Data Engineer Senior Consultant

Recruitment process for this position and onboarding trainings are conducted online.


                        

What do you need to start?

  • Data elaborate (relational and non-relational databases)
  • Know-how of data structures & models
  • Experience with SQL & data visualization (Power BI, Tableau, etc.)
  • Strong analytical skills
  • Experience with ETL processes
  • Experience with process mining solutions (like UiPath, Celonis, ARIS, SAP Signavio, ProM) is an asset
  • Higher education, preferred quantitative methods, econometrics, mathematics, statistics or related, IT
  • Knowledge and skills regarding issues related to data analysis and creating analytical models (statistical / data mining / machine learning / data science) / detecting fraud (networks of connections)
  • Proficiency in English is a must (other languages: German, French, Spanish… is an asset)

 

What duties will help you grow?

  • Business solutions concept development with applied analytics and data driven products
  • Identification of business benefits for the implemented business scenarios
  • Identify process inefficiencies and quantify the impact
  • Technical set up and connecting data in process mining tools
  • Map business goals with data
  • Conduct Process Mining and Process Modeling using data-driven, automated, visual tools
  • Work with the business to understand data analysis requirements
  • Write SQL code to connect to a process in process mining tools
  • Configure data jobs, loads and data models
  • Implement process transformation with opportunities identified and prioritized
 

Primary Responsibilities
  • Design & deliver data models/schemas
  • Design, build and maintain data pipelines that create efficient data science & data analyst datamarts, ensuring solutions are optimised for processing of typical queries and reducing repetitive processing
  • Develop approaches to democratise and industrialise analytics and data science capabilities
  • Identify & implement ways to increase efficiency & improve data reliability through automation
  • Complete all relevant testing to ensure code is de-bugged and the datamarts and tools are robust and accurate
  • Based on requirement, make recommendations on how data should be structured in order to deliver optimum user experience at the right speed while minimising platform cost
  • Create and maintain both tech & user documentation (incl. data dictionaries)
  • Provide coaching and guidance to junior data engineers
  • Report on data quality and recommend ways to increase data cleanliness and improve our cleansing activities
  • Recommend methodologies for matching and transforming data
  • Recommend improvements in consumer journeys in order to capture and match greater volumes of data

 

What have we prepared for you?


Space where you can develop yourself:
  • Development programs, external courses & conferences, co-funding for certificates, NEXT platform with free access to TED talks, Coursera materials, articles and virtual trainings: MS Azure, AWS, Google Cloud or ServiceNow.  
  • You will have possibility to join various technical communities.
  • Flexible working hours thanks to a variety of projects. Ask your recruiter about possible options.

 Our famous atmosphere:
We don’t have a rigid dress code, but what we do have are awesome communities and world – changing initiatives. There’s always someone happy to start a day with a cup of coffee with you – even virtually! We are a big company with unique atmosphere – we make friendships, share important moments, and… simply like each other!
 A lot of benefits:
  • Well-being package (private medical care, additional life insurance & StayWell helpline).
  • Referral bonuses for recommending your friends to Capgemini.
  • Inspiro Audiobooks & Nais access. 
  • Offices in great locations, car leasing program. 

 

Who are we?


As the digital innovation, consulting and transformation brand of the Capgemini Group, Capgemini Invent helps CxOs envision and build what’s next for their organizations. Located in more than 30 offices and 22 creative studios around the world, it´s 6,000+ strong team combines strategy, technology, data science and creative design with deep industry expertise and insights, to develop new digital solutions and business models of the future.We are a rapidly growing team of talented Data Science enthusiasts which have dedicated themselves to building innovative and data-driven products & services for customers across industries. Our aim is to rapidly develop cutting-edge solutions by applying the latest technologies and data science techniques.
Do you have any additional questions about working at Capgemini? Check our Instagram (@capgeminipl) or visit our Facebook profile (Capgemini Polska).
 

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