Senior Data Engineer

Company Description

Cint is a global software leader in technology-enabled insights. The Cint platform automates the insights gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has the world’s largest consumer network for digital survey-based research, made up of over 310 million engaged respondents across more than 130 countries. Over 3,200 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth.

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in December, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, has a rapidly growing team across its many global offices including, Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

Job Description

• Interact with various business partners and engineers to gather requirements
• Design, develop, test and deploy business intelligence solutions
• Design and document data structures/models and data flows
• Ensure data quality, completeness and accuracy
• Provide significant contributions to the growth of our data infrastructure
• Collaborate with team members in code reviews, discovering better practices and patterns and continuous improvement
• Troubleshoot and support existing business intelligence solutions
• Ready to participate in the team’s ON-CALL support rotation to provide 24/7 support for critical production systems
• Ability to work with team members located in multiple geographies and time zones.
• Ability to work with minimal supervision seeking direction as required.

Qualifications

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or equivalent work experience.  
• 5+ years of related work experience in business intelligence, data engineering, data warehousing, or a similar field. 
• Have extensive experience with Python
• Strong SQL experience including advanced query concepts and query performance tuning
• Have experience with Cloud technologies (AWS and Snowflake)
• Have experience integrating data from multiple data sources and have processed large amounts of unstructured and structured data
• Proven analytical, problem solving, creative thinking and design skills
• Ability to work collaboratively in a fast-paced, team-oriented environment

Preferred Qualifications

• Experience with standard star schema design and development concepts, including fact table types, grain levels, and SCDs
• Have knowledge of multiple database programming languages and knowledge of relational and columnar databases 
• Knowledge of MS BI Stack (SSRS, Power BI, etc)
• Experience working with Matillion and Data Bricks