Senior Data Engineer (AdTech)

Location: Hybrid working in London or Edinburgh, United Kingdom

Company

hirify.global is an advertising technology company providing an omnichannel demand-side platform that combines telco data, movement patterns, and transaction data for audience analytics and targeting.

What you will do

• Design, build, monitor, and support large-scale data-processing pipelines.
• Build secure, automated, scalable production pipelines on GCP for high-volume data and real-time decisioning.
• Optimize cloud compute, data governance, quality, controls, recovery points, and operational efficiency.
• Explore new data streams and support commercial and technical growth.
• Mentor and pair with engineers to improve team capability and delivery capacity.
• Work closely with Product on fast feature delivery and robust engineering follow-up.

Requirements

• 5+ years of experience delivering robust, performant data pipelines under SLA and commercial constraints.
• Experience architecting, developing, and maintaining Apache Druid and Imply platforms, including DevOps practices and large-scale re-architecture.
• Advanced experience building GCP pipelines with native cloud technologies such as Apache Airflow.
• Strong Python skills for data and computational tasks, including data cleansing, validation, and composition.
• Experience with streaming data, relational and non-relational databases, distributed processing technologies such as Spark, and data-science libraries including pandas, scikit-learn, scipy, numpy, and MLlib.
• Advanced GCP knowledge, strong server-side Linux skills, and professional practices in documentation, testing, assurance, and task management.

Nice to have

• Experience optimizing Spark, Hive, or similar tools.
• Advanced relational database operations, including partitioning and indexing.
• Experience with AWS Athena or Google BigQuery.
• Knowledge of complex algorithms and statistical techniques for large data structures.
• Experience with Python notebooks such as Jupyter, Zeppelin, or Google Datalab.

Culture & Benefits

• Lean Development practices and an environment with significant freedom and ambitious goals.
• Work on high-scale systems processing over 350 GB of data per hour and handling 400,000 decision requests per second.
• Opportunity to work with petabytes of analytical data and complex data-science disciplines.
• Collaboration across Engineering and Product in a growing team with significant technical responsibility.