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Databricks Data Engineer (FinTech)



Data Science
Posted on Thursday, June 27, 2024

We work in a hybrid model! Recruitment process for this position and onboarding trainings are conducted online.

At Capgemini, we're proud to be a global leader in working with companies to transform and manage their business by harnessing the power of technology. We are guided everyday by the purpose of unleashing human energy through technology for an inclusive and sustainable future.

We are a responsible and diverse organization, with 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.

Your future tasks:

  • Designing and implementing solutions for processing large and unstructured datasets, including Data Lake Architecture and Streaming Architecture.
  • Implementing, optimizing, and testing modern DWH/Big Data solutions using Databricks Platform within a Continuous Delivery/Continuous Integration environment.
  • Improving data processing efficiency and managing migrations from on-premises to public cloud platforms.
  • Development of Data, AI, and ML applications, as well as Generative AI solutions

Our Requirements:

  • At least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and/or unstructured datasets (including at least 1 year of hands-on Databricks experience)
  • practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience.
  • At least basic knowledge of SQL and one of programming languages: Python/Scala/Java/bash
  • Very good command of English

What have we prepared for you?

A lot of benefits:

  • 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) 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.

Say #Hello to FinTech, InsureTech and HealthTech!

One of Capgemini Poland’s business unit is Financial Services. We have a network of 61 000 FinTech, InsureTech and HealthTech experts in Capgemini’s global locations, so we offer our employees multiple capabilities under one roof!

Insights & Data practice specializes in cutting-edge data solutions, primarily focused on Cloud & Big Data engineering. We process large and unstructured datasets using dedicated Cloud Data services on AWS, Azure, or GCP. Our team manages the entire solution lifecycle, utilizing data processing tools like ETL, coding in Python, Scala, or Java, and applying DevOps practices. We expose data through APIs, outbound interfaces, and visualizations on reports and dashboards.

Within our AI CoE, we tackle Data Science and Machine Learning projects, emphasizing NLP, Anomaly Detection, and Computer Vision. Additionally, we're venturing into Quantum Computing to uncover growth opportunities for both our team and clients. Currently, our team of 250+ Data Architects, Engineers, and Scientists collaborate on exciting projects across various sectors, including Financial Services, Logistics, Automotive, Telco, and more.

Sounds like a place for you? Don't keep us waiting!

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 FinTech website or explore our Metaverse!

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