dentsu
advertising
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at dentsu. Skills: Data Engineering, Cloud Data Warehousing, Python, SQL. Design data pipelines. build data pipelines”
What You'll Achieve.
Drive Business Performance; create personalized experiences; create connected experiences; deliver transformative business outcomes; meet quantifiable business goals; optimization; creation; analysis across all digital platforms; maximizing visibility in eCommerce platforms; analytics-ready models; data quality; engineering standards
Industry & Context.
troubleshoot data discrepancies
What They're Looking For.
Must Have
3–5 years of professional data engineering experience, production deployments on a major cloud data warehouse, SQL skills, solid Python, pipeline development, transformation logic, working with advertising platform data, pulling from platform APIs or connectors, reconciling it against platform reporting, Understanding of advertising data concepts, Experience with a workflow orchestrator, version control (Git), Comfort working directly with non-technical stakeholders
Nice to Have
Experience with dbt, transformation and modelling, Looker Studio, PowerBI, marketing measurement work, MMM, MTA, incrementality testing, clean-room environments, broader cloud platform services, GCP (Cloud Functions, Pub/Sub, Dataflow), AWS (Lambda, S3, Glue), Azure equivalents, Databricks, lakehouse platforms, large-scale data processing, Prior experience at a media agency, ad-tech vendor, in-house marketing data team
What You'll Do.
Design data pipelines
maintain data pipelines
Model performance data
Monitor pipeline health
enable taxonomy compliance
troubleshoot data discrepancies
fix data discrepancies
Partner with analysts
Partner with strategists
translate needs into models
Contribute to data quality
Contribute to documentation
Contribute to engineering standards
How You'll Work.
Team & Collaboration
Partner with analysts; Partner with strategists; Partner with ad-ops; Comfort working directly with non-technical stakeholders
Full Job Description
**Job Description:** Our mission is to Drive Business Performance. We use data to create personalized and connected experiences that deliver transformative business outcomes. Our role is to ensure our clients meet their quantifiable business goals every day, consistently, in every market. We are entirely focused on delivering better business results through optimization, creation and analysis across all digital platforms. Our scope ranges from recommending how to use content more effectively to optimizing daily media channel performance and maximizing visibility in eCommerce platforms. We're looking for a Data Engineer with 3–5 years of hands-on experience to join our team. You'll own the ingestion, modelling, and delivery of data from the advertising platforms our clients run on — building reliable pipelines in a cloud data warehouse (BigQuery, Redshift, or Snowflake) that power reporting, analytics, and activation. **Accountabilities:** * Design, build, and maintain production data pipelines in a cloud data warehouse — BigQuery, Redshift, or Snowflake — from ingestion through to analytics-ready models. * Develop and manage API and connector-based integrations with major advertising platforms: Google Ads, GA4, Meta, TikTok, DV360, Campaign Manager 360, LinkedIn Ads, and similar. * Model campaign, spend, and performance data into clean, well-documented datasets that media, analytics, and client-services teams can trust. * Monitor pipeline health inclusive of enabling taxonomy compliance, troubleshoot data discrepancies against platform UIs, and own the fix end-to-end. * Partner with analysts, strategists, and ad-ops to translate reporting and measurement needs into scalable data models. * Contribute to data quality, documentation, and engineering standards across the team. **Qualifications:** * 3–5 years of professional data engineering experience, including production deployments on a major cloud data warehouse such as BigQuery, Redshift, or Snowflake. * Strong SQL
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