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Data Engineer

Private Company - Southbank, VIC

Source: uWorkin

Source: uWorkin


Data Engineer

This role is seconded to Digitas by Publicis Communications, both part of the Publicis Groupe Network of agencies.


$85k– 100k total package

The Location

This position is located in Melbourne, Australia.

Job Description

Right now, we’re looking for a mid-senior level Data Engineer to join our growing, dynamic Marketing Technology team in Melbourne. We are looking for a motivated individual to work alongside solution architects, data analysts, and data scientists to deliver various aspects of the marketing technology ecosystem. Data engineering experience is critical, as well as knowledge of data warehousing, ETL strategies and tools, and BI tools. Experience in cloud platforms such as Azure, AWS and GCP is beneficial.

You’ll be responsible for:

Anticipating and mitigating delivery risks and following issues through to closure]

Advocating for data management methodologies and processes on all projects

Assuming responsibility for data quality, ensuring that testing is carried out in a rigorous fashion resulting in production of high-quality deliverables

Adopting a flexible approach to completing workload to ensuring timely delivery and reinforcing commitment to delivery and quality within the technical team, including offshore development centres

Creating and managing the relevant technical design documentation and ensures the documents completeness and accuracy

Ensuring that data architecture is implemented according to the design

Ensuring solutions delivered use existing standards and frameworks

Contributing to business development efforts through accurate project scoping, estimating and attending sales calls when required

Collaborating with globally dispersed teams on international projects. This includes co-ordinating build activities with offshore development centres in India and Asia Pacific


The person we are looking for should have strong data engineering experience, preferably in an agency or consulting environment.

Skills & Qualifications:

Degree in Software Engineering or Computer Science or related field, has worked in data engineering / data management for at least 5 years

Detailed knowledge of database technologies, data processing methodologies, BI tools, modelling techniques, data management principles, and software design

Experience designing and developing solutions involving a high degree of technical complexity

Solid problem-solving skills, ability to dissect complex data, investigate and identify anomalies, evaluate and reach appropriate solutions

Strong presentation and written communication skills, with ability to communicate technical concepts to non-technical colleagues and clients

Experience developing data processing and analytics solutions in a digital agency or IT consultancy as part of a multi-disciplinary team

Hands-on experience in

Power BI / Tableau / Looker

building ETL process with SQL on Oracle / SQL Server / MySQL

Proficiency/ working knowledge of

R to maintain existing solutions

data warehouse solutions including BigQuery / Redshift / Snowflake

Beneficial but not mandatory working knowledge:

cloud platforms such as AWS / Azure / GCP

ETL services such as Talend / Apache NiFi, is beneficial

programming languages such as Python / NodeJS / Java is beneficial