WORK in lisbon
Data Quality Engineer
About the project
Are you looking for a Data Quality Engineer job in Lisbon? This position focuses on making enterprise data accurate, complete, consistent and dependable for reporting, analytics and business decision-making.
You will design automated quality controls across a cloud-based data platform and work with data engineers, analysts, architects, data owners and governance specialists. The technical environment includes Azure, Databricks, SQL and Python. This is a specialist position requiring at least four years of relevant professional experience and fluent English. Portuguese is not listed among the requirements.
You will design automated quality controls across a cloud-based data platform and work with data engineers, analysts, architects, data owners and governance specialists. The technical environment includes Azure, Databricks, SQL and Python. This is a specialist position requiring at least four years of relevant professional experience and fluent English. Portuguese is not listed among the requirements.
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What you may do- Develop and maintain automated data quality controls across ingestion, transformation, reporting and data product processes.
- Create reusable validation components, quality rules, profiling routines and monitoring standards.
- Convert business expectations into measurable controls, thresholds and acceptance criteria.
- Monitor quality alerts and investigate failed checks.
- Perform root-cause analysis and coordinate corrective action with technical and business teams.
- Incorporate data quality testing into CI/CD pipelines, orchestration processes and production monitoring.
- Document validation rules, test results, exceptions, recurring issues and remediation measures.
- Support data profiling, anomaly detection, reconciliation and regression testing.
- Validate new data sources and platform changes before they are introduced into production.
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Required experience and skills- At least four years of experience in data engineering, data quality engineering, data testing, analytics engineering or data platform delivery.
- Advanced SQL and Python skills for validation, profiling, reconciliation, anomaly detection and automated testing.
- Practical experience with cloud data technologies such as Azure Data Factory, Azure Data Lake, Databricks, Spark or Delta Lake.
- Experience with data quality or observability solutions such as Great Expectations, Databricks Expectations, Deequ, dbt tests, Soda or Monte Carlo.
- Experience building custom data validation solutions will also be considered.
- Understanding of data governance, including ownership, stewardship, metadata, lineage, classification, business rules and issue management.
- Fluent written and spoken English.
- Ability to collaborate effectively with both technical teams and business stakeholders.
Additional advantages- Experience with Microsoft Purview or Unity Catalog.
- Knowledge of Azure Monitor, Log Analytics, Power BI or Microsoft Fabric.
- Experience with CI/CD, version control and Infrastructure as Code.
- Familiarity with agile development methodologies.
- Understanding of data privacy, compliance and security practices. Relevant certification in Azure, Databricks, data governance, data management or software testing.
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What the company offers- Private health insurance from the beginning of your employment.
- Free daily meal options in the company cafeterias, including soup, bread, salads and fruit.
- Access to language courses, sports activities and social events.
- Initial and ongoing training supporting professional and personal development.
- A Lisbon office with convenient public transport connections.
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Why consider this opportunityThis English-speaking data engineering position in Lisbon offers the opportunity to shape data quality practices across an enterprise platform rather than perform isolated manual checks. You will build reusable controls and monitoring processes that influence the reliability of reporting, analytics and business decisions.
The role may be particularly attractive to experienced professionals who want to deepen their knowledge of Azure, Databricks and data governance while working with a wide range of technical and business stakeholders.
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