Data Engineer (AI)

Location: London, United Kingdom; hybrid working

Company

hirify.global is a data-driven organisation building data platforms that support analytics, reporting, data science, and modelling.

What you will do

• Develop and improve ingestion and transformation pipelines using Spark, Scala, Python, AWS, DBT, and Snowflake.
• Own and improve the Data Lake environment and data platform for robustness, scalability, and future readiness.
• Manage ETL processing, table refreshes, defect resolution, and other business-as-usual activities.
• Optimise performance through concurrency, multithreading, automation, and engineering best practices.
• Deliver cloud-native data solutions through Agile frameworks and CI/CD.
• Design modular, reusable, scalable, and configurable solutions that minimise manual intervention and integrate multiple data sources.

Requirements

• Hands-on DBT experience and Apache Airflow experience building scalable transformations and DAGs.
• Experience managing task dependencies, automated retries, and error handling for reliable pipeline execution.
• Engineering experience with Python and SQL, solving complex data problems at scale.
• Ability to design and guide modern data engineering solutions, including data modelling, ETL/ELT, data warehousing, and scalable data pipelines.
• Ability to lead and develop Data Engineers through hands-on technical contribution, coaching, technical direction, and delivery ownership.
• Interest in AI and automation, with curiosity about applying emerging technologies to improve engineering quality and productivity.
• Strong data engineering foundations and hands-on DBT experience are encouraged even when not every listed technology is covered.

Culture & Benefits

• Permanent, full-time employment in a hybrid role.
• Agile delivery environment focused on high-quality, cloud-native data solutions.
• Inclusive equal-opportunity workplace supporting diversity and reasonable adjustments for disabilities or caring responsibilities.