Data Engineer - INTL Europe

Insight Global is looking to hire a Data Engineer within one of their clients Marketing Automation’s Team. This is a fully remote position sitting in Europe. You will be the architectural backbone of our data-driven marketing strategy. You will bridge the gap between marketing platforms (like Marketo) and our high-performance data warehouse. This role isn’t just about moving data; it’s about ensuring that our marketing stack operates with operational excellence, accuracy, and scalability. You will support the migration from legacy infrastructure to contemporary solutions while ensuring our marketing teams have real-time data they need to drive business growth.

Key Responsibilities Pipeline Architecture: Design, develop, and maintain robust data pipelines using BigQuery, Airflow, and dbt. Infrastructure & Sync: Build and manage seamless ingestion and sync workflows between core marketing platforms and our data warehouse. DevOps & Automation: Create and manage CI/CD pipelines in GitLab to ensure automated testing and deployment of all data solutions. Cloud Management: Monitor and troubleshoot Google Cloud infrastructure and workflows to guarantee 99.9% data availability and quality. Optimization: Implement advanced data models and optimize storage and retrieval processes to manage costs and performance. Migration: Lead the transition of existing data infrastructure and legacy pipelines into our modern tech stack. Governance & Quality: Conduct rigorous Code Reviews for Merge Requests (predominantly SQL) and implement data observability standards. Marketing Support: Enable Reverse ETL scenarios (using tools like Workato or Census) to activate data directly within marketing tools.

Technical Hard Skills 3+ years in Data Engineering (or 2+ years in Backend/DS with 1+ year in DE). Cloud Proficiency: Hands-on experience with a major cloud provider (we use GCP). The Stack: SQL: Senior-level proficiency (Window functions, complex joins, and query optimization). Python: Mid+/High-level proficiency for scripting and automation. Orchestration: Expert knowledge of Airflow and dbt. Experience using Terraform to manage environment stability. Deep familiarity with GitLab for Version Control and CI/CD. Proficiency in Jira for task management and Confluence for documentation. Soft Skills Proactive troubleshooting, identify system weaknesses before they fail. Ability to translate technical data limitations into actionable business insights for Marketing stakeholders. Proven ability to build reliable, high-trust partnerships across different departments. Nice to have Direct experience with Marketo or other enterprise-level Marketing Automation platforms. Experience with Reverse ETL tools and API Management. Familiarity with data quality and observability frameworks to monitor pipeline health.