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województwo małopolskie, Polska
Hybrid
Fancy helping to shape the future of FinTech?
We have always been innovators. In 1996 we were the first company to share exchange rate information, free of charge on the internet. Today, we are a world leading online trading group.
Join us to:
We are only as good as our people. Luckily, our people are the best. Join us!
How do we work?
The Data Engineering Lead is responsible for leading the Data Engineering team to design, build, and scale robust data platforms. Bridging the gap between business needs and technical execution, you will drive end-to-end data solutions from requirements gathering to implementation. A core focus of this role is the hands-on modernization and management of our Data Infrastructure, emphasizing best practices across Airflow orchestration, CI/CD pipelines, and rigorous preproduction testing to ensure the reliable delivery of high-quality data to all stakeholders.
We work in a hybrid model - we'd love to meet you in the office 2 times a week with respect to your own commitments.
In this role, you will:
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.
What skillset you need, to be successful in this role:
5+ years of hands-on experience in Data Engineering, Data Platform Administration, or DevOps.
University / Post Graduate Degree (or equivalent working experience).
Managerial Experience: 2+ years of proven experience supervising and mentoring technical team members.
Infrastructure & Platform Administration: Strong proficiency in managing cloud data platforms, Airflow, automated CI/CD pipelines, and multi-tier environment (dev/stage/prod) setups.
Architecture & Design: Deep understanding of data modeling, scalable architecture design, and infrastructure modernization.
IT Implementation & Integration: Works independently to configure and optimize IT systems, ensuring smooth integration with existing infrastructure.
Agile Planning & Execution: Ability to prioritize workloads, manage deployment cycles, and oversee team activities effectively to meet business objectives.
Optimizes Work Processes: Drives continuous improvement in engineering practices, heavily focusing on automation, productivity, and deployment efficiency.
Manages Complexity: Solves complex, high-quantity technical problems effectively and identifies underlying root causes.
Ensures Accountability: Measures and tracks the team's performance, fostering a strong culture of ownership, high-quality delivery, and feedback.
Communicates Effectively: Bridges the gap between technical teams and non-technical stakeholders, conveying information clearly and concisely.
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At OANDA, to help us efficiently process applications, we use AI-driven tools to help source and rank candidates based on professional experience and skills. While these tools provide recommendations, our recruitment process remains human-centric: all final shortlisting and hiring decisions are made by OANDA team. You have the right to request a human review of your application.
OANDA Global Corporation is a diverse and global team with offices around the world. We value the unique skills and experiences each individual brings to OANDA. We are committed to creating and sustaining a collegial work environment in which all individuals are treated with dignity and respect and one which reflects the diversity of the community in which we operate. We provide an inclusive and accessible environment for everyone. Candidates selected for an interview will be contacted directly. If you require accommodation during the recruitment and selection process, please let us know. We will work with you to provide as seamless a recruitment experience as possible.
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