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Senior Data Engineer (Snowflake, AWS, ETL)
AI Summary
Design, develop, and maintain data pipelines and systems. Collaborate with AI scientists and data analysts. Manage data quality and security.
Key Highlights
Design and develop data architecture incorporating Snowflake, Immuta, Collibra, and cloud security
Implement and optimize ETL/ELT processes, manage raw data, automate workflows
Collaborate with analytics and business teams to identify user needs and deliver comprehensive solutions
Technical Skills Required
Benefits & Perks
Great Place to Work
Solid financial situation
Contracts with the biggest brands
Centre of internal trainings
Many experts you can learn from
Open and accessible management team
Profit sharing
Passion Sponsorship program
Regular integration events and trips
Comfortable and well-equipped offices
MySii app
Medical care
Job Description
We are looking for a Data Engineer with expertise in Snowflake, AWS, and ETL processes, who will work closely with AI scientists and data analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.
Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.
Your tasks
- Design and develop data architecture incorporating Snowflake, Immuta, Collibra, and cloud security
- Implement and optimize ETL/ELT processes, manage raw data, automate workflows, and ensure high performance and reliability of data processing systems
- Manage data quality and security, monitor quality, and implement metadata management strategies
- Collaborate with analytics and business teams to identify user needs and deliver comprehensive solutions supporting analytics and reporting
- Optimize and migrate data systems through data and process conversion from existing systems to Data Vault
- Define and enforce coding standards, data modeling, and ETL/ELT architecture, ensure compliance with Data Mesh and other modern approaches
- Coach and mentor the data engineering team, conduct code reviews, participate in architectural discussions, and initiate innovative technological solutions
- Strong expertise in cloud technologies and the Snowflake ecosystem, particularly AWS, Data One Platform, Immuta, Collibra, and cloud security aspects
- Minimum 5 years of experience in Python programming for building and maintaining data pipelines
- Advanced knowledge of databases, including query optimization, relational schema design, and MPP using SQL
- Expertise in data storage technologies, including files, relational databases, MPP, NoSQL, and various data types (structured, unstructured, metrics, logs)
- Deep familiarity with Data Vault, Data Mesh, dimensional modeling, and metadata management
- Understanding of business and analytical processes, as well as integration with analytics and reporting systems
- Experience working in Agile environments, coaching development teams with the use of fluent English and Polish
- Residing in Poland required
- Knowledge of Pharma data formats is a big plus
Benefits For You
Great Place to Work
Solid financial situation
Contracts with the biggest brands
Centre of internal trainings
Many experts you can learn from
Open and accessible management team
Profit sharing
Passion Sponsorship program
Regular integration events and trips
Comfortable and well-equipped offices
MySii app
Medical care
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