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Kargo

Senior Data Engineer

London
Posted 15 days ago
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Kargo

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

Get help with your application

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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)
Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
Spark
Airflow
Apache Iceberg
AWS
EKS
Docker
Kubernetes
ArgoCD
CI/CD
Prometheus
Snowflake
ClickHouse
SQL
Data Engineering
Ad Tech

Location

London, England, United Kingdom

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