AI & Data Engineer: Build Scalable Data Pipelines

ApplyMint; Denmark; On-site; DKK 750,000 - 1,100,000; Full time

Job summary

Capgemini seeks an AI/Data Engineer to design, build, and operate advanced data platforms enabling analytics and AI use cases. You will work closely with clients and cross-functional teams to deliver scalable, compliant data solutions in enterprise environments.

You will collaborate with data product owners and AI/ML specialists for feature engineering, model training, and operationalization, while ensuring data quality, lineage, and observability throughout the data lifecycle.

Qualifications

• Solid experience with AI/Data engineering in enterprise environments.
• Hands-on in batch and near real-time data pipelines and platforms.
• Proficiency with Python and SQL and modern data engineering practices.

Responsibilities

• Design, build, and operate scalable data pipelines and data products for analytics and AI use cases.
• Collaborate with data product owners and platform teams to support feature engineering and model deployment.
• Implement data transformations with Python/SQL, ensuring observability and resilience.
• Contribute to data governance, lineage, and compliance standards across pipelines.

Skills

Python

SQL

Databricks

Snowflake

Cloud platforms

Batch & real-time pipelines

Data modeling

Data governance/lineage

Observability/metadata

Collaborative communication

Tools

Databricks

Snowflake

Job description

Capgemini seeks an AI/Data Engineer to design, build, and operate advanced data platforms enabling analytics and AI use cases. You will work closely with clients and cross-functional teams to deliver scalable, compliant data solutions in enterprise environments.

You will collaborate with data product owners and AI/ML specialists for feature engineering, model training, and operationalization, while ensuring data quality, lineage, and observability throughout the data lifecycle.