Data Platform Lead — AI-Driven Pipelines & Infra

OANDA Poland sp. z o.o.; Kraków; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

OANDA Poland sp. z o.o. is seeking a Data Engineering Lead to guide the data team in designing, building, and scaling robust data platforms across cloud environments.

You will drive end-to-end data solutions from requirements to production, with a hands-on focus on Airflow orchestration and dbt. The role emphasizes CI/CD, testing, and incident readiness, plus mentoring engineers and championing AI-assisted development while maintaining security and quality standards.

Qualifications

• 5+ years of hands-on experience in Data Engineering, Data Platform Administration, or DevOps.
• University / Post Graduate Degree (or equivalent working experience).
• 2+ years of managerial experience supervising and mentoring technical team members.
• Strong proficiency in managing cloud data platforms, Airflow, automated CI/CD pipelines, and multi-tier environment (dev/stage/prod) setups.
• Deep understanding of data modeling, scalable architecture design, and infrastructure modernization.
• Works independently to configure and optimize IT systems, ensuring smooth integration with existing infrastructure.
• Ability to prioritize workloads, manage deployment cycles, and oversee team activities effectively to meet business objectives.
• Drives continuous improvement in engineering practices with automation, productivity, and deployment efficiency.
• Solves complex, high-quantity technical problems effectively and identifies underlying root causes.
• Measures and tracks the team's performance, fostering a strong culture of ownership, high-quality delivery, and feedback.
• Bridges the gap between technical teams and non-technical stakeholders, conveying information clearly.

Responsibilities

• Team Leadership & Direction: Lead, mentor, and support a team of data engineers, driving the successful delivery of business-critical data projects.
• Data Infrastructure Management: Oversee the design, architecture, and maintenance of scalable data platform infrastructures and cloud environments.
• Pipeline & Orchestration: Develop and optimize Apache Airflow, to build, monitor, and scale automated, high-performance data pipelines. Utilize dbt as the primary tool for data transformation and modeling across data workflows.
• CI/CD & Preproduction Environments: Implement and enforce rigorous CI/CD practices and comprehensive testing strategies, including unit, integration, and regression tests. Manage robust staging and preproduction environments to guarantee seamless, heavily tested, and reliable deployments to production.
• Architecture & Tooling Selection: Evaluate, select, and install appropriate data tooling based on evolving business needs. Ensure architectures align with industry best practices for data integrity and preservation.
• Operational Excellence: Lead on-call duties and incident management while proactively driving system improvements. Focus on implementing rigorous incident classification, collaborating with upstream teams to drive incident reduction, and leveraging testing and process enhancements to ensure long-term system reliability and stability.
• AI Champion: Act as an AI champion within the team, driving the adoption of AI agents for both software development and incident management, while ensuring that rigorous security and quality standards are maintained throughout the process.

Skills

Data Engineering

Data Platform Administration

DevOps

Cloud Environments

Leadership

Education

University / Post Graduate Degree (or equivalent)

Tools

Airflow

dbt

Job description

OANDA Poland sp. z o.o. is seeking a Data Engineering Lead to guide the data team in designing, building, and scaling robust data platforms across cloud environments.

You will drive end-to-end data solutions from requirements to production, with a hands-on focus on Airflow orchestration and dbt. The role emphasizes CI/CD, testing, and incident readiness, plus mentoring engineers and championing AI-assisted development while maintaining security and quality standards.