Detalhe da Oferta:
Join a team focused on building trusted, reliable, and business-ready data across an enterprise data platform. As a Data Quality Engineer, youll help design and operate automated data quality controls that improve data accuracy, completeness, consistency, and overall confidence in reporting, analytics, and decision-making.
Youll collaborate with data engineers, analysts, architects, data stewards, data owners, and governance stakeholders, working in cloud data environments using technologies such as Azure, Databricks, SQL, and Python.
What you'll do
Design, implement, and maintain automated data quality checks across ingestion, transformation, reporting, and data product workflows;
Build reusable validation components, rule templates, profiling routines, and monitoring patterns to support consistent quality practices;
Translate business and stakeholder expectations into measurable rules, thresholds, controls, and acceptance criteria;
Monitor data quality alerts, investigate failures, perform root-cause analysis, and coordinate remediation with technical and business teams;
Integrate data quality checks into CI/CD, orchestration, and production monitoring workflows;
Document quality rules, test results, exceptions, issue patterns, remediation actions, and control coverage;
Support data profiling, anomaly detection, reconciliation, and regression testing for new data sources and platform changes.
What you'll need
4+ years of experience in data engineering, data quality engineering, data testing, analytics engineering, or data platform delivery;
Strong experience with SQL and Python for validation, profiling, reconciliation, anomaly detection, and automated testing;
Hands-on experience with cloud data platforms and tools such as Azure Data Factory, Azure Data Lake, Databricks, Spark, Delta Lake, or similar technologies;
Experience with data quality or observability frameworks such as Great Expectations, Databricks Expectations, Deequ, dbt tests, Soda, Monte Carlo, or custom solutions;
Understanding of data governance concepts, including ownership, stewardship, metadata, lineage, classification, business rules, and issue management;
Fluent in English (written and spoken);
Nice to have: experience with Microsoft Purview, Unity Catalog, Azure Monitor, Log Analytics, Power BI, Microsoft Fabric, CI/CD, version control, Infrastructure as Code, agile methodologies, data privacy, compliance, security practices, or relevant certifications in Azure, Databricks, data governance, data management, or software testing.
Benefits
Health Insurance from the moment you join our team;
Enjoy daily free healthy meals in our cafeterias, including soup, bread, salads and fruit;
Access language courses, sport activities and social events;
Grow with us through our initial and continuous training and personal development;
Easy public transport access to our offices.
Apply here:
https://jobs.teleperformance.pt/joboffers/data-quality-engineer-english-speaker-in-lisbon/
Youll collaborate with data engineers, analysts, architects, data stewards, data owners, and governance stakeholders, working in cloud data environments using technologies such as Azure, Databricks, SQL, and Python.
What you'll do
Design, implement, and maintain automated data quality checks across ingestion, transformation, reporting, and data product workflows;
Build reusable validation components, rule templates, profiling routines, and monitoring patterns to support consistent quality practices;
Translate business and stakeholder expectations into measurable rules, thresholds, controls, and acceptance criteria;
Monitor data quality alerts, investigate failures, perform root-cause analysis, and coordinate remediation with technical and business teams;
Integrate data quality checks into CI/CD, orchestration, and production monitoring workflows;
Document quality rules, test results, exceptions, issue patterns, remediation actions, and control coverage;
Support data profiling, anomaly detection, reconciliation, and regression testing for new data sources and platform changes.
What you'll need
4+ years of experience in data engineering, data quality engineering, data testing, analytics engineering, or data platform delivery;
Strong experience with SQL and Python for validation, profiling, reconciliation, anomaly detection, and automated testing;
Hands-on experience with cloud data platforms and tools such as Azure Data Factory, Azure Data Lake, Databricks, Spark, Delta Lake, or similar technologies;
Experience with data quality or observability frameworks such as Great Expectations, Databricks Expectations, Deequ, dbt tests, Soda, Monte Carlo, or custom solutions;
Understanding of data governance concepts, including ownership, stewardship, metadata, lineage, classification, business rules, and issue management;
Fluent in English (written and spoken);
Nice to have: experience with Microsoft Purview, Unity Catalog, Azure Monitor, Log Analytics, Power BI, Microsoft Fabric, CI/CD, version control, Infrastructure as Code, agile methodologies, data privacy, compliance, security practices, or relevant certifications in Azure, Databricks, data governance, data management, or software testing.
Benefits
Health Insurance from the moment you join our team;
Enjoy daily free healthy meals in our cafeterias, including soup, bread, salads and fruit;
Access language courses, sport activities and social events;
Grow with us through our initial and continuous training and personal development;
Easy public transport access to our offices.
Apply here:
https://jobs.teleperformance.pt/joboffers/data-quality-engineer-english-speaker-in-lisbon/