Hybrid Data Engineer — Python, SQL & Cloud AI

Corecom Consulting; Amsterdam; Hybrid; EUR 45,000 - 54,000; Full time

Benefits offered by this job

Salary €4,000–€4,860 gross/mo

Holiday allowance & 24 days

Pension plan

Fitness programme

Laptop & phone

Weekly team lunch

Hybrid work at Amsterdam EDGE

Job summary

Corecom Consulting is seeking a Junior–Mid-level Software/Data Engineer to join our international technology team in Amsterdam. You will build and improve Python-based services, work with SQL and large datasets, and help develop data pipelines in a cloud environment.

You will collaborate across software, data, and AI initiatives, with opportunities to grow your skills and take ownership of solving real-world data problems in a hybrid work setting.

Qualifications

• Solid foundation in Python and SQL and cloud technologies.
• Experience with data pipelines and large datasets.
• Familiarity with Azure or other cloud platforms.

Responsibilities

• Develop and improve Python-based services and applications.
• Work with SQL, databases and large datasets.
• Build, maintain and optimise data pipelines and processing solutions.
• Work with Azure and cloud-based technologies.
• Contribute to AI and automation initiatives.
• Improve performance, reliability and scalability of existing solutions.
• Collaborate with engineers and domain experts to turn data into products.
• Take ownership of technical problems and research solutions independently.

Skills

Python

SQL

Data engineering

Problem solving

English communication

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Job description

Corecom Consulting is seeking a Junior–Mid-level Software/Data Engineer to join our international technology team in Amsterdam. You will build and improve Python-based services, work with SQL and large datasets, and help develop data pipelines in a cloud environment.

You will collaborate across software, data, and AI initiatives, with opportunities to grow your skills and take ownership of solving real-world data problems in a hybrid work setting.