gt-hq - Data Engineer | NDA

Krakow, Poland3w ago

Remote Mid EMEA Cloud Computing Data Engineer dbt SQL Snowflake Python Airflow

Requirements

• Experience: 4–8 years in data engineering, with experience in building production-grade data pipelines. • Tech Stack: Proficient in SQL, Python, and dbt, with strong experience in Snowflake. Additional experience with Spark, Airflow, and Azure Data Lake or similar technologies. • Cloud Platforms: Familiarity with Azure (preferred) or other major cloud platforms. • Data Engineering Best Practices: Understanding of data modeling, version control, CI/CD, and data governance principles. • Curiosity & Ownership: Proactive, detail-oriented, and eager to take ownership of projects and continuously improve systems. • Team Player: Comfortable working in a cross-functional environment and open to learning from and supporting teammates.

Responsibilities

• Build Data Pipelines: Design and maintain robust, scalable ETL/ELT pipelines to ingest and process third-party and first-party datasets. • Data Quality & Enrichment: Apply transformation, normalization, and enrichment rules to ensure data consistency and usability. • Collaborate Across Teams: Work with product managers, data architects, and content experts to align data structure with business needs. • Operationalize Matching & Merging Logic: Support the implementation of data matching and entity resolution processes using AI/ML tools and proprietary frameworks. • Monitor & Troubleshoot Pipelines: Build alerts, logs, and metrics to ensure data flows remain healthy and issues are identified and resolved quickly. • dbt Development: Build and maintain data pipelines using dbt, developing models from raw data through staging and intermediate layers up to final semantic models for use in analytics and dashboards. • Documentation & Standards: Contribute to documentation, code quality standards, and internal best practices to ensure maintainability.

Benefits

• Join a fast-growing, high-impact team at the intersection of 2 key projects, building a data product core to client’s future. • Contribute to an ambitious effort to create the highest quality, most comprehensive business directory in the world. • Be part of a project, a startup-style group within the company that’s redefining how we deliver consulting through productization and data innovation. • Work with cutting-edge data tools, including AI/ML enrichment, semantic matching, and modern cloud-based infrastructure.