Company Description
Publicis Groupe is not just a company you work for; it’s a platform for you to take your talent to the world.
If you want to help change the world, ideas alone are not enough. Real impact can only come from having meaningful access to a world of knowledge, people and resources. At Publicis Groupe, you are connected to our global network, intelligence, tools, clients, brands and 80,000 brilliant minds with expertise in data, technology, media, strategy, creativity and business transformation, all literally at your fingertips.
Go ahead, the world is waiting.
Publicis Groupe is the third largest communications group in the world. Founded in Paris in 1926, we are present in more than 100 countries as leaders in marketing, communication, and digital business transformation. Two of its biggest solution hubs in Singapore - Publicis Communications and Publicis Media & Digital.
Publicis Communications, the creative communications hub of the Publicis Groupe, is a collective of the most passionate, purposeful, and progressive creative agencies in Singapore. They are Publicis Worldwide, Leo Burnett, Saatchi & Saatchi, Prodigious, and MSL.
Publicis Media & Digital, which is comprised of global media agency brands Starcom, Zenith, Spark Foundry, and Performics, is powered by digital-first, data-driven global practices that together, help our clients navigate the modern media landscape.
Our two other solution hubs, Publicis Sapient and Publicis Commerce, empower businesses to embrace digital transformation and equip them with a total commerce experience.
Responsibilities
Key Responsibilities
- Data Engineering & Architecture
- Design and implement scalable data architectures for ingesting, processing, and storing large volumes of marketing and customer data.
- Own the development of complex data pipelines across multiple data sources (media platforms, CRM, CDP, web analytics, and cloud services).
- Define and implement data modelling standards to support analytics, reporting, and advanced use cases.
- Ensure data quality, observability, and reliability across the data stack.
- Advanced Analytics Enablement
- Partner with analysts and strategists to translate business problems into analytics-ready data structures.
- Enable advanced analytics use cases such as forecasting, experimentation, and audience segmentation through well-designed datasets.
- Review and optimise analytical queries and workflows for performance and scalability.
- Leadership & Stakeholder Engagement
- Act as a technical lead on data engineering initiatives, guiding design decisions and implementation approaches.
- Mentor junior data engineers and analysts, promoting best practices in coding, testing, and documentation.
- Work directly with clients and senior stakeholders to define data strategies, roadmaps, and technical solutions.
- Innovation & Continuous Improvement
- Identify opportunities to improve data pipelines, tooling, and architecture for efficiency and reliability.
- Stay current with emerging technologies in data engineering, cloud platforms, and analytics engineering, and evaluate their applicability.
- Contribute to data governance, security, and compliance standards aligned with organisational and regulatory requirements.
What we’re looking for
- Educational Background
- Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or a related discipline.
- Professional Experience
- At least 4 years of relevant experience in data engineering, analytics engineering, or related roles.
- Proven experience owning or leading end-to-end data engineering solutions.
- Experience with marketing, media, or customer data is a strong advantage.
- Technical Skills
- Expert proficiency in Python and SQL.
- Strong experience with cloud data platforms (e.g., Google BigQuery, Snowflake, Amazon Redshift, Azure Synapse).
- Strong experience with data pipeline orchestration and transformation frameworks (e.g., Airflow, dbt, Dagster).
- Experience with data modelling (e.g., dimensional modelling, analytics engineering patterns).
- Experience integrating APIs and batch or near-real-time data sources.
- Experience with BI tools and analytics workflows.
- Comfortable with version control, CI/CD practices, and infrastructure-as-code concepts.
- Soft Skills
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong system design and problem-solving abilities.
- High attention to detail and commitment to data quality.
- Ability to manage multiple priorities in a client-facing, project-based environment.
- Other Desirable Attributes
- Experience with CDPs, AdTech and MarTech platforms.
- Experience with machine learning or experimentation pipelines.
- Experience with AI tools and automation.
- Background in media, advertising, or consulting.
Qualifications
Why join us?
At Digitas Singapore, you will shape the data foundations that power analytics and marketing intelligence for leading brands in Singapore and the region. You will work on complex, high-impact client problems while helping define our data engineering standards and roadmap. If you’re ready to challenge conventions, push the boundaries of data innovation, and join a team that thrives on speed and execution, we’d love to hear from you.
To apply, please submit your resume and a cover letter detailing your relevant experience and why you are a good fit for this role.
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