Google Data Engineer

Insights & Data is a global business line within Capgemini, dedicated to creating end-to-end Data & AI solutions. Our cross-functional team of experts in the Nordics includes over 800 industry and data specialists. We scale Data & Analytics in the Cloud through strategic partnerships with hyperscalers, niche, and innovation partners, including Google, AWS, Microsoft, Databricks, and Snowflake.
We work across various industries and foster a collaborative environment where your unique perspective matters. Join us in transforming industries by creating cutting-edge data solutions!

YOUR ROLE
As a Google Data Engineer, you’ll be at the forefront of data technology. Your role involves working with the latest tools for data ingestion, ETL, and orchestrating data pipelines. Whether it’s batch processing or real-time streaming data, you’ll be responsible for ensuring data quality and reliability. At Capgemini, we offer a flexible work environment, but for this position, you are required to work on-site at least 50% of the time.

What You’ll Do:
•    Design and Build: Create robust data pipelines using Google Cloud, BigQuery, Cloud Functions, and Dataform.
•    Data Modeling: Develop effective data models that represent business entities and relationships.
•    Collaborate: Work closely with ML and Data Science teams to enhance data transparency and drive strategic decision-making.
•    Client Interaction: Engage with clients to understand their needs and develop optimal technical solutions, helping them become more data-driven.
•    Wide Range of Projects: Gain exposure to various domains and technologies as Capgemini operates across diverse industries.
•    Knowledge Sharing: Actively participate in knowledge sharing and skills development within specific areas of expertise (capability areas), where lessons learned and experiences are shared.
•    Architecture Opportunities: If you’re interested in architecture, we offer training and a supportive environment for your career development.

YOUR PROFILE
•    Professional experience in Data Engineering and building pipelines.
•    Experience with Google Cloud, including BigQuery, Cloud Functions, and Dataform.
•    Strong knowledge of Python and SQL.

Additional experience that is advantageous but not required:
•    Golang
•    Spark
•    Kafka
•    AirFlow
•    Terraform

WHAT WE BELIEVE YOU WILL ENJOY ABOUT WORKING HERE 
We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
Equip yourself with valuable certifications in the latest technologies such as MS Fabrics, Databricks or Snowflake.

APPLICATION 
Ready to Shape the Future of Data Engineering? Apply Now!

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