Data Analytics Engineering Specialist

Quick Facts

Role: Data Analytics Engineering Specialist

Focus: Data processing & integration, data warehouse development, data quality/observability

Description

You will design and develop data processing and integration processes and co-create solutions for a data warehouse. In day-to-day work you will use SQL and Python to model data, evolve existing solutions, and translate business requirements into technical implementations. You will collaborate with your team, other internal stakeholders, and clients, while proactively diagnosing and resolving issues.

Responsibilities

• Analyze business requirements and design technical solutions for data integration and processing
• Model data structures as part of development and maintenance of the data warehouse
• Process data and manage process scheduling
• Maintain code repositories; create technical documentation and data catalogs
• Perform Code Review and co-create and apply standards for Data Monitoring, Data Observability, and Data Quality
• Independently diagnose and fix errors following established procedures
• Work closely with other teams and provide subject-matter support

Requirements

• Minimum 2 years of practical experience in designing, building, and independently optimizing data processing pipelines
• Practical knowledge of SQL (any dialect)
• Knowledge of data warehousing concepts
• Good knowledge of data modeling principles and practices
• Very good knowledge of ETL, ELT, and ETLT and automation of data flows
• Experience working with Git
• Ability to identify business needs and translate them into technical solutions
• Proactive approach to problem solving and improving existing solutions
• High sensitivity to data confidentiality and adherence to information security standards
• Strong communication skills and good organization of work

Benefits

• Participation in an extensive IT project for pharmaceutical customers in Poland
• Employment form depending on needs
• Real impact through development of a single data source feeding multiple FarmaProm products and services
• Hybrid work option after onboarding
• Leader support during onboarding
• Private medical care
• Team integration events
• Employee referral program
• Extra vacation and birthday leave
• Achievement “Puzzle” activity
• Sports card