Lead Data Engineer – Azure | NV1 | Canberra
Pinaka · Canberra, Australia ·
- Seniority
- Lead
- Employment
- Contract
- Category
- Data engineering
- Experience
- 5+ years
- Visa sponsorship
- No
Pinaka · Canberra, Australia ·
Pinaka Technology Solutions Pty Ltd · Australia
Pinaka Technology Solutions · Canberra Region, Australian Capital Territory
Whizdom · Canberra ACT
IT Alliance · Canberra, Australia
12-month (extendable) contract Lead Data Engineer role at the Department of Agriculture, Fisheries and Forestry in Canberra, building ETL/ELT pipelines, data transformations and Power BI visualisations on Azure, Databricks and Spark. Requires Australian citizenship and NV1 clearance eligibility; hybrid with 3 office days per week.
Australian citizenship required. Must be able to obtain Negative Vetting Level 1 security clearance.
Location: Canberra (Hybrid).
Australian citizenship required. Must be able to obtain Negative Vetting Level 1 security clearance.
Location: Canberra (Hybrid).
The Department of Agriculture, Fisheries and Forestry (DAFF) is looking for a Data Engineer to join its Enterprise Analytics and Technology Services (EATS) section to work across its data and analytics platforms. We are seeking candidates with strong experience in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, and /or the development of data products and complex data visualisations.
The role will be responsible for design, development and testing activities across several data movement, data transformation, and data visualisation processes within DAFF. The data movement and transformation processes focus on the preparation of data for use in decision making processes across the department, utilising modern cloud technology (Azure & Databricks) to enable operational analytics use cases.
To be successful in the role, you must have a strong work ethic including taking ownership, providing leadership, having a high level of productivity, and working with a multi-disciplinary team in an Agile development environment. You must have suitable qualifications or training in data engineering techniques and at least 5 years’ experience working as a data engineer.
Candidates must hold a valid Negative Vetting Level 1 security clearance or be willing and eligible to obtain one. Commencement within the section is contingent on the candidate obtaining a Baseline clearance. Please provide your CSID on your resume/CV (if known).
See above.
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