Link Group

Senior Data Engineer (Snowflake)

140 - 160 PLN/ godz./ godz.

SeniorHybryda·KrakówFull-time

#416665·Dodano dwa miesiące temu·7

Źródło: LinkGroup

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Tech Stack / Keywords

SnowflakeAIETL SQL MicroservicesArchitectureAutomated TestingSecurity

Firma i stanowisko

LinkGroup is recruiting for a Senior Data Engineer to join a growing team in Kraków working on a mission-critical, AI-powered SaaS product supporting high-value business decisions.

Wymagania

Strong hands-on experience with Snowflake including data modelling, performance tuning, cost optimisation, and security/governance.
Proven experience building production-grade ELT/ETL pipelines using tools such as dbt, Apache Airflow, or Azure Data Factory.
Expert-level SQL skills.
Working knowledge of at least one general-purpose programming language, preferably Python, for automation and data processing.
Practical experience using AI-assisted development tools like Claude or Cursor to improve development speed, quality, and documentation.
Strong data quality mindset with experience in testing, monitoring, alerting, and observability.
Ability to take ownership of initiatives from unclear requirements to reliable data products.
Strong communication skills to explain technical data topics to business stakeholders.

Nice to have:

Experience with Power BI including semantic models, DAX, and Power Query.
Experience in finance, accounting, fintech, or regulated environments.
Familiarity with Microsoft Fabric and data mirroring from Azure sources.
Experience with cloud-native data architectures in Azure or AWS such as Azure Synapse, Azure Data Lake, AWS Glue, or S3.
Experience with streaming or event-driven ingestion using Kafka or Azure Event Hubs.
Understanding of Responsible AI principles and data infrastructure for auditable AI/ML pipelines.
Interest in modern data stack trends, open-source tools, or emerging analytics engineering practices.

Obowiązki

Build and maintain reliable ELT/ETL pipelines from transactional systems, microservices, event streams, and external sources into Snowflake.
Design clean, performant, and scalable data models for reporting, analytics, and customer insights.
Contribute to the architecture of the end-to-end data platform covering ingestion, transformation, serving, and analytics.
Apply modular, tested, and well-documented data modelling practices.
Use AI development tools such as Claude and Cursor for pipeline development, query optimisation, documentation, and quality improvements.
Implement data quality checks, automated testing, monitoring, and observability in data pipelines.
Support code reviews, documentation, and knowledge sharing regarding Snowflake, data modelling, performance optimisation, and best practices.
Collaborate closely with Software Engineers, Product Managers, Finance stakeholders, and analytics teams to translate data needs into data products.

Benefity

Hybrid work arrangement.
Remote interview option.

Link Group

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