Senior Data Engineer (AI)

Location: West London, United Kingdom; onsite 2–3 days per week

Company

hirify.global is a strategic AI partner serving Fortune 500 companies and delivering intelligence solutions for enterprise decision-making.

What you will do

• Design, deploy, monitor, and maintain scalable ETL/ELT data pipelines.
• Build and optimize relational, dimensional, and NoSQL data models across warehouses, lakes, and lakehouses.
• Integrate data from Kafka, Pub/Sub, databases, APIs, streaming platforms, SaaS applications, and flat files.
• Manage cloud data infrastructure and on-premise systems for performance, cost-efficiency, and scalability.
• Implement data validation, cleansing, monitoring, automation, CI/CD, and documentation for data assets.
• Collaborate with analysts, data scientists, and business stakeholders; troubleshoot pipeline failures and provide rotational out-of-office on-call support.

Requirements

• 7+ years of professional experience in data engineering or a related role, including experience with GCP services.
• Advanced SQL skills and experience with relational databases and modern data warehouses such as BigQuery, Snowflake, Redshift, or Synapse.
• Hands-on experience with ETL/ELT tools and frameworks such as Apache Spark, Apache Airflow, dbt, Fivetran, or Matillion.
• Proficiency in Python and/or Scala, plus knowledge of data modeling principles and Git-based collaborative development.
• Experience using agentic workflows in day-to-day delivery.
• Strong analytical, problem-solving, communication, and data reliability skills.

Culture & Benefits

• Hybrid work arrangement with onsite attendance two to three days per week.
• Collaborative environment focused on data quality, automation, and solving complex data challenges.
• Rotational out-of-office on-call support is part of the role.