Data Engineer (Spark/Scala/AWS)

TL;DR

Data Engineer (Spark/Scala/AWS): Developing and improving ingestion and transformation pipelines for analytics, reporting, and data science with an accent on scalability, performance optimization, and data lake management. Focus on owning ETL processes, integrating multiple data sources, and delivering cloud-native solutions via CI/CD.

Location: London (Hybrid)

Company

hirify.global is a data-driven organisation building core pipelines and platforms to power analytics, reporting, and data science across the business.

What you will do

• Develop and improve ingestion and transformation pipelines using Spark, Scala, Python, AWS, DBT, and Snowflake
• Own and enhance the Data Lake environment for robustness and scalability
• Manage ETL processing, table refreshes, defect resolution, and BAU activities
• Optimise performance with concurrency, multi-threading, automation, and best practices
• Work in Agile frameworks to ship high-quality data solutions via CI/CD
• Integrate data from multiple sources and solve complex data challenges

Requirements

• Strong problem-solving skills and passion for clean, reliable, high-performance data solutions
• Hands-on experience with modern data technologies and cloud platforms
• Focus on continuous improvement, automation, and operational excellence
• Ability to collaborate across teams and contribute to enterprise-wide data platform evolution

Culture & Benefits

• Hybrid work model in London
• Equal opportunity employer valuing diversity and inclusion
• Support for accommodations and reasonable adjustments for disabilities or caring responsibilities
• Inclusive job design and hiring practices using Textio