Digitas | Data Engineer, Mid-level (Talent pipeline)

Company Description

About Digitas:

Digitas is The Connected Marketing Agency, built on the principle that there are better ways for brands to connect with people. We leverage comprehensive data, technology, experience, media and strategy capabilities to deliver CRM & Loyalty, Commerce and Media solutions. A Leader in Gartner’s Magic Quadrant for Global Marketing Agencies for six consecutive years, Digitas serves the world’s leading brands through a global network comprised of more than 4,000 employees across over 30 countries and 50 offices. For more information visit www.digitas.com. Digitas is part of Publicis Groupe.

Job Description

Become Data Engineer at Digitas, where brilliant minds come together to bring to life bold, data and technology-driven marketing solutions for the world’s leading brands.

We are looking for a talented and passionate individual, someone who can process large Consumer data sets to enable analytical usage for the Business. As Data Engineer you’ll build the strategic and tactical foundation for data-driven marketing efforts for our Clients including CRM & Loyalty, Commerce and Media.

Sound like you? Read on.
We are expecting a successful candidate to start from January 2023.

What you’ll do:

• Develop and implement data architecture, management framework and solution
• Design database schema to manage and optimize data processing and storage
• Manage operations of scheduled data ingestion and processing (ETL)
• Optimize data connectivity and retrieval, develop multichannel and multi purpose dashboards with key metrics, reports and other visualizations using BI solutions
• Continuous improvement on enhancement of data quality and integrity
• Design and apply privacy and regulatory requirements on PII data and manage access
• Collaborate and communicate with multiple internal and external stakeholders

Qualifications

Great candidates often have:

• 3+ years overall experience in data engineering, at least 1 year of experience with SQL, Data Design, Data Architecture and managing a PII Consumer database
• Hands on experience with managing large data sets and ETL experience
• Experience with designing and rollout of data schema
• Relevant experiences with Google Big Query, Google Analytics, Google Tag Manager, Google Data Studio, Salesforce Marketing Cloud, Microsoft Power BI, Python, R, Java…
• Comfortable in a fast-paced, multi-stakeholder and deadline-driven environment
• Passion for data and technology in the business and marketing contex
• Good communication skills in Vietnamese and English with internal and external stakeholders at a variety of levels

Got what it takes? Apply now!