Data Engineer

TL;DR

Senior Data Engineer: Enhancing data infrastructure and evolving data integration pipelines, data modelling, and ML Ops for a five-star service platform with an accent on architectural best practices, low-level optimizations, and data quality. Focus on implementing robust data solutions, supporting business units, and enforcing code quality.

Location: Office-based role located in West London, with flexible working hours and work from home when needed.

Company

hirify.global is building a platform focused on user privacy to scale a five-star ride-hailing service across multiple cities.

What you will do

• Enhance the Data team with architectural best practices and low-level optimizations.
• Evolve data integration pipelines (Debezium, Kafka, dlt), data modelling (dbt), database engines (Snowflake), and ML Ops (Airflow, MLflow).
• Cover business units with feature requests, bug fixes, and data quality issues.
• Enforce code quality, automated testing, and code style.

Requirements

• 3+ years of experience in Data Infrastructure Engineer, Data Engineer, or MLOps Engineer roles.
• Experience with analytical databases (Snowflake, Redshift, BigQuery), deployment, configuration, and monitoring of data pipelines (Kafka, Airflow).
• Fluent with SQL and Python, and experienced in data modeling, applying performance tuning techniques.
• Experience containerizing applications and code using Docker and Kubernetes.
• Have experience in researching and integrating open-source technologies (data ingestion, data modelling, BI reporting, LLM applications).
• English: At least Intermediate level (B1).

Culture & Benefits

• Flexible working hours and work from home when needed (office-based in West London).
• Competitive salary & equity package.
• Medical insurance, including dental, life, and critical illness insurance.
• Monthly credit for hirify.global journeys and lunch allowance.
• Professional development subsidies and top-notch equipment.
• Relocation allowance (dependent on role level).