Senior Data Engineer (Python)

TL;DR

Senior Data Engineer (Python/SQL): Building and scaling a data platform and ingestion pipelines for a mobile-first employee experience platform with an accent on infrastructure reliability and scalable analytics. Focus on productionizing data processes, implementing CI/CD for data workflows, and developing the hirify.global IQ 2.0 analytics product.

Location: Hybrid in London, UK (3 days per week in office)

Company

hirify.global is a mobile-first employee experience platform that reconnects distributed organisations and enables seamless communication for employees.

What you will do

• Own and improve data ingestion pipelines and design orchestration for data workflows.
• Productionize data processes to ensure they run reliably at scale.
• Establish CI/CD practices, monitoring, alerting, and data quality checks across the platform.
• Contribute to the development of hirify.global IQ 2.0, the customer-facing analytics product.
• Collaborate with DevOps on shared infrastructure and deployment practices.
• Support stakeholders with ad-hoc data needs and provide reliable insights.

Requirements

• Strong SQL skills, including performance optimisation and complex queries.
• Experience building and maintaining data pipelines at scale.
• Proficiency in Python for building production data workflows.
• Experience with a modern data stack (e.g., Snowflake, dbt, Fivetran, Debezium).
• Experience with orchestration tools such as Airflow, Dagster, or Prefect.
• Must be based in London, UK and able to work in the office 3 days per week.

Nice to have

• Startup or scale-up experience.

Culture & Benefits

• Competitive salary and stock options with annual high-performer grants.
• 25 days’ leave, public holidays, and additional time off between Christmas and New Year.
• Private healthcare with AXA.
• Employer pension contribution (3% upon 5% employee contribution).
• Cycle to Work scheme and regular social events (lunches, breakfasts, nights out).
• Enhanced parental leave.