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Capgemini Polska
Data aktualizacji: 2024-07-15
Senior Data Engineer
Nr ref. 8000 42636530
Aplikuj
Poznań, Gdańsk, Katowice, Wrocław, Lublin, Warszawa, Kraków, Opole, wielkopolskie, pomorskie, śląskie, dolnośląskie, lubelskie, mazowieckie, małopolskie, opolskie
IT, BPO/SSC, Inżynieria
angielski
Praca hybrydowa
Data aktualizacji: 2024-07-15 Aplikuj
Capgemini Polska
Senior Data Engineer
REKRUTACJA ZDALNA
Senior Data Engineer

Senior Data Engineer


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 role:

We are seeking a Senior Data Management Engineer to join our dynamic team. The ideal candidate will be responsible for expanding and optimizing our Autonomous Driving Data Management Toolchain. They will collaborate closely with reprocessing and vehicle instrumentation teams on data initiatives to ensure an optimal and consistent data delivery process.

Your future tasks:

  • Designing data models
  • Building, developing, and testing ELT / ETL processes
  • Assembling large, complex data sets that meet functional and non-functional business requirements
  • Defining and computing KPIs
  • Designing data visualization dashboards
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Analyzing large amounts of vehicle data to discover trends and patterns
  • Writing and refactoring code into reusable libraries, APIs, and tools for clear, efficient, tested, and high-quality code
  • Supporting business analytics initiatives cross-Departments

Our Requirements:

  • 3+ years of experience in a similar role
  • Strong experience with data mining/data analysis methods, building and implementing models, and using/creating algorithms
  • Proficiency with SQL
  • Knowledge of Database Management Systems (e.g., PostgreSQL, MySQL)
  • Proficiency with scientific programming in Python (e.g., Numpy, Scipy, Scikit-learn, Pandas)
  • Experience with functional programming in Scala
  • Experience in at least one of the main Big Data frameworks and platforms (e.g., Spark, Hadoop, Databricks, Snowflake, Airflow)
  • Proficiency with software engineering principles
  • Excellent written and communication skills
  • Ability to work within a team and with a proactive attitude

Nice to have:

  • Previous automotive experience
  • Knowledge of Data Visualization Tools (e.g., Kibana, Grafana)
  • Proficiency with CI/CD topics
  • Familiarity with the Agile/Scrum Framework
  • Image Processing (e.g., color space conversion, camera calibration, image undistortion)
  • Point-Cloud Processing (e.g., iterative closest point, 3D transformations, 3D -> 2D projection, Motion compensation)

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: NetflixSpotifyMultisport, 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 PluralsightTED 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 AutomotiveAI and DataSoftware & InternetTelecommunication, 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.