Data Engineer

At Capgemini, you'll have the opportunity to shape your career in a way that suits you, supported by a community of experts who inspire and empower you. We believe in reimagining what's possible - using technology to build a more sustainable, inclusive world. Our Insights & Data team is at the forefront of this mission, delivering end-to-end Data & AI solutions across industries. With 550 specialists in the Nordics, we leverage strategic partnerships with Google, AWS, Microsoft, Databricks, and Snowflake to scale Data & Analytics in the Cloud. Here, your expertise and perspective matter - join us in driving innovation and transforming industries with cutting-edge data solutions

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

In this role you will play a key part in:

• Designing and building 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.
• Building and deploying AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights.
• Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations.

Your profile

• Professional experience of working with Data Engineering
• Fluent Swedish skills - you have the ability to communicate in a professional context
• 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.

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.
• We partner with names such as Google, Microsoft, Amazon and Databricks, which can equip you with valuable certifications in the latest technologies in line with your ambitions.

Your Application
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.
Welcome to apply

About Capgemini
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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

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