About

Data Engineer
Publicis Media Australia
Location: Sydney
Salary: 115,000 package – 125,000 package

Job Description

We’re looking for a mid-senior level Data Engineer to join our growing, dynamic Marketing Technology team in Sydney. 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

Skills & Qualifications:
• This position requires a relevant tertiary qualification or a minimum of 5 years of relevant experience in lieu of qualification.
• The person we are looking for should have strong data engineering experience, preferably in an agency or consulting environment.
• 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
o Power BI / Tableau / Looker
o building ETL process with SQL on Oracle / SQL Server / MySQL
• Proficiency/ working knowledge of
o R to maintain existing solutions
o data warehouse solutions including BigQuery / Redshift / Snowflake
• Beneficial but not mandatory working knowledge:
o cloud platforms such as AWS / Azure / GCP
o ETL services such as Talend / Apache NiFi, is beneficial
o programming languages such as Python / NodeJS / Java is beneficial
o Docker

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