AGL

Regulatory Data Engineer

Job description

Powering Australian Life.


At AGL, we believe energy makes life better. That’s why we’re passionate about powering the way Australians live, work and move.


Like you, we believe that the world is going through extraordinary challenges. We don’t shy away from the tough questions and we consider the answers carefully. We work in partnership with our customers and communities, and take action to shape a better future for all.


As life changes, we join the change, constantly evolving over 185 years. Today we bring all that know-how to transform how Australians produce, share and consume energy. We’re investing in new ideas, partnerships and infrastructure – renewing and expanding our portfolio of sources and products to help make them more sustainable, reliable, affordable and useful.


We’ll continue to innovate in energy and other essential services to enhance the way Australians live, and to help preserve the world around us for future generations.


About The Role


As a Regulatory Data Engineer within the Data Analytics & Reporting Solutions (DARS) team, you will play a crucial role in our mission to provide data solutions that empower Customer Markets and the broader AGL business.


You will collaborate closely with our technical data team, reporting team, and other key business units to elevate our current processes and seamlessly implement upcoming regulatory changes. Your role will also contribute to the transition from legacy data platforms to our central enterprise data platform.


Key Responsibilities


  • Maintain all regulatory scripts, including updates and deployments on GitHub.
  • Translate SAP knowledge into user-friendly data solutions.
  • Provide agile support to stakeholders, addressing their needs promptly.
  • Collaborate with the reporting team to execute quarterly BAU functions.
  • Identify and plan initiatives for enhancing the end-to-end regulatory return process.
  • Offer technical assistance to address inquiries from business partners and regulators.


About You


We are seeking a candidate with the following qualifications and attributes:


  • Advanced knowledge of Microsoft technology and data architectures, including Azure Synapse, Azure Data Factory, SQL, Excel, and PowerBI.
  • Proven experience with data migration projects.
  • A track record of developing and managing large and complex data solutions.
  • A passion for leveraging data intelligently to enhance stakeholder experiences.
  • Strong communication skills, both written and verbal, to effectively engage with diverse stakeholders.
  • A team-oriented, self-starting attitude with a can-do mindset, adaptable to a dynamic and fast-paced environment.
  • Expertise in data ingestion, data modelling, and data transformation.


What We Offer


  • Competitive salary and benefits package.
  • A supportive and collaborative work environment.
  • Opportunities for professional growth and development.
  • The chance to make a meaningful impact by improving customer experiences and business efficiency.


We’d love to see your application, submitted by this date: Thursday 19th October


#Hybrid


Inclusion at AGL


At AGL, all employees are encouraged to be themselves and to bring their whole selves to work every day. We encourage applications from Aboriginal and/or Torres Strait Islander peoples, people living with disability, culturally and linguistically diverse people and people of the LGBTQ+ community, including transgender, gender diverse, and intersex people.


AGL has a commitment to maintain a diverse workforce, and welcomes the opportunity for applicants to share their lived experiences. We also recognise that some applicants may not wish to disclose, and we respect their decision. To learn more about reasonable adjustments that can be offered throughout the recruitment process, please visit: http://www.agl.com.au/content/dam/digital/agl/documents/about-agl/who-we-are/our-commitments/230417-reasonable-adjustments-guidelines.pdf


AGL is a Circle Back Initiative employer - we commit to respond to every applicant.


Job Family Group


Analytics and Data Science

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