Data Engineer (AWS)

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

Join our Insights & Data team a community of over 400 professionals delivering impactful data-driven solutions. We specialize in building scalable cloud-native data architectures and pipelines that power analytics and machine learning across various industries. Our work spans the full Software Development Life Cycle (SDLC) using modern data frameworks agile practices and DevOps principles.

• Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh Data Lake or Streaming Architectures).
• Develop optimize and test modern DWH/Big Data solutions based on the AWS cloud platform within CI/CD environments.
• Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms.
• Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions.
• Ensure data quality consistency and performance across AWS services and environments.
• Participate in code reviews and contribute to technical improvements.

• Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets across various phases of the SDLC.
• Hands-on experience with the AWS cloud including Storage Compute (and Serverless) Networking and DevOps services.
• Solid understanding of AWS services ideally supported by relevant certifications.
• Familiarity with several of the following technologies: Glue Redshift Lambda Athena S3 Snowflake Docker Terraform CloudFormation Kafka Airflow Spark.
• Basic proficiency in at least one of the following programming languages: Python Scala Java or Bash.
• Very good command of English (German language skills would be an advantage).

Nice to Have

• Experience with orchestration tools (e.g. Airflow Prefect).
• Exposure to CI/CD pipelines and DevOps practices.
• Knowledge of streaming technologies (e.g. Kafka Spark Streaming).
• Experience working with Snowflake or Databricks in a production or development environment.
• Relevant certifications in AWS data engineering or big data technologies.

• Practical benefits:yearly financial bonus private medical care with Medicover with additional packages (e.g. dental senior care oncology) available on preferential terms life insurance and access to NAIS benefit platform.
• Access to over 70 training trackswith certification opportunities (e.g. GenAI Excel Business Analysis Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform Pluralsight TED Talks Coursera and Udemy Business materials and trainings.
• Cutting-Edge Technology:Position yourself at the forefront of IT innovation working with the latest technologies and platforms. Capgemini partners with top global enterprises including 145 Fortune 500 companies.
• Enjoy hybrid working modelthat fits your life - after completing onboarding connect work from a modern office with ergonomic work from home thanks to home office package (including laptop monitor and chair). Ask your recruiter about the details.

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 ourInstagram @capgeminiplor visit ourFacebookprofileCapgemini Polska. You can also find us onYouTube.

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 360000 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.

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