Ingenjör

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role
As a Databricks Data Engineer with an Azure focus, you will be building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.

• Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.
• Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data.
• Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
• Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.
• Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.

Your Profile

• Minimum 3 years of experience as a Data Engineer or similar role.
• Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.
• Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory.
• Knowledge of SQL and scripting languages like Python and hands-on experience with AI/ML concepts and tools.
• Excellent problem-solving and analytical skills and strong communication and teamwork skills.
• Passion for data and a thirst for learning.

What We Believe You Will Enjoy About Working Here
At Capgemini, you'll experience a flexible, hybrid work environment that supports work-life balance. Our "learning for life" approach offers access to 250,000 courses and certifications from partners like Databricks, Microsoft, AWS, Google, Snowflake and many more. As part of a diverse team of industry experts, you'll collaborate to transform businesses and innovate for a more sustainable, inclusive future. Here, you'll be empowered to shape your career while making a meaningful impact.

Why You Should Consider Capgemini
Growing clients' businesses while building a more sustainable, more inclusive future is a tough ask. But when you join Capgemini, you join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. A powerful source of energy that drives us all to find new ways technology can help us reimagine what's possible. It's why, together, we seek out opportunities that will transform the world's leading businesses. And it's how you'll gain the experiences and connections you need to shape your future.

By learning from each other every day, sharing knowledge and always pushing yourself to do better, you'll build the skills you want. And you'll use them to help our clients leverage technology to grow their business and give innovation that human touch the world needs. So, it might not always be easy, but making the world a better place rarely is.

#LI-EÖ1

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Lönen för liknande positioner som Ingenjör ligger vanligtvis mellan 36 300–49 000 kr/månad. Lönespannet är baserat på SCB:s statistikdatabas från 2023.