Senior Data Engineer

SNI; Wrocław; On-site; PLN 240,000 - 420,000; Full time

Job summary

SNI is seeking a senior data engineer to design, build, and maintain automated data ingestion and ELT/ETL pipelines. You will develop scalable data products and API-based data services, collaborating with stakeholders and cross-functional squads to understand business domains and legacy systems.

You will mentor teammates, implement testing strategies and CI/CD for reliable code delivery, and work with data architects to ensure governance, quality, security, and scalable architectures.

Qualifications

• 4+ years of experience designing data warehouse solutions and end-to-end data products.
• Advanced Python and SQL for large-scale data processing.
• Hands-on with Spark, Databricks, Azure Data Factory, or Delta Lake.
• Proven Azure data platform deployment experience and data modeling knowledge.
• Experience with CI/CD for data platforms and cost optimization.

Responsibilities

• Design, develop, and maintain automated data ingestion and ELT/ETL pipelines from source systems.
• Build and support scalable data products and API-based data services.
• Collaborate with stakeholders and cross-functional squads to define domains and systems.
• Advise on architecture decisions, data governance, quality, security, and scalability.
• Mentor team members and promote engineering best practices across data modeling and pipelines.
• Implement testing strategies, automated validation gates, and CI/CD for reliable delivery.

Skills

Python

SQL

Apache Spark

Databricks

Azure Data Factory

Delta Lake

Data Modeling

CI/CD

Communication

Agile

Tools

Apache Spark

Databricks

Azure Data Factory

Delta Lake

Purview/ lineage tools

Job description

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.

Responsibilities

• Design, develop, and maintain automated data ingestion and ELT/ETL integration pipelines from source systems.
• Build and support scalable data products and API-based data services.
• Collaborate with business stakeholders, subject-matter experts, and cross-functional squads to understand business domains and legacy systems.
• Advise stakeholders on technical trade-offs, architecture decisions, and data solution design.
• Partner with data architects and stewards to enforce data governance, quality baselines, security, and scalability.
• Make independent architectural and tooling decisions in coordination with product owners.
• Mentor team members and promote engineering best practices across data modeling and pipeline architecture.
• Implement testing strategies, automated validation gates, and CI/CD pipelines for reliable code delivery.

Skills

• 4+ years of professional experience designing data warehouse solutions and end-to-end data products.
• Advanced proficiency in Python and complex SQL for large-scale data processing.
• Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, Azure Data Factory, or Delta Lake.
• Proven track record architecting and deploying scalable data platforms on Microsoft Azure.
• Strong knowledge of data modeling (dimensional modeling, Data Vault, or medallion architecture) and cloud cost optimization.
• Experience implementing automated testing and CI/CD workflows for data platforms.
• Strong communication skills and independence in a distributed, agile environment.

Nice to Have

• Experience with Master Data Management (MDM) tools and data governance practices.
• Practical background in designing and developing RESTful APIs or data-serving layers.
• Familiarity with modern data platform governance, cataloging, and lineage tools (e.g., Microsoft Purview, Unity Catalog).

PLDE2650