Senior QA Engineer - Data Engineering (Azure)

Strong experience in data testing / QA within data engineering environmentsHands-on experience with SQL for data validation and analysisExperience testing ETL pipelines and data workflowsFamiliarity with Azure Data Factory, Azure Synapse, and Azure SQLUnderstanding of data quality concepts, validation techniques, and data integrity checksExperience with end-to-end testing, regression testing, and UAT support for data systemsExposure to CI/CD processes and test automation frameworksStrong analytical and problem-solving skillsExcellent English communication skillsNice to haveExperience working with healthcare or regulated data (PII, sensitive datasets)Familiarity with data lake architectures and large-scale data platformsExperience working with distributed teams and U.S.-based stakeholdersUnderstanding of data governance and data quality frameworks At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact: At Jacobs, we support critical clients across healthcare, life sciences, and medical societies by building modern data platforms that enable better insights, operational efficiency, and data driven decision making. For our U.S. Medical Societies portfolio, we process and manage large volumes of sensitive healthcare related data, including patient, clinician, and visit information, delivered on a recurring and time critical basis.We are seeking a QA Engineer – Data Engineering (Azure) to ensure the quality, accuracy, and reliability of our data platforms built on the Microsoft Azure ecosystem. This role is focused on validating complex data pipelines, transformations, and large scale data processing workflows that power critical healthcare data solutions.You will work closely with data engineers, analysts, and U.S.-based stakeholders to ensure data integrity across ingestion, transformation, and delivery layers. Given the time sensitive nature of healthcare data processing, this role plays a key part in maintaining data quality standards and supporting stable, reliable data operations across environments.This is an excellent opportunity for a QA professional who enjoys working with data at scale, combining strong SQL validation skills with modern cloud-based data engineering technologies such as Azure Data Factory and Synapse. We offer: Rewarding employment: Full-time employment or B2B with a salary that matches your qualifications Flexible hours: Start your day anytime between 7:30 and 10:00 AM Comprehensive benefits: Including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system Co-financed holidays: Enjoy "Wczasy pod Gruszą" for a well-deserved break Global projects: Engage in exciting international projects Inclusive networks: Join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more Continuous learning: Participate in our Graduate Development Program, Learners’ Community, and self-learning platforms Language courses: Enhance your skills with courses in English, German, and Polish We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team Wyświetl e-mail na nofluffjobs.com ,[Validate data pipelines and ETL processes built in Azure Data Factory (ADF) and Azure Synapse, Perform data validation using SQL (row counts, joins, aggregations, data accuracy checks), Ensure data quality, completeness, and consistency across source and target systems, Validate data models, schemas, and transformations in Azure SQL and Synapse, Design and execute test cases for data ingestion, transformation, and loading workflows, Conduct end-to-end testing of data pipelines (integration, regression, and UAT support), Test incremental and historical data loads, error handling, and pipeline dependencies, Identify data defects, analyze root causes, and collaborate with engineers to resolve issues, Build and maintain automated data testing frameworks, Implement and support CI/CD quality checks for data pipelines, Contribute to defining QA standards, best practices, and data validation strategies, Work closely with U.S. stakeholders, product owners, and project managers, Collaborate daily with distributed teams across the U.S., UK, and Poland, Support reliable and timely delivery of business critical data products] Requirements: SQL, Data pipelines, ETL, QA, Azure Data Factory, Data, Databricks, CI/CD, Python, DWH, Big data, Spark Tools: Jira, Confluence, Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Language courses, Mentoring program, Career growth, Work-life balance, Flexible working hours, Trainings, Life insurance, International projects, Modern office, Free coffee, Bike parking, Shower, Free parking, Startup atmosphere, No dress code.