Senior Data Engineer

Leading visual platform for designing, building, and automating tasks, workflows, apps, and systems without coding skills.
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

Make is revolutionizing the automation landscape with its visual platform that enables anyone to design and build sophisticated workflows without coding expertise. As a Senior Data Engineer, you'll join a tight-knit team of three within the broader Analytics organization, working from their headquarters in Prague or remotely across their global offices. The role demands expertise in data engineering, with responsibilities spanning from pipeline development to infrastructure management using tools like Airflow, AWS, and Terraform. You'll be instrumental in translating complex business requirements into scalable data solutions while maintaining robust data governance practices. The position offers significant growth opportunities, including leading projects and mentoring team members, backed by comprehensive benefits like equity, flexible work arrangements, and professional development support. The company's diverse, multinational environment and focus on work-life balance make it an attractive destination for data professionals looking to make a meaningful impact.

Last updated 3 months ago

Responsibilities For Senior Data Engineer

  • Design, build, and manage robust data pipelines using Airflow
  • Contribute to data platform development with custom plugins and operators
  • Manage and optimize AWS cloud-based infrastructure
  • Implement and manage infrastructure using Terraform
  • Translate business needs into data architecture and workflows
  • Design and maintain scalable data models
  • Build and optimize SQL data models
  • Implement data governance practices
  • Develop data quality checks and validation frameworks
  • Collaborate with cross-functional teams
  • Lead data engineering projects and mentor team members

Requirements For Senior Data Engineer

Python
  • 5+ years of experience in data engineering roles
  • Proficiency in Python with production-grade coding ability
  • Experience with AWS cloud services and Airflow
  • Expertise in SQL and analytical data warehouses (Snowflake)
  • Strong data modeling skills
  • Deep understanding of data governance practices
  • Experience with data quality frameworks
  • Excellent communication skills
  • Project management and leadership abilities

Benefits For Senior Data Engineer

Equity
Medical Insurance
Vision Insurance
Dental Insurance
Parental Leave
  • RSUs grant
  • Annual bonus
  • Learning & Development plan
  • 2 Company Learning Days per year
  • 3 Company Impact Days per year
  • Notebook/Macbook and 34" curved monitor
  • 25 days of vacation
  • 4 sick days
  • 10 care days
  • Extended parental leave (3-6 months)
  • RSUs grant for newborn child
  • Life insurance
  • Benefit Plus Cafeteria with MultiSport Card
  • Remote working allowance
  • Office snacks and meals
  • Flexible working hours
  • Dog-friendly office
  • Team buildings and company events

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