Senior Data Test Engineer

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Talan

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-07

Consulting • Enterprise • SaaS

Talan is a global company specializing in supporting organizations through positive innovation and transformation. With a presence in 18 countries across 5 continents, Talan offers a diverse range of solutions that enhance decision-making, integrate technology into business strategies, and reinvent business models for resilience and operational excellence. Talan excels in data management and governance, AI-powered solutions, cybersecurity, and cloud platforms. By partnering with leading technology providers like Microsoft, SAP, Oracle, and Salesforce, Talan aims to democratize data use and drive low-carbon transitions. The company also focuses on industries such as energy, transport, financial services, and more, providing insights and solutions tailored to the specific needs of these sectors.

📋 Description

• Design and execute test strategies for data pipelines and analytics solutions • Validate data flows across bronze, silver and gold medallion architecture layers • Test ETL processes, including data quality rules, exception handling, defaulting logic and transformation accuracy • Verify data consistency, completeness and integrity across source and target systems • Validate self-service analytics outputs, including presentation logic, calculations, filters and aggregations • Test reporting solutions for accuracy, usability and alignment with business requirements • Identify, document and follow up on defects, inconsistencies and data issues • Collaborate with data engineers, business analysts, developers and stakeholders to clarify requirements and expected results • Contribute senior testing criteria, risk-based thinking and quality recommendations throughout the delivery lifecycle

🎯 Requirements

• Senior-level experience as a Test Engineer, QA Engineer or Data Test Analyst in complex data environments • Hands-on experience testing medallion architecture or layered data architectures • Strong experience validating ETL processes • Strong understanding of data quality testing, including completeness, accuracy, duplication, reconciliation and consistency checks • Experience testing exception scenarios, defaulting rules and edge cases in data pipelines • Experience validating self-service analytics solutions, including calculations, aggregations, data presentation and report outputs • Ability to work autonomously • Strong analytical mindset and attention to detail • Good communication skills with technical and business stakeholders • Experience in banking, financial services or highly regulated environments is nice to have • Experience with cloud-based data platforms or modern data lakehouse approaches is nice to have • Knowledge of SQL for data validation and reconciliation is nice to have • Experience with BI or reporting tools such as Power BI, Tableau, Qlik or similar is nice to have • Experience working in Agile delivery teams is nice to have • Previous exposure to automated data testing frameworks or test management tools is nice to have

🏖️ Benefits

• Training and career development • Private medical insurance • Life insurance • Language lessons • Possibility to be part of a multicultural team • Work on international projects