All offersWrocławDataData Engineer #142410
Data Engineer #142410
Data
Credit Suisse

Data Engineer #142410

Credit Suisse
Wrocław
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office

Tech stack

    Big Data
    regular
    SQL
    regular
    Data analysis
    regular
    ETL
    nice to have

Job description

Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.

We Offer 
Are you ready to become a part of our Team within our dynamic state-of-the-art organisation that values diversity and offers flexibility? By joining us you will have a chance to build up your career by performing a variety of meaningful tasks:

  • The opportunity to become part of our highly motivated data engineering team in Credit Suisse focusing on building and driving new and state of the art technologies in various fields
  • A challenging role as Data Engineer in a dynamic, international and fast paced environment using the latest innovations in Big Data
  • You will work closely with Data Owners, Business and Big Data Project team to clarify requirements
  • You will take care of data discovery and understanding in source systems, collecting metadata, mapping data elements to business data requirements and do data profiling
  • You will involve in preparing technical connectivity specifications for the development team and implementation of data quality checks
  • You will serve as data subject matter expert during user acceptance testing and in discussions with IT partners
  • You will be part of an open-minded team with a strong team spirit that acts in a versatile, dynamic, and flexible working environment
  • A chance to work in a fun team with strong technical mentoring in a new greenfield project where you will be stretched daily and will learn all about technology in finance

Open to discussing flexible/agile working.

You Offer 

  • Bachelor or Master degree in Information Technology or Computer Science
  • Strong technology background in Databases and/or Data warehouses with good understanding of tables, views, indexes, normal forms
  • Experience of big data HDFS and dealing with massive data sets is a strong plus
  • Experience with Data Warehouse and Big Data technologies is a plus
  • Knowledge of Agile tools such as JIRA and Confluence
  • This is 80% programming in SQL like technologies with Python and Unix scripting
  • ETL knowledge is a strong plus
  • Ability to write sophisticated SQL queries including cross database joins is a strong plus
  • Knowledge or familiarity with Unix environment
  • Strong data analytical skills in tools like Excel
  • Excellent interpersonal, communication and presentation skills
  • Fluency in English (written and spoken)
  • Your high-level of confidentiality, integrity and responsibility enable you to deal with critical and confidential data
  • As demonstrated standout colleague, self-starter, and independent thinker you are willing to cooperate in a highly collaborative environment and to contribute to the team's success
  • You are willing to assume additional responsibilities and to become a respected know-how carrier in our team


Our benefit
  • Private medical care
  • Life insurance for employees and additional insurance options available for family members
  • Pension plan
  • Charity days
  • Training and development
  • Internal Mobility

Other optional
  • Language training course
  • Mentoring
  • Family – nursery and kindergarten funding, gift vouchers for Christmas
  • Parking allowance
  • Health promotion: Multisport card, sporting events and groups within Credit Suisse (skiing trips, football team, running team, tennis training course etc.)
  • Employee discounts on various products and services (event tickets, consumer products, etc.)
  • Relocation package
  • Employee Referral Program
  • Flexible work schedule and working from home (home office)


Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.