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SNI

Senior Data Engineer

Wrocław
vor 12 Stunden

Kurzfassung

Senior Data Engineer role focusing on designing & maintaining data pipelines, building scalable data products & APIs, and collaborating with stakeholders. Requires 4+ years experience, Python, SQL, big data frameworks (Spark, Databricks), and Azure. Promotes best practices & CI/CD.

Von KI erstellte Kurzfassung des Anzeigentextes.

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 RES

Tful APIs or data-serving layers.

  • Familiarity with modern data platform governance, cataloging, and lineage tools (e.g., Microsoft Purview, Unity Catalog).

Follow us on Linkedin: https://www.linkedin.com/company/snisourcing/posts/?feedView=all

PLDE2650

Veröffentlicht 2026-11-04
Läuft ab 2027-02-02
Quelle