Data Engineers

Application closing date: Thursday, 17 August 2023 • 11:59pm, Canberra time (in Canberra)

Estimated start date: Thursday, 31 August 2023

Location of work: ACT, Offsite

Length of contract: 12 months

Contract extensions: 1 x 6 months

Working arrangements: To be agreed with the hiring manager. Working from home arrangements are considered subject to home-based work application and suitability.

Security clearance: Must be able to obtain Baseline

Rates: $110 - $150 per hour (inc. super)

At the Clean Energy Regulator, you're signing up for a challenging and rewarding workplace. All our work is connected to measuring, managing, reducing, or offsetting carbon emissions and increasing the use of clean energy in Australia.

The Data and Innovation section supports the agency to unlock the potential of our data to drive innovation and compliance for the agency. With a major uplift in data capability for the Agency, planned and delivered through our change program, there are vast opportunities to be a key contributor to drive, design and deliver policies, frameworks, and infrastructure to suit the agency's data operation needs.  

As an experienced Data Engineer you will be part of a dedicated team that will clarify accountability to better enable crucial products needed to support program-level transparency and efficiency in data migration, data architecture design and analytics.  

Role Responsibilities and Duties

• Harmonizing the data migration, data architecture design and analytics across different schemes needed to effectively manage resources and delivery operations.
• Collecting data in an unformed and consistent way.
• Decrease the data migration complexity with well-defined common entity designs across the projects.
• Defining a common set of semantics being managed and reflected in the data architecture.
• Hold workshops to determine common and specific data attribution for each scheme.
• Implement data pipelines across D365 into DataLake and Synapse Analysis

Essential Criteria

1. Minimum 7 years' experience as a data engineer within the data and analytics domain
2. Strong project delivery toolset experience in data integration tools
3. Experience with processing large volumes of complex data. 
4. Ability to assess complexity of data (volume, structure, relationship etc.)
5. A strong understanding of data modelling, data structures, databases, and processes
6. Hands on technical expertise implementing and delivering data solutions and pipelines in Azure.
7. Hands on technical expertise working with DataLake and Synapse Analytics
8. Hands on technical expertise working with Dynamics 365 Dataverse and SQL data sources.
9. Hands on technical expertise setting up DevOps automation using tools such as GitHub etc.
10. Experience building data profiling, data cleansing and data engineering frameworks.
11. Exceptional communication, documentation, and presentation skills
12. Will require Australian Citizenship with a Baseline Security clearance as a minimum.

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