Data Engineer | NDA
Data Engineer | NDA
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Job Description
GT was founded in 2019 by a former Apple Nest and Google executive.GTs mission is to connect the worlds best talent with product careers offered by high-growth companies in the UK USA Canada Germany and the Netherlands.
On behalf ofthe client GT is looking for a Data Engineer.
About the Client & the Project
Our client is a leading global management consultancy known for tackling some of the worlds most complex business challenges. With a focus on strategy transformation and performance improvement the firm partners with major organizations across industries to drive lasting impact. Recognized consistently as a top workplace it combines deep industry expertise with a collaborative innovative culture. Its centralized European hub plays a key role in supporting operations across the EMEA region ensuring excellence and efficiency at scale.
About the Role
The Data Engineer will play a critical role in developing maintaining and scaling the pipelines and data systems that power BizMaps unified data platform. Working alongside data architects product managers and analysts this role is focused on ingesting transforming and enriching firmographic data from multiple third-party and proprietary sources.
Its a contract role for612 months.
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 from Coro and Helix 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.
Documentation & Standards: Contribute to documentation code quality standards and internal best practices to ensure maintainability.
Essential knowledge skills & experience:
Experience: 48 years in data engineering with experience in building production-grade data pipelines.
Tech Stack: Proficient in SQL Python and experience with Spark Airflow Snowflake 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.
Why join our client
Join a fast-growing high-impact team
Contribute to an ambitious effort to create the highest quality most comprehensive business directory in the world.
Be part of a startup-style group within the company thats redefining how they deliver consulting through productization and data innovation.
Work with cutting-edge data tools including AI/ML enrichment semantic matching and modern cloud-based infrastructure.
Employment Type
Contract
