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# Principal, Quality Eng; Data & Analytics

- **Company:** The Ebrd
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Audit Trail, Automation of Tests, Microsoft Azure, Continuous Integration, Data Governance, Data Infrastructure, Data Integration, DevOps, Python (Programming Language), Reference Data, Power BI, DataOps, Azure Data Lake, SQL Databases, Data Streaming, Test Data, Strategies of Testing, Transact-SQL, Authentication Authorization Accounting (Server Program), Powerquery, Microsoft Fabric, Git Flow, Deployment Automation, Data Analytics, Cloud Integration, Api Management, Control M
- **Published:** August 11, 2026
- **Apply:** https://eu.experteer.com/career/view-jobs/principal-quality-eng-data-and-analytics-london-grossbritannien-58894966

## About the Role

core approaches for Microsoft Fabric workloads (Lakehouse, Warehouse, Medallion Architecture, Data Factory pipelines, notebooks, semantic models, Power BI) * Establish QA practices for EBX master/reference data, including workflow validation, hierarchy testing and data governance rule validation * Define QA patterns for Azure Integration Services (API testing, message validation, monitoring, resilience) * Lead QA for Informatica IDMC data integration services including lineage and data quality rules * Shape testing for Control-M orchestration (batch scheduling, dependencies, recovery, SLA monitoring) * Align QA with SOX, DORA, IFRS and modern delivery (Agile, DevOps, DataOps, QA-Ops) * Partner with domain experts and engineers to ensure data accuracy, lineage and financial validation in test strategies * Design test data and environments for complex financial and reporting scenarios * Drive AI/ML-enabled testing, performance engineering, observability and data quality analytics * Advance aa
Microsoft maturity with shift-left/right, reusable automation, and measurable QE outcomes Tasks * Demonstrable experience leading QA/Quality Engineering across modern Data & Analytics platforms (ingestion, transformation, orchestration, modeling, reporting, operational support) * Strong experience testing data platform configurations across Microsoft Fabric, Medallion Architecture, Azure Data Lake Gen2, SQL-based warehouses * Hands-on understanding of Microsoft Fabric workloads (Lakehouse/Warehouse, Data Factory, Dataflows Gen2, notebooks, Power BI, DAX, XMLA validation) * Experience validating end-to-end data flows across source systems, integration layers and downstream reporting * Experience or strong knowledge of EBX, Azure Integration Services, Informatica IDMC and Control-M-style scheduling/orchestration * Proficiency in writing/reviewing validation queries using T-SQL, Python, Power Query, DAX or equivalent * Experience embedding testing into CI/CD via Azure DevOps, Git workflows, aaa
test gates and automated deployment controls * Strong leadership in QE or QA within enterprise/financial services/regulatory environments * Ability to define test, automation, environment and test data strategies for complex multi-platform delivery * Deep knowledge of test automation, data reconciliation, interface validation, regression, performance and resilience testing * Understanding of regulatory and operational risk considerations (SOX, DORA, IFRS, auditability, traceability, business continuity) * Ability to influence stakeholders and translate technical risk into business-facing insight * Excellent communication and strategic thinking for cross-functional alignment Key requirements *

## Description

Experteer Overview In this role you will lead Quality Engineering across critical Data & Analytics platforms, embedding QA into design and delivery at scale. You will shape a strategic QE capability in a regulated financial environment, aligning across data, integration, and reporting to ensure accuracy, resilience and performance. You'll drive AI-powered testing, automation-first approaches, and cross-functional collaboration to elevate testing as a core engineering discipline. This is a chance to impact how financial systems are validated and trusted at scale. Pay / Benefits * Define and drive the QE strategy for the Data & Analytics platform estate, ensuring quality from design to operations * Lead platform-wide QA across Microsoft Fabric, EBX, Azure Integration Services, Informatica IDMC and Control-M with consistent standards and governance * Embed automation-first testing into CI/CD pipelines for functional, regression, data quality and operational validation * Define validation approaches for Microsoft Fabric workloads (Lakehouse, Warehouse, Medallion Architecture, Data Factory pipelines, notebooks, semantic models, Power BI) * Establish QA practices for EBX master/reference data, including workflow validation, hierarchy testing and data governance rule validation * Define QA patterns for Azure Integration Services (API testing, message validation, monitoring, resilience) * Lead QA for Informatica IDMC data integration services including lineage and data quality rules * Shape testing for Control-M orchestration (batch scheduling, dependencies, recovery, SLA monitoring) * Align QA with SOX, DORA, IFRS and modern delivery (Agile, DevOps, DataOps, QA-Ops) * Partner with domain experts and engineers to ensure data accuracy, lineage and financial validation in test strategies * Design test data and environments for complex financial and reporting scenarios * Drive AI/ML-enabled testing, performance engineering, observability and data quality analytics * Advance engineering maturity with shift-left/right, reusable automation, and measurable QE outcomes Tasks * Demonstrable experience leading QA/Quality Engineering across modern Data & Analytics platforms (ingestion, transformation, orchestration, modeling, reporting, operational support) * Strong experience testing data platform configurations across Microsoft Fabric, Medallion Architecture, Azure Data Lake Gen2, SQL-based warehouses * Hands-on understanding of Microsoft Fabric workloads (Lakehouse/Warehouse, Data Factory, Dataflows Gen2, notebooks, Power BI, DAX, XMLA validation) * Experience validating end-to-end data flows across source systems, integration layers and downstream reporting * Experience or strong knowledge of EBX, Azure Integration Services, Informatica IDMC and Control-M-style scheduling/orchestration * Proficiency in writing/reviewing validation queries using T-SQL, Python, Power Query, DAX or equivalent * Experience embedding testing into CI/CD via Azure DevOps, Git workflows, quality gates and automated deployment controls * Strong leadership in QE or QA within enterprise/financial services/regulatory environments * Ability to define test, automation, environment and test data strategies for complex multi-platform delivery * Deep knowledge of test automation, data reconciliation, interface validation, regression, performance and resilience testing * Understanding of regulatory and operational risk considerations (SOX, DORA, IFRS, auditability, traceability, business continuity) * Ability to influence stakeholders and translate technical risk into business-facing insight * Excellent communication and strategic thinking for cross-functional alignment Key requirements *


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