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At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-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.
Apply now!
Ref. code: 99014 Posted on: 31 Oct 2024 Experience Level: Experienced Professionals Contract Type: Fixed Term Contract Location:
Katowice, PL Lublin, PL Opole, PL Wrocław, PL Gdańsk, PL Kraków, PL Poznań, PL Warszawa, PL
Brand: Capgemini Engineering Professional Community: Software Engineering
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.
Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-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.
Apply now!
Ref. code: 99014 Posted on: 31 Oct 2024 Experience Level: Experienced Professionals Contract Type: Fixed Term Contract Location:
Katowice, PL Lublin, PL Opole, PL Wrocław, PL Gdańsk, PL Kraków, PL Poznań, PL Warszawa, PL
Brand: Capgemini Engineering Professional Community: Software Engineering
,[We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler, who enjoys optimizing data systems and building them from the ground up., The Data Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited about the prospect of optimizing or even re-designing our companys data architecture to support our net generation of products and data initiatives., Create and maintain optimal data pipeline architecture , Assemble large, complete data sets that meet functional / non-functional business requirements. Identified, designed, and implemented internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, performance, etc. , Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies. , Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, revenue management, operational efficiencies, and other key business performance metrics. , Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. , Keep our data separated and secure across national boundaries through multiple data centers and regions. , Create data tools for analytics and data scientist team members that assist them in building and optimizing our offerings. , Work with data and analytics experts to strive for greater functionality in our data systems. Requirements: R, SQL, Big Data, Apache Spark, Kafka, Storm, Scripting language, Scala, Relational database, Data warehouses, PostgreSQL, Microsoft SQL Server, Oracle, GCP, BigQuery, Hadoop, Spark, Hive, HBase, NoSQL, Data pipelines, Excel, Project management, Cloud Additionally: Sport Subscription, Private healthcare, Home office, Certificates, Pluralsight, Life insurance, Udemy for business, Modern office.