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Capgemini

Founded in 1967, Capgemini is revered as one of the world's leading consulting, technology, and outsourcing agencies. In 2016 alone, the company reported global

People Manager (Platform & Data Engineering)

Location

Sweden

Posted

53 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

People Manager (Platform & Data Engineering)

Capgemini

Role Description As a Data Engineer with a focus on Azure, GCP, Fabric, Snowflake or Databricks, you will: - Design and build high-performing data pipelines using tools like Fabric, Databricks and Apache Spark in Azure. - Develop secure, scalable data lakehouses and warehouses, including data models and quality frameworks. - Build and deploy AI/ML models using Databricks ML and Azure ML to turn data into actionable insights. - Monitor and optimize data pipelines and infrastructure for performance, cost-efficiency, and scalability. - Collaborate closely with cross-functional teams to ensure smooth delivery and real business outcomes. - Stay ahead of the curve by exploring new technologies, tools, and best practices within the big data landscape. As a People Manager, you will: - Lead and inspire a team of 5-10 consultants, creating a positive, collaborative, and motivating environment. - Focus on individual development, conducting regular 1:1s to support each team member’s career goals, growth paths, and wellbeing. - Be a key part of the AI & Data Engineering leadership team, influencing strategy and team culture. - Prioritize people and clients - we intentionally minimize administrative tasks so you can focus on what truly matters. Qualifications - Several years of experience in Data Engineering. - Proven expertise in technologies such as Azure, Databricks, Apache Spark, and modern data pipeline development. - Strong knowledge of data warehouse concepts and hands-on experience with Azure services (Azure Data Lake Storage, Databricks, Azure Data Factory). - Proficiency in SQL and scripting languages like Python, plus practical familiarity with AI/ML tools and concepts. Benefits - Flexibility that works for you - remote options and flexible hours to support a healthy work-life balance. - Continuous career growth - we offer diverse, personalized development pathways and programs tailored to your ambitions. - Future-proof skills - gain valuable certifications in leading technologies such as Databricks, Azure, Fabric, or Snowflake. Application Process As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required.

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General Motors logo

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General Electric - GE logo

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