Data Quality Engineer – English speaker in Lisbon

Teleperformance Portugal; Lisboa; Híbrido; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Daily free meals

Language courses

Sport activities

Social events

Training & development

Easy public transport access

Resumo da oferta

Teleperformance Portugal is seeking a Data Quality Engineer to join Lisbon's data platform team. You’ll design and operate automated data quality controls that improve accuracy, completeness, and trust in reporting and analytics.

You’ll work with data engineers, analysts, and governance stakeholders in cloud environments using Azure, Databricks, SQL and Python, ensuring quality across ingestion, transformation, and data products.

Qualificações

• 4+ years in data engineering, data quality engineering, data testing, analytics engineering, or data platform delivery.
• Strong SQL and Python for validation, profiling, reconciliation and anomaly detection.
• Hands-on with cloud data platforms and tools such as Azure Data Factory, ADL, Databricks, Spark, Delta Lake.
• Experience with data quality/observability frameworks such as Great Expectations, Databricks Expectations, Deequ, dbt tests, Soda, Monte Carlo.
• Understanding of data governance concepts including ownership, stewardship, metadata, lineage and business rules.
• Fluent in English (written and spoken).
• Nice to have: Purview, Unity Catalog, Azure Monitor, Power BI, CI/CD, IaC, agile methodologies, data privacy, compliance, security practices, or relevant Azure/Databricks certifications.

Responsabilidades

• 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.

Conhecimentos

Fluent in English

Data quality concepts

Collaboration with teams

Ferramentas

Azure Data Factory

Azure Data Lake

Databricks

Spark

Delta Lake

Great Expectations

Databricks Expectations

Deequ

dbt tests

Power BI

Descrição da oferta de emprego

Data Quality Engineer – English speaker in Lisbon

Lisbon

Information Technology

Developer

What you can expect

Join a team focused on building trusted, reliable, and business-ready data across an enterprise data platform. As a Data Quality Engineer, you’ll help design and operate automated data quality controls that improve data accuracy, completeness, consistency, and overall confidence in reporting, analytics, and decision-making.
You’ll 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.
• 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.

TP Portugal

With a team of more than 13,000 employees from 97 nationalities, TP Portugal provides services in 38 languages for some of the most prestigious international brands. TP Portugal is one of the 25 best companies to work for in Europe.

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