
1001 - 5000 employees
Founded 2002
đŒ Consulting
đŠ Logistics
đ„ Healthcare
Consulting âą Logistics âą Healthcare
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
đ„ 2 minutes ago
đ”đ± Poland â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đ» Ghost score 12%
Where this job comes from
Posted on Infotree Global Solutions's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago

1001 - 5000 employees
Founded 2002
đŒ Consulting
đŠ Logistics
đ„ Healthcare
Consulting âą Logistics âą Healthcare
Infotree Global Solutions is a staffing and workforce management company that aims to meet the career needs of individuals while ensuring client satisfaction through its resources. It is heavily focused on recruitment and consultant care, providing opportunities across various industries such as automotive, engineering, IT, finance, and banking. Founded in 2002, Infotree Global Solutions operates globally, with more than 5,000 coworkers and 400 recruiters in 150 countries. The company is committed to delivering quality placements that lead to lifelong careers, supported by a dedicated team of recruiters and consultant care representatives.
âą Design, deploy, and scale robust, automated data pipelines and architectures across the enterprise data ecosystem âą Develop clean, performant, and reliable dimensional models and production data assets using Snowflake and dbt âą Implement automated data quality frameworks, monitoring, and governance practices âą Ensure data assets are secure, durable, and performant âą Maintain Git-based version control, CI/CD deployment pipelines, and modern orchestration tools âą Explore and integrate AI/ML capabilities into data management workflows âą Automate operations and unlock new product capabilities
âą 3+ years of professional hands-on data engineering experience âą Bachelorâs degree in Computer Science, Data Science, Engineering, or a related technical discipline âą Advanced SQL skills âą Solid production programming skills in Python âą Proven production experience modeling data using Snowflake and dbt âą Solid grasp of modern orchestration âą Experience with CI/CD pipelines âą Git workflow experience âą Experience with automated testing/data quality suites âą Hands-on exposure to cloud infrastructure such as AWS, GCP, or Azure is a bonus âą Experience incorporating AI tools and workflows into data pipelines is a bonus
âą Supportive team environment âą Opportunities to grow and challenge themselves in their roles âą Recruiter and consultant care support committed to success and well-being
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