Recruitment process for this position is conducted online.

Capgemini Engineering is a world leader in engineering and R&D services. We combine our broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Every day, we help our clients to accelerate their journey towards Intelligent Industry.

At Capgemini, we are a responsible and diverse. Our organization has a strong 55-year heritage and deep industry expertise. We are trusted by our clients to address the entire breadth of their business needs—from strategy and design to operations. Our actions are fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms.

About the project:

As a Big Data Engineer, you will work on one of the world's largest social media platform which deals with a few petabytes of data coming to the system daily. You will contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.

Investigate, create, and implement the solutions for many technical challenges using cutting edge technologies, including building/enhancing BigData processing platform enabling work of software used by hundreds of millions of users.

Your future tasks:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives
• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area
• Evaluating existing data systems
• Updating and optimizing local and metadata models
• Design, implement and maintain pipelines that produce business critical data reliably and efficiently using cloud technology
• Reports about area readiness/quality, and raise red flags in crisis situations which are beyond his/her AOR

Our Requirements:

• University degree in Computer Related Sciences or similar
• 2+ years of experience as Big Data Engineer
• Python coding skills
• Established big-data systems experience in Hadoop, Spark/SparkSQL, HiveSQL
• Experience with large-scale graph data storage
• Strong OOP skills
• Effective communication (oral & written), collaboration, and interpersonal skills

Nice to have:

• Experience with Airflow, Apache Atlas
• Experience with AWS
• Experience with Kafka
• Experience with JavaScript and Go

What have we prepared for you?

A lot of benefits:

• Flexible working hours
• Equipment package for home office
• Private medical care and life insurance with ability to buy additional packages (e.g., dental care, senior care, oncology) on preferential terms.
• Access to Capgemini Helpline with possibility to chat with therapists.
• Bonuses for recommending your friends to Capgemini.
• Access to Inspiro app with rich audiobooks database
• Access to our NAIS benefit platform (40+ options available: Netflix, SpotifyMultisport, cinema tickets, etc.)

Personal and professional development:

• 70+ training tracks with certification opportunities (e.g. MS Azure, AWS, Google, Cloud) on our NEXT training platform.
• Platform with free access to Pluralsight, TED TalksCoursera materials and trainings.
• Free access to Udemy Business account with ability to use during and outside working hours.
• Transparent performance management policy.

Our legendary atmosphere:

We value teamwork and good relationships. We work together, drink coffee together, and form friendships both inside and outside of work.

• No official dress-code.
• Various communities: OUTfront, Women@Capgemini, Foreigners Community, and more.
• Day off for volunteering
• Ability to implement world-changing initiatives thanks to our Grant Program
• The award of "Top Employer Poland 2024" and "Top Employer Europe 2024" - proof of our commitment to creating an exceptional work environment and caring for the development of our employees.​​​​​​

Who are we?

Being one of us means constant development among other great people. It's a team who you want to spend time with, during and after work. Trainings and initiatives make your daily tasks more interesting, fun, and unique.

Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Automotive, AI and Data, Software & Internet, Telecommunication, Rail, Infrastructure and Transportation, Defense, Aeronautics, Energy, Communications, Semiconductor & Electronics, Industrial & Consumer. Join us on a journey towards Intelligent Industry!

It's time to #Get the Future You Want!

Your life is in your hands, and you have the opportunity to improve it, develop yourself, and simply — join us :)

Do you want to get to know us better? Visit our Capgemini Engineering website!

Do you have any additional questions about working at Capgemini? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Engineering. You can also find us on TikTok! — @capgeminipl.