[Hiring] Senior Data Engineer @Forbes Advisor

Role Description

We are hiring a Senior Data Engineer to help design and scale the infrastructure behind our analytics, performance marketing, and experimentation platforms. This role is ideal for someone who thrives on solving complex data problems, enjoys owning systems end-to-end, and wants to work closely with stakeholders across product, marketing, and analytics. You’ll build reliable, scalable pipelines and models that support decision-making and automation at every level of the business.

• Build, maintain, and optimize data pipelines using Spark, Kafka, Airflow, and Python
• Orchestrate workflows across GCP (GCS, BigQuery, Composer) and AWS-based systems
• Model data using dbt, with an emphasis on quality, reuse, and documentation
• Ingest, clean, and normalize data from third-party sources such as Google Ads, Meta, Taboola, Outbrain, and Google Analytics
• Write high-performance SQL and support analytics and reporting teams in self-serve data access
• Monitor and improve data quality, lineage, and governance across critical workflows
• Collaborate with engineers, analysts, and business partners across the US, UK, and India

Qualifications

• 4+ years of data engineering experience, ideally in a global, distributed team
• Strong Python development skills and experience
• Expert in SQL for data transformation, analysis, and debugging
• Deep knowledge of Airflow and orchestration best practices
• Proficient in DBT (data modeling, testing, release workflows)
• Experience with GCP (BigQuery, GCS, Composer); AWS familiarity is a plus
• Strong grasp of data governance, observability, and privacy standards
• Excellent written and verbal communication skills

Requirements

• Experience working with digital marketing and performance data, including: Google Ads, Meta (Facebook), TikTok, Taboola, Outbrain, Google Analytics (GA4)
• Familiarity with BI tools like Tableau or Looker
• Exposure to attribution models, media mix modeling, or A/B testing infrastructure
• Collaboration experience with data scientists or machine learning workflows