Senior Data Engineer

Overview

In this role you will lead the technical direction and architecture of the Data Foundation Platform within OneSuite, delivering scalable data solutions for multi-channel marketing. You will build and optimize cloud-native pipelines, collaborate with cross-functional teams, and ensure production readiness and governance. You will influence design patterns and drive reliable, observable data systems at scale. This is a hands-on leadership role with a clear impact on performance marketing capabilities.

Pay / Benefits

• WORK YOUR WORLD
• REFLECTION DAYS
• HELP@HAND benefits
• FAMILY FRIENDLY POLICIES
• FLEXIBLE WORKING
• GREAT LOCAL DISCOUNTS

Responsibilities

• Design, code, and evolve DFP’s cloud-native data architecture (AWS/GCP/Snowflake) and scalable ingestion pipelines.
• Implement modular data services and APIs to unify datasets across 20+ marketing platforms.
• Develop high-performance ETL/ELT workflows and data models; contribute to the DFP codebase (Python, SQL, Spark).
• Establish versioning, testing, and governance for reliability and compliance.
• Drive data modeling, CI/CD, code reviews, and performance optimization across teams.
• Mentor junior engineers; participate in sprint planning and ensure alignment with platform goals.
• Design RAG and Context Engine pipelines; build low-latency APIs and caching for AI agents.
• Ensure privacy, compliance, and access controls (GDPR, SOC2); promote data documentation and lineage.

Key requirements

• Hands-on Data Engineer experience with production code contributions.
• Expert Python, SQL, and Spark for data pipelines.
• Proven ELT workflow experience with Fivetran, Airflow, DBT, or Databricks.
• Enterprise-scale data modeling, dimensional design, and schema normalization.
• Experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow).
• Experience with marketing/ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads).
• Git/GitHub, CI/CD, and data observability practices.
• Ability to write clean, modular, testable code and review peers’ contributions.

• collaboration
• mentoring
• organization
• Python
• SQL
• Apache Spark

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