Staff Data Engineer

About Us

Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

Job Summary:

We are seeking a highly experienced Staff Data Engineer to lead the design, development, and optimisation of our data architecture, pipelines, and workflows. This role will serve as a technical lead within the organisation, setting best practices, mentoring team members, and solving complex data challenges to enable data-driven decision-making at scale.

As a Staff Data Engineer, you will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to design systems that transform raw data into actionable insights while ensuring scalability, security, and reliability.

Key Responsibilities:

Technical Leadership

• Design, and implement scalable and reliable data pipelines, ensuring the processing of large volumes of structured and unstructured data.
• Define and enforce data engineering best practices, coding standards, and architectural principles across teams.
• Conduct code reviews and provide mentorship to junior and senior data engineers.

Data Pipeline Development

• Build and maintain batch and real-time data pipelines using tools such as Apache Spark, Kinesis, and AWS services.
• Works with multiple teams to coordinate the event-driven architecture, managing inter-dependencies and promoting consistency.
• Ensure data quality, governance, and security by implementing monitoring, validation, and compliance tools.

Collaboration & Cross-Functional Engagement

• Partner with product, analytics, and data science teams to understand business requirements and translate them into technical solutions.
• Work closely with DevOps and software engineering teams to deploy and maintain production-ready data infrastructure.

Innovation & Scalability

• Evaluate and recommend emerging technologies and frameworks to ensure the data platform remains future-proof.
• Drive initiatives to improve the performance, scalability, and efficiency of existing systems.

Required Skills & Experience

• 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.

We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. 

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.