Senior Data Engineer – ML Ops for Global Impact

International Rescue Committee; Greater London; Hybrid; GBP 54,000 - 66,000; Full time

Job summary

A leading humanitarian organization in the UK is seeking a skilled Data Engineer to join their analytics team. This role focuses on building and optimizing data pipelines, developing data models, and collaborating with data scientists to automate ML workflows. The ideal candidate has over 4 years of experience in data analysis and a strong background in Python and SQL. This position offers a competitive salary package and the possibility to work in a supportive and diverse environment.

Benefits

Flexible working hours

Enhanced maternity/adoption leave

Professional development opportunities

Qualifications

• 4+ years of experience in data and analytics.
• 2+ years of experience with large scale data manipulation using Python and SQL.
• Knowledgeable about modern data stack and data ops best practices.

Responsibilities

• Support workflow of the ER data model and maintenance of data models.
• Collaborate to develop production-quality data models in SQL.
• Build and automate end-to-end ML pipelines.

Skills

Data pipeline management

SQL proficiency

Python programming

Machine learning operations

Attention to detail

Education

Degree in a relevant field

Tools

Airflow

dbt

ML Flow

Snowflake

Azure

Power BI

Job description

A leading humanitarian organization in the UK is seeking a skilled Data Engineer to join their analytics team. This role focuses on building and optimizing data pipelines, developing data models, and collaborating with data scientists to automate ML workflows. The ideal candidate has over 4 years of experience in data analysis and a strong background in Python and SQL. This position offers a competitive salary package and the possibility to work in a supportive and diverse environment.