Data Engineer, AI-Native Ad Tech Pipelines & Insights

Adorphic Tech; United Kingdom; Remote; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Founders access to me

Direct influence on platform

Growth bonus

Job summary

Adorphic Tech is seeking a data engineer to own batch and streaming pipelines handling billions of bid events, shaping datasets for reporting and partner insights. You will partner with the ML team to deliver features and training data, while prioritizing data quality, lineage, and cost-aware infrastructure.

Three to five years in data engineering with large event data, strong SQL, and experience with Spark or Flink will be essential. Ad-tech/bidstream experience is a plus in this role.

Qualifications

• 3–5 years in data engineering with large event data.
• Strong SQL and a data-processing framework such as Spark or Flink, with Python or Scala.
• Experience with columnar stores and warehouse or lakehouse patterns.
• Genuine care for data quality and reliability.
• Ad-tech or bidstream data experience is advantageous.
• AI-native in how you work, using modern tools as leverage.

Responsibilities

• Build and operate batch and streaming pipelines over large volumes of bid and impression data.
• Model and maintain the datasets behind reporting, partner insights, and the Lode signal.
• Ensure data quality, lineage, and reliability across the platform.
• Partner with machine learning to deliver features and training data.
• Manage the cost and performance of data infrastructure at scale.
• Contribute to the data architecture alongside the founders and the team.

Skills

SQL

Data quality

Ad-tech/bidstream

AI-native mindset

Data reliability

Tools

Spark

Flink

Python

Scala

Job description

Adorphic Tech is seeking a data engineer to own batch and streaming pipelines handling billions of bid events, shaping datasets for reporting and partner insights. You will partner with the ML team to deliver features and training data, while prioritizing data quality, lineage, and cost-aware infrastructure.

Three to five years in data engineering with large event data, strong SQL, and experience with Spark or Flink will be essential. Ad-tech/bidstream experience is a plus in this role.