • Help Aesop on its way to upgrading and transforming its data footprint. Learn and improve data ops capabilities following agile development practices for data.
  • Work within a cross-functional team and be keen to research modern and efficient tools which will help the team make informed decisions about data architecture, development, and operations.
  • Contribute to the development of technical architecture in line with the technical strategy of the business.
  • Work with Aesop vendors who are providing development and data engineering services to ensure consistency of approach so Aesop development and data science team can absorb projects back into the team.
  • Provide data engineering capability within Aesop. This includes extracting data from multiple data sources and making it available to recommended Aesop data warehouse solution. Schedule, automate, and monitor data pipelines.
  • Develop data solutions that adhere to best security and operation practices, while running workloads in cloud infrastructure primarily Azure.

What we are looking for

  • Strong experience working as a Data Engineer in an Agile team within the Azure product ecosystem including Azure data factory, Synapse Analytics, Databricks.
  • Significant experience with modern data engineering technologies (MySQL, MS SQL Server, non-relational DB, etc) in any of the cloud stacks (Azure, AWS, GCP).
  • Strong experience in programming languages like SQL, Python and pyspark.
  • Solid understanding of ETL and data ingestion processes and approaches with an ability to design and build them.
  • Excellent knowledge of DB fundamentals including SQL, Data Modelling and DB architectural considerations.
  • Ability to build and extend data models to support business needs
  • Experience with IaC (Infrastructure as Code) preferably Terraform
  • Previous BI experience preferred, but not essential
  • Good understanding of data structures and data pipeline development processes
  • Commercial experience building high availability data services. This includes experience running secure cloud-native applications with operational best practices in place.
  • A humble and honest individual who strives for excellence and is ready to challenge the status quo with people, processes, and tools.

What’s on Offer:

At Aesop, we believe that the best people drive our business to continued success and so we take a holistic approach to employment, promoting employee wellbeing initiatives and encouraging deep connections with the local community through the Aesop Foundation, volunteering, matched giving programs. In addition, we offer:

  • Flexible working arrangements (we value work-life balance)
  • Flexible Fridays (summer hours)
  • Generous product discount of up to 50% & complimentary product allocation
  • Team lunches, sponsored social clubs, team events, and celebrations
  • Parental leave and vaccination leave
  • Individual training budget - strong focus on Learning and Development – access to the entire LinkedIn training library suite, and funded training programs
  • Home office set-up reimbursements
  • Short term incentive bonus programs to reward performance for applicable roles
  • Access to Employee Assistance Program along with other wellbeing offerings including a complimentary Headspace subscription

View our benefits/policies and the great work we do through Work180

Aesop is committed to attracting, developing and retaining the very best people by offering a creative and inclusive workplace where talent is truly recognised and rewarded. We are committed to promoting inclusion for all with the belief that diversity, inclusion and belonging plays an important role in the success of our organisation. We actively encourage everyone to consider becoming a part of our journey.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact our TA team on talentacquisition@aesop.com