Data Engineer

Australian Citizens residing in Australia with Baseline Clearance only respond.

• Contract start 14 April 2023 to 12 months, 12 months extensions.
• Australian Citizen, Baseline Clearance, Canberra or Brisbane, Hybrid role.

Send your responses to
Overview
Data Engineer

• Understand complex information systems and design effective data solutions and models to store and retrieve departmental data in adherence to enterprise standards.
• Drive Stakeholder workshops in order to identify client requirements and conceptualise and communicate these requirements via visual aids such as Data models.
• Lead and champion designs including Data Integration Designs, Data Structures, Data Flows, Solution Architectures, Design Standards, Data Strategies to both business executive as well as to technical staff.
• Configure data stores and data flows across our enterprise platforms (including MS Synapse, IBM Domino, Oracle database and Teradata EDW environment)
• Recommend solutions and patterns for improving processes in existing or new systems/capabilities.
• Support the iterative design and definition of common entities in the Enterprise Data Model

Work collaboratively in Scaled Agile Framework team to deliver contemporary data solutions, prototypes in a hybrid hyperscale cloud environment.
The Deliverables for the Data Engineer include, but are not limited to the following:
Data Management artefacts including Data Strategies, business glossaries, business rules,
data quality, governance principles, stakeholder engagements and presentation/showcases
Data Architecture artefacts including Solution Architecture Documents, Patterns, Design
Standards and Options papers
Data Modelling artefacts such as conceptual, logical and physical models, data dictionaries
and canonical/enterprise data/information models
Configuration of Microsoft Synapse and related tools to implement relevant data flows and
data governance.
Required skills and experience
Data Engineer
Demonstrated ability to lead a team of developers and Data Engineers in building effective
data products.
Demonstrated experience implementing and supporting large data integration patterns
and complex data migrations.
Demonstrated experience in implementing data transfer patterns including event,
streaming and batch processes.
Demonstrated experience in both ETL and ELT tools and techniques.
Familiarity with emerging agile Data management approaches including DataOps and
MLOps.
Demonstrated release management experience in coordinating concurrent releases as part
of a hybrid Scaled Agile / Waterfall delivery process within a large organisation.
A strong ability to adapt to, and work across various delivery methodologies (ITIL, Agile,
SAFe etc.)
Demonstrated ability to work effectively with multi-disciplinary teams.
A continuous improvement mindset.
A proven ability to communicate with a range of stakeholders.
Proven interpersonal (soft) and communication skills.
Experience using Azure DevOps, SharePoint and TRIM highly valued.
Qualifications on Microsoft Synapse Platform or related Microsoft Products or equivalent
experience and ability to gain this qualification
Every application requires to address selection criteria as part of application submission.
Essential Criteria
1. Experience with Azure DevOps, Data Factory, SQL Server, Blob/Gen2 Data Lake storage and Azure Synapse. (60%).
2. Experience working in an agile software development team. (20%).
3. Bachelors degree in Computer Science or a relevant qualification in information
technology field. (20%).