MSD Customer Success Engineer dbt 

Czechia 

789618638

Job Description

Key Responsibilities

• dbt Cloud Implementation: Lead the implementation of dbt within the organization, including setup, configuration, and integration with existing data pipelines.

• Training & Support: Develop and deliver training sessions and workshops for data teams to promote best practices in using dbt for data transformation.

• Documentation: Create and maintain comprehensive documentation for dbt workflows, processes, and best practices to facilitate knowledge sharing.

• Collaboration: Work closely with data analysts and engineers to understand their needs and provide tailored solutions using dbt.

• Quality Assurance: Establish and enforce standards for data quality and testing within dbt models to ensure reliable and accurate data outputs.

• Performance Monitoring: Monitor the performance of dbt models and workflows, identifying areas for optimization and improvement.

• Community Engagement: Foster a culture of collaboration and knowledge sharing among data teams, encouraging the use of dbt and participation in the dbt community.

Qualifications

• Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.

• Experience:

  • 2+ years of experience in data engineering, analytics, or a related field.

  • Hands-on experience with dbt, including model development, testing, and deployment.

• Technical Skills:

  • Proficiency in SQL and experience with data warehousing solutions (e.g., Databricks, Redshift).

  • Familiarity with version control systems (e.g., Git) and CI/CD practices.

  • Understanding of data modeling concepts and ELT processes.

• Soft Skills:

  • Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Problem-solving mindset with a focus on delivering high-quality solutions.

  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Looker).

• Knowledge of cloud platforms (e.g., AWS, Azure, GCP).

• Previous experience in a training or mentorship role.

What we offer:

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

• Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programs

• Up-to-date laptop and iPhone

• Competitive salary, incentive pay, and many more

Current Contingent Workers apply

Not Applicable

Academic Quality Improvement Program (AQIP), Academic Quality Improvement Program (AQIP), Agile Data Warehousing, Business, Business Intelligence (BI), Computer Science, Database Administration, Databricks Platform, Data Engineering, Data Management, Data Modeling, Data Quality, Data Visualization, Data Warehouse Management, Data Warehousing Systems, Design Applications, Git Version Control System, Information Management, Knowledge Sharing, Management Process, Mentorship, Quality Assurance (QA), Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more}

*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.