Senior Data Engineer (Snowflake) – Hybrid & AI/ML Focus

Capgemini AB; Stockholms kommun; Hybrid; SEK 652,670 - 924,616; Full time

Benefits offered by this job

Flexible hours

Hybrid work setup

Career development programs

Access to certifications

Mentorship and support networks

Job summary

Capgemini AB in Stockholm is looking for a Senior Data Engineer with a focus on Snowflake to build scalable data platforms. You will collaborate with teams to develop data warehouses and pipelines, leveraging tools such as Python, Apache Spark, and Azure. Enjoy hybrid work options, career development, and a commitment to inclusivity.

Join a diverse team dedicated to delivering AI-driven business solutions across industries and benefit from ongoing learning opportunities with industry partners.

Qualifications

• Experience with Snowflake and data warehousing concepts.
• Willingness to learn Microsoft Azure tools.
• Strong problem-solving skills and teamwork abilities.
• Passion for data with a growth mindset.

Responsibilities

• Develop and maintain secure data warehouses.
• Implement data models and governance practices.
• Build AI/ML models and integrate into data pipelines.
• Design high-performance data pipelines.

Skills

Snowflake

Apache Spark

Data pipeline development

SQL

Python

AI/ML concepts

Tools

Microsoft Azure

DBT

Snowflake Snowpark

Cortex

Neo4j

Job description

Capgemini AB in Stockholm is looking for a Senior Data Engineer with a focus on Snowflake to build scalable data platforms. You will collaborate with teams to develop data warehouses and pipelines, leveraging tools such as Python, Apache Spark, and Azure. Enjoy hybrid work options, career development, and a commitment to inclusivity.

Join a diverse team dedicated to delivering AI-driven business solutions across industries and benefit from ongoing learning opportunities with industry partners.