Data Engineer - Analytics & ML Ops for Global Impact

Caterpillar Financial Services Corporation; Skinningrove; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading global heavy machinery company is looking for a Data Engineer to work with cutting-edge technologies in a collaborative environment. The role involves designing and maintaining data pipelines using AWS services, Airflow, and Snowflake. Qualified candidates will have extensive experience with ETLs and machine learning operations. The position offers a competitive salary of 3,000+ euros/month and attractive benefits including extra vacation and performance-related incentives.

Benefits

3,000+ euros/month gross

Performance related annual cash incentive

Industry leading Pension plan

5 days of extra vacation

Attractive Life insurance

1 volunteering day

Multisport Card

Qualifications

• Extensive experience with ETLs, AWS SageMaker, Snowflake, Python, and SQL.
• Knowledge of advanced analytics tools and techniques including machine learning operations.
• Experience with ML and CI/CD pipelines.

Responsibilities

• Deploy pre-built data models and business logic into production environments.
• Identify necessary data sources for models, create and maintain ETLs.
• Collaborate with data, business, and data science professionals.

Skills

ETLs (Apache Airflow, or equivalent)

AWS SageMaker

Snowflake

Python

SQL

Machine Learning

CI/CD Pipelines (Azure DevOps, or equivalent)

Education

Formal education in computer science, Software Engineering, or related field

Job description

A leading global heavy machinery company is looking for a Data Engineer to work with cutting-edge technologies in a collaborative environment. The role involves designing and maintaining data pipelines using AWS services, Airflow, and Snowflake. Qualified candidates will have extensive experience with ETLs and machine learning operations. The position offers a competitive salary of 3,000+ euros/month and attractive benefits including extra vacation and performance-related incentives.