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Senior Data Engineer (Analytics)

Zartis is a digital solutions provider working across technology strategy, software engineering, and product development.
Europe
Data
Senior Software Engineer
Hybrid
Fitness · Enterprise SaaS
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Description For Senior Data Engineer (Analytics)

Zartis, a digital solutions provider, is seeking a Senior Data Engineer (Analytics) for a project in the fitness industry. The role involves working on a platform that revolutionizes the fitness industry across 60+ countries. Key responsibilities include designing data pipelines, SQL and Python development, working with BI tools, and providing analytical reports. The ideal candidate should have strong skills in SQL, Python, and data modeling, with experience in cloud data warehouses and Apache Airflow. Zartis offers a range of benefits including remote work, career growth opportunities, training, and a wellbeing program. Join a multicultural team developing innovative solutions for real business problems in a flexible and supportive environment.

Last updated 10 months ago

Responsibilities For Senior Data Engineer (Analytics)

  • Design, develop, and maintain data pipelines, ensuring data integrity and reliability
  • Use SQL for querying, data manipulation, and data modeling
  • Implement Python for API creation, integration and data modeling tasks
  • Apply engineering skills with a focus on data modeling, pipeline design, and infrastructure
  • Integrate data from internal and third-party sources
  • Work with BI tools (Looker, PowerBI, Tableau) for creating reports and dashboards
  • Provide analytical reports to both internal stakeholders and external customers

Requirements For Senior Data Engineer (Analytics)

Python
  • Genuine passion for technology and solving problems with new tools and techniques
  • Good understanding of database design, data modeling and data warehouse principles
  • Proficiency in SQL and Python
  • Experience in Apache Airflow
  • Structured thinking with the ability to break down ambiguous problems and propose robust data modeling designs
  • Excellent communication and interpersonal skills
  • Experience working with one of the major cloud data warehouses (GCloud, Azure, AWS preferable, BigQuery, Snowflake)

Benefits For Senior Data Engineer (Analytics)

Education Budget
  • 100% Remote Work
  • WFH allowance: Monthly payment as financial support for remote working
  • Career Growth: Established career development program with 360º feedback
  • Training: Time allocated for tech training, online courses, English classes, books, conferences, and events
  • Mentoring Program
  • Zartis Wellbeing Hub (Kara Connect): Platform providing sessions with specialists
  • Flexible Working schedule
  • Multicultural working environment with tech events, webinars, parties, and team-building activities

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