Senior Data Engineer

Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our dynamic teams work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a Creative Science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Kargo is growing rapidly and currently has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.

Who We Hire

Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.

The Opportunity

Kargo is hiring a Senior Data Engineer to build and scale the data infrastructure that powers our targeting, identity, and measurement capabilities. This role owns hands-on implementation of the pipelines, systems, and tooling that turn raw data into competitive advantage—at speed and at scale. When this role is firing, data flows reliably, engineering teams move faster, and Kargo's data products are built on a foundation that can handle whatever comes next. This is a remote role based in London, UK.

The Daily To-Do

Build, optimize, and operate core ETL/ELT pipelines—assessing bottlenecks, documenting SLAs, and catching incidents proactively rather than reactively

Integrate new data sources end-to-end, activating targeting and measurement use cases that perform against defined KPIs

Stand up and maintain ArgoCD-based CI/CD deployment pipelines that accelerate team velocity and reduce rollback events

Implement privacy-compliant identity and targeting methodologies that meet GDPR/CCPA standards—built into the stack, not bolted on after the fact

Own infrastructure deployment and scaling decisions across AWS, EKS, Docker, and Kubernetes, taking operational responsibility for the systems you build

Write technical documentation, runbooks, and best practices clear enough that a new engineer can onboard to a system without a walkthrough

Contribute actively in design and brainstorming sessions—bringing strong opinions, updating them when better ideas emerge, and communicating decisions clearly to technical and non-technical stakeholders alike

Qualifications

Deep proficiency in Python and Spark for building and optimizing large-scale data pipelines, with a strong grasp of data structuring for performance and efficiency

Hands-on experience with Airflow for orchestrating complex data workflows, and Apache Iceberg for table format management at scale

Extensive AWS experience including EKS, Docker, and Kubernetes; comfortable owning infrastructure deployment and scaling decisions

CI/CD fluency—ArgoCD, automated testing pipelines, and monitoring via Prometheus—treating deployment reliability as a first-class concern

Familiarity with analytical warehousing in Snowflake or ClickHouse, including SQL optimization, cost management, and performance tuning

Working knowledge of identity, privacy, and targeting methodologies in ad tech—understanding how data flows through the ecosystem and where privacy constraints apply

Preferred: experience with real-time streaming technologies (Kafka, Flink) and familiarity with Aerospike or similar low-latency key-value stores used in high-throughput targeting systems

What We're Proud Of

AdAge Best Places to Work

ThinkLA Partner of the Year

Built In Best Places to Work

Cynopsis 2025 Top Women in Media - Jeannine Shao Collins

Martech Breakthrough Awards - Best Overall Adtech Company

Digiday Media Awards Best Event

Cynopsis Media Impact Awards-Best CTV Platform

Martech Breakthrough Awards-CTV Innovation

Adweek Media Plan of the Year Awards - Best Use of Insights

Following Our Lead

Big Picture: kargo.com

The Latest: Instagram (@kargo.hq) and LinkedIn (Kargo)