Data Engineer Roles
Data Engineer at Publicis Media delivering data solutions for the marketing technology ecosystem, working with architects, analysts, and data scientists on data warehousing, ETL, and BI work. Core stack includes Python, C++, Java, R, and SQL; cloud platform experience (Azure, AWS, GCP) is beneficial.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Relevant tertiary qualification or minimum 5 years of relevant experience in lieu of qualification
- Proven experience as a data engineer, software developer, or similar
- Expert proficiency in Python, C++, Java, R, and SQL
- Excellent analytical and problem-solving skills
- Able to work independently and collaboratively as part of a team
- Strong presentation and written communication skills, able to explain 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
- Knowledge of data warehousing, ETL strategies and tools, and BI tools
Nice to have
- Experience with cloud platforms such as Azure, AWS and GCP
Full description
Job Type: Permanent position | Full time position
Job Description
Data Engineer Trading under Publicis Communications Location: Sydney or Melbourne or Brisbane Data Engineer (also known as BI Developer, Quantitative Data Engineer, Search Engineer, Technical Architect, Big Data Analyst, Solutions Architect, Data Warehouse Engineer, Data Science Software Engineer, ETL Developer) The role of the Data Engineer is to work alongside solution architects, data analysts & data scientists to deliver various aspects of the marketing technology ecosystem. The Data Engineer is responsible for engaging machine learning techniques to create and sustain structures that allow for the analysis of data whilst remaining familiar with dominant programming and deployment strategies. 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.
Data Engineer Responsibilities:
- 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
- Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.
Data Engineer Requirements:
- All of the above roles require a relevant tertiary qualification or a minimum of 5 years of relevant experience in lieu of qualification.
- Proven experience as a data engineer, software developer, or similar.
- Expert proficiency in Python, C++, Java, R, and SQL.
- Excellent analytical and problem-solving skills.
- Works well independently but also a team player and able to work collaboratively
- Scrupulous approach to duties.
- Strong presentation and written communication skills, with ability to communicate technical concepts to non-technical colleagues and clients