Staff Data Engineer

January 24

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G-P

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G-P is a leading global company specializing in Employer of Record (EOR) solutions, providing businesses with the tools to hire, onboard, and manage teams in over 180 countries quickly and compliantly. The company offers a comprehensive suite of global employment products under its G-P Meridian Suite™, including services for hiring employees and contractors, managing global payroll, time management, expenses, HR support, and employee assistance. G-P is recognized for its compliance expertise, featuring the world's first AI-based HR compliance advisor, G-P Gia™, which delivers AI-driven advice and solutions for HR compliance challenges. With a strong network of partners and industry-leading EOR SaaS solutions, G-P supports HR, legal, and financial compliance globally. Their offerings are designed to simplify the employment lifecycle and accelerate global business expansion.

Compliance • Human Resources • International Business • Global Business Expansion • International Legal Expertise

1001 - 5000 employees

👥 HR Tech

📋 Compliance

☁️ SaaS

📋 Description

• Lead the design, development, and optimisation of our data architecture, pipelines, and workflows. • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers. • Design systems that transform raw data into actionable insights while ensuring scalability, security, and reliability. • Define and enforce data engineering best practices, coding standards, and architectural principles across teams. • Build and maintain batch and real-time data pipelines using tools such as Apache Spark, Kinesis, and AWS services. • Ensure data quality, governance, and security by implementing monitoring, validation, and compliance tools. • Partner with product, analytics, and data science teams to understand business requirements and translate them into technical solutions. • Evaluate and recommend emerging technologies and frameworks to ensure the data platform remains future-proof.

🎯 Requirements

• 12+ years of experience in data engineering field, with at least 2 years in a senior or staff-level role. • Expertise in designing and implementing scalable data architectures for big data platforms. • Strong programming skills in Python, Scala. • Deep experience with distributed data processing systems such as Apache Spark, Databricks, Delta Lake. • Proficiency with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (Dynamo). • Strong understanding of ETL/ELT workflows, data warehousing concepts, and modern data lake architectures. • Employ the established Data Governance model to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance. • Knowledge of CI/CD practices. • Excellent problem-solving skills and the ability to design creative, efficient solutions for complex data challenges. • Background in AI, machine learning pipelines is a plus. • Proactive, self-driven, and detail-oriented with a strong sense of ownership.