Principal Quality Engineer for Data & Analytics

Job Posting Organization:
The European Bank for Reconstruction and Development (EBRD) is a pioneering international organization established to foster the transition towards open market-oriented economies and promote private and entrepreneurial initiative in countries from Central Europe to Central Asia. Founded in 1991, the EBRD operates in over 30 countries and employs a diverse workforce that reflects a broad range of backgrounds, perspectives, and experiences. The organization is committed to sustainability, equality, and digital transformation, making a real difference in the lives of people in the regions it invests in. The EBRD values inclusiveness, innovation, trust, and responsibility, which are at the heart of its operations and culture, shaping its success and impact in the regions it serves.

Job Overview:
The Principal Quality Engineer for Data & Analytics will lead the quality engineering strategy and execution across next-generation data platforms. This role involves embedding quality at the core of Microsoft Fabric, Azure Integration Services, IDMC, and Tibco EBX, ensuring that automated data validation, lineage checks, and regression testing are integrated into CI/CD pipelines. The engineer will be responsible for pressure-testing resilience with failover scenarios, validating mission-critical data flows, and ensuring that every data pipeline is robust, reliable, and scalable. The position requires a deep understanding of advanced automation, AI/ML-driven assurance, and shift-left/shift-right practices to accelerate delivery while maintaining control. The successful candidate will leverage a variety of technical tools and frameworks to enhance the reliability of modern Data and Analytics ecosystems in a fast-paced environment.

Duties and Responsibilities:
The Principal Quality Engineer will integrate Agile and DevOps principles across data integration pipelines, aligning with ITIL v4 and DataOps for quality-centric operational delivery. Responsibilities include embedding data quality checks and lineage validation into CI/CD workflows using Azure DevOps pipelines, implementing regression testing and data comparison strategies across multi-environment ADF pipelines, and applying resilience and failover validation scenarios to critical data flows. The engineer will also be tasked with ensuring business continuity through simulated connector outages and queue backlogs, and will be responsible for alert responsiveness in critical situations. Additionally, the role involves collaborating with cross-functional teams to ensure quality standards are met and maintained throughout the data lifecycle.

Required Qualifications:
Candidates must hold an ISTQB Advanced Test Manager certification or an equivalent recognized certification in test management. A qualification in IT Service Management, such as ITIL v3 or v4 Foundation, is also required. Familiarity with the NIST cybersecurity framework (CSF) and the EU Digital Operational Resilience Act (DORA) is essential. The ideal candidate will demonstrate comprehensive QA leadership across advanced automation, performance, and shift-left or shift-right testing. Experience in Quality Engineering management within an agile, product-focused IT department, preferably in a financial institution, is necessary. Candidates should also have experience with advanced AI/ML approaches for improving quality efficiency and effectiveness, as well as a strong understanding of testing data platform configurations and setups.

Educational Background:
A bachelor's degree in Computer Science, Information Technology, or a related field is required. Advanced degrees or certifications in relevant areas will be considered an asset. Continuous professional development and staying updated with the latest trends in data analytics and quality engineering are highly encouraged.

Experience:
Candidates should have extensive experience in quality engineering management and operations, particularly within agile environments. A strong background in testing data platforms and data engineering solutions on Microsoft Intelligent Data Platform, including Microsoft Fabric and Azure Databricks, is essential. Experience with Azure DevOps and familiarity with performance testing and automation tools is also required. The role demands a proven track record of working in high-stakes environments where quality assurance is critical to business success.

Languages:
Fluency in English is mandatory, both written and spoken. Knowledge of additional languages relevant to the EBRD member countries is considered a plus, as it enhances communication and collaboration within the diverse workforce.

Additional Notes:
This position is a fixed-term contract lasting 3 years. The EBRD promotes a hybrid working culture, expecting employees to collaborate in person at least three days a week. The organization offers a comprehensive suite of competitive benefits and prioritizes employee wellbeing. The EBRD is committed to diversity and encourages all qualified candidates from its member countries to apply, ensuring equal opportunities regardless of background.