Senior Data Engineer

Job Description

The Role

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.

What you’ll do

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

What You Bring

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

Nice to have

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

Perks :

• Day off on the 3rd Friday of every month (one long weekend each month)
• Monthly Wellness Reimbursement Program to promote health well-being
• Monthly Office Commutation Reimbursement Program
• Paid paternity and maternity leaves

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