Data Engineer – Data & Analysis

  • Full-time

Company Description

About Digitas

Digitas is The Connected Marketing Agency, committed to helping brands better connect with people through Truth. Connection. Wonder. With diverse expertise in data, strategy, creative, media, and tech, we work across capabilities and continents to make better connections and achieve ambitious outcomes through ideas that excite, provoke and inspire. Curious and fully transparent, we are always examining real human behavior to create authentic connections—between brands and consumers, clients and partners, and ideas and outcomes. Digitas has 3,300 employees across 12 countries and 24 offices, with an extended network via Publicis Media of over 23,500 employees present in more than 100 countries worldwide. To connect with Digitas or learn more, visit www.digitas.com

 

Job Description

Day-to-day, your role includes:  
 

  • Assessing, formulating and implement data management framework/solution based on client’s request 

  • Design database schema to optimized data processing and storage 

  • Managing existing data pipelines and identify ways to enhance data quality and integrity  

  • Design and apply privacy and regulatory requirements on PII related data and manage access 

  • Manage performance and access of database 

  • Build data models to ensure data validation and clean-up for new data set onboarding 

  • Manage and enhance Microsoft Azure platform for efficiency in data processing 

  • Communicating with clients regularly on scheduled deliverables and ad-hoc requests 

  • Manage operations of scheduled data ingestion and processing 

Qualifications

We’re looking for strong, impactful work experience, which typically includes: 
 

  • Bachelor's Degree with 5-7 years overall experience in data engineering 

  • At least 3 years of experience with SQL, Data Design, Data Architecture and managing a database 

  • Hands on experience with managing large data sets and ETL experience 

  • Experience with designing and rollout of data schema 

  • Experience working with Microsoft Azure and SQL Workbench 

  • Good communication skills and able to with internal and external stakeholders at a variety of levels  

  • Experience with Google Big Query, Google Analytics,  Google Tag Manager, Python, SFMC and Javascript is a plus 

  • Experience working with PII and marketing related data is a plus 

  • Comfortable in a fast-paced and deadline-driven environment 

  • Passion for data and technology 

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