Data Engineer

Capgemini Engineering is one of the world's leading consulting companies in R&D. We work in most industries globally. In Scandinavia, we focus mainly on Automotive, Industry, Telecom and Life Science. We deliver, together with our global centers of expertise, solutions for both large global customers and smaller local start-up companies. Today we are part of the Capgemini group, which gives us even more opportunities to find the right clients and projects.

Based on the clients' needs, we provide expert competence, entire project groups, services and overall commitments. Always based on what best suits the client’s own organization and challenges.

As a consultant at Capgemini Engineering you have a great opportunity to shape your role as an engineer by yourself. We want everyone who works at Capgemini Engineering to feel that there are clear career paths and opportunities to broaden their skills.

If you are interested to work with international assignments, we could offer this as well. Working globally is an exciting challenge that provides increased insight into our deliveries and our global strength

Your role

We are now looking for skilled Data Engineers with knowledge in AWS Stack – experience in Big Data and AWS Cloud (S3, Redshift, Glue, Lambda, Hadoop/EMR, Hive, Kinesis, Sqoop, Spark ) OR Azure Stack – experience in Azure Cloud: Azure DataFactory, Azure Storages, Azure Delta Lake, Azure Active Directory, Azure Data Lake Storage and Azure Databricks.
Your profile

To be successful in the role we see that you preferably have the following knowledge:

- Experience with the Python programming language
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Experience in data modeling, ETL, development and data warehousing

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Experience with big data technologies and languages like Python, R, SQL, or Scala.

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Cloud experience with the AWS Cloud, MS Azure Databricks, or GCP.

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Hands-on experience on components of Hadoop Ecosystem like HDFS, Hive, Spark, Sqoop, Map Reduce and YARN or any similar Cloud Tool Set or Environment

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Experience in any of NoSQL technologies (Hbase, Cassandra, MongoDB, CosmosDb, AmazonDynamoDB etc.) and streaming technologies (Kafka, Spark Streaming, Storm etc.)

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Excellent communication skills both verbally and in writing in English


It's fantastic, but not necessary if you have any of the following qualifications:

- Experience with Java or Scala
- Experience with PySpark API
- Experience with Linux OS, any distribution
- Experience of Agile and DevOps.
- Experience building predictive models, and create machine learning algorithms in any of cloud environments

We think that you love to solve problems and that you have strong analytical skills. We also believe that you are excited about creating customer value and enjoy working in a dynamic, innovative and multi-cultural team.

We really look forward to your application!

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

Get the Future You Want | www.capgemini.com