Description:

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 include designing and implementing scalable and reliable data pipelines, defining and enforcing data engineering best practices, conducting code reviews, building and maintaining batch and real-time data pipelines, ensuring data quality and governance, partnering with product and analytics teams, and evaluating emerging technologies for future-proofing the data platform.

Requirements:

Candidates must have 12+ years of experience in the 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 is required.
Strong programming skills in Python and Scala are essential.
Deep experience with distributed data processing systems such as Apache Spark, Databricks, and Delta Lake is necessary.
Proficiency with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (Dynamo) is required.
A strong understanding of ETL/ELT workflows, data warehousing concepts, and modern data lake architectures is needed.
Candidates should employ the established Data Governance model to sustain Data Quality and implement necessary operating mechanisms for compliance.
Knowledge of CI/CD practices is important.
Excellent problem-solving skills and the ability to design creative, efficient solutions for complex data challenges are essential.
A background in AI and machine learning pipelines is a plus.
Candidates should be proactive, self-driven, and detail-oriented with a strong sense of ownership.

G-P offers competitive compensation and benefits to its employees.
The company fosters a diverse, equitable, and inclusive culture that celebrates authenticity.
G-P is committed to providing reasonable accommodations to individuals with disabilities during the interview process.