Data Engineer | NDA

GT (Global Talent) Ltd

Job Overview

Location

Poland - Remote

Job Type

Full-time

Full Job Description

📋 Description

• Design and maintain scalable ETL/ELT pipelines to ingest, transform, and enrich firmographic data from third-party and proprietary sources for a unified data platform.
• Apply transformation, normalization, and enrichment rules to ensure data consistency, accuracy, and usability across two distinct data ecosystems.
• Build and maintain data models using dbt, progressing from raw data through staging and intermediate layers to final semantic models used in analytics and dashboards.
• Operationalize data matching and entity resolution logic using AI/ML tools and proprietary frameworks to improve data integrity and deduplication.
• Monitor, troubleshoot, and optimize data pipelines by implementing alerts, logs, and performance metrics to ensure continuous, reliable data flow.
• Collaborate closely with data architects, product managers, and content experts to align data structures with business requirements and analytical needs.
• Contribute to documentation, code quality standards, and internal best practices to ensure long-term maintainability and knowledge sharing.
• Work within a cloud-based infrastructure, primarily on Azure, leveraging technologies such as Snowflake, Spark, and Airflow to support large-scale data operations.
• Support the development of a global business directory considered central to the client’s mission of delivering data-driven consulting insights.
• Participate in a startup-style team within a global management consultancy focused on productization and innovation in data-driven service delivery.
• Engage in a 6-month contract role with potential for extension, contributing to a high-impact project at the intersection of consulting and data product development.

🎯 Requirements

• 4–8 years of experience in data engineering with a proven track record of building production-grade data pipelines
• Proficiency in SQL, Python, and dbt, with strong hands-on experience in Snowflake
• Familiarity with Azure cloud platform; experience with Spark, Airflow, and Azure Data Lake or similar technologies is preferred
• Understanding of data modeling, version control, CI/CD, and data governance principles
• Proactive, detail-oriented mindset with ownership of systems and a drive to continuously improve data quality and pipeline efficiency
• Comfort working in cross-functional teams and collaborating with data architects, product managers, and analysts

🏖️ Benefits

• Join a fast-growing, high-impact team building a core data product for a leading global management consultancy
• Contribute to an ambitious initiative to create the highest quality, most comprehensive business directory in the world
• Work with cutting-edge tools including AI/ML enrichment, semantic matching, and modern cloud-based infrastructure
• Be part of a startup-style group within a large organization focused on innovation through productization and data

Skills & Technologies

Python

Azure

Apache Spark

Remote

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GT (Global Talent) Ltd

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About GT (Global Talent) Ltd

GT operates as a tech staffing and engineering hub provider that helps high‑growth companies build and manage remote development teams and delivery centers—handling recruitment, local operations, payroll/EOR, and ongoing management to scale engineering capacity in CEE and other regions.

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