Remote Data Quality Engineer

Summary

Join our team in Capco as a Data Quality Engineer and work on exciting transformation challenges around data for international banks and insurance companies. You will develop data quality queries, modernize processes, and set up state-of-the-art solutions. As you gain experience, you will take on more responsibility and lead sub-projects and smaller project teams.

Requirements

• A successfully completed university degree
• Fluent English (German is a big advantage)
• Experience with data quality queries and automated data checks with T-SQL, PL SQL
• Experience with Python is an advantage
• Big query and GCP knowledge is added advantage
• Payment and finance industry experience is added advantage

Responsibilities

• Develop data quality queries and automated data checks with T-SQL, PL SQL to carry out data quality measurements and clean up problems that arise
• Work with some of the largest banks in the world, on projects that will transform the financial services industry
• Modernize related processes and set-up, develop, and optimize state-of-the-art solutions and the corresponding data management all the way from business analysis to implementation
• Gradually take on more responsibility for your topics, as well as lead sub-projects and smaller project teams

Benefits

• Sick days, employee’s vacation – 25 days per year, regardless of the age
• Cafeteria provided by the Benefits plus services (50 EUR monthly) and/or contribution to 3rd pillar
• Fully paid meal vouchers
• Smartphone and internet with 1.000 GB of data, laptop
• Remote work within Czech republic (Home-office)
• Technical and soft skills training, professional certifications, full access to the Udemy online learning platform