Data Engineering Lead

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

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: Help build the future of online trading Be part of a culture driven by integrity and global impact Become part of an award-winning company - check out our full list of awards here 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.

Required skills and experience

• 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.

Diversity and Inclusion

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.

OANDA Global Corporation is a diverse and global team with offices around the world.

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.

Candidates selected for an interview will be contacted directly.

___ 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 aims to transform all aspects of how the world interacts with currencies, whether that be trading or utilizing currency data and information. We'll do this our way - connecting and collaborating with the best and most innovative to grow quickly and globally. We strive to do more than just our jobs, focus our actions on collective goals and dare to seek out innovation and creativity. All this to continue our obsession with providing the best experience for our customers. Innovation has been at the heart of everything we do! From our roots in 1997 providing free currency exchange information over the internet to launching an award-winning global trading business. We work together to drive the future of currency data solutions and trading technology. Our customers can invest in around 200 financial instruments including currencies, shares (over 1300) and commodities leveraging intelligent support and the newest technologies.

What is more, we are now offering a batch of popular cryptocurrencies in the US! - OANDA is now a major global player. We are proud to be recognized!