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Data Engineer

A global marketing and advertising company with over 120 years of history, focusing on innovation and integrated growth solutions.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Job Description

Dentsu, a global marketing and advertising powerhouse with over 120 years of innovation history, is seeking a Data Engineer to join their team. This role presents an exciting opportunity to work with cutting-edge data technologies and contribute to the company's data infrastructure.

The position requires expertise in modern data engineering tools and platforms, including Snowflake, Google Cloud Platform, and various ETL/ELT tools. You'll be working with advanced data processing technologies and will be responsible for building and maintaining robust data pipelines.

As a Data Engineer at Dentsu, you'll be part of a company that values innovation and has a strong focus on sustainability and social impact. The role offers exposure to complex data challenges and the opportunity to work with enterprise-scale data systems. You'll be handling data governance, security, and compliance requirements while building scalable solutions.

The company offers a collaborative environment where you can work alongside talented professionals in the marketing and advertising technology space. Dentsu emphasizes being a force for good and encourages their employees to "dream loud" and embrace transformation and change.

This role is perfect for someone who has strong technical skills in data engineering and wants to work for a global company that's leading the way in marketing innovation. You'll have the opportunity to work on projects that have real impact while being part of a team that values connection and collaboration.

The position requires a mix of technical expertise and business understanding, as you'll be working with various stakeholders to ensure data solutions meet business needs. With Dentsu's global presence and focus on integrated growth solutions, this role offers excellent opportunities for professional growth and development in the data engineering field.

Last updated 23 days ago

Responsibilities For Data Engineer

  • Build and maintain data pipelines using modern ETL/ELT patterns
  • Work with cloud platforms like GCP and Snowflake
  • Develop complex SQL queries and stored procedures
  • Implement data security and compliance requirements
  • Create and maintain data warehouse models
  • Build and consume REST APIs for data ingestion
  • Ensure data quality and governance standards

Requirements For Data Engineer

Python
  • Bachelor's degree in Engineering or related technical field
  • 3-6 years of hands-on experience as a Data Engineer, Data Architect or related roles
  • Experience working on Snowflake or Google Cloud Platform (GCP)
  • Proficiency in Talend for complex ETL workflows, Fivetran for automated data pipeline
  • Advanced SQL skills including complex queries, stored procedures
  • Python experience with data manipulation libraries and PySpark
  • Understanding of REST API and API authentication methods
  • Experience with Databricks or similar Notebooks
  • Understanding of data governance, quality, and lineage concepts
  • Knowledge of data security and compliance requirements (GDPR, CCPA)