Data Quality Engineer

Expleo Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

Yesterday

Mid (2-5 yrs) Full-time Portugal

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About the role

The Data Quality Engineer will be responsible for implementing data quality rules, monitoring data lineage, and performing root cause analysis. They will also collaborate with multidisciplinary teams to ensure data integrity across sales and finance business processes.

What they look for

Data Quality Data Engineering Analytics Engineering SQL Data Profiling Data Validation Data Reconciliation Root Cause Analysis Automated Testing Snowflake Data Modeling Data Governance Python CI/CD Financial Reporting

Requirements

Candidates must have professional experience in data engineering or analytics with solid knowledge of SQL and cloud data platforms. Proficiency in Python, version control, and excellent communication skills in English are required for this role.

Full description

Overview

Expleo is a trusted partner for your innovation journey. As a global engineering, technology and consulting service provider, we are ideally positioned to help you achieve your ambitions and future-proof your business. With a smart blend of bold thinking and reliable execution, we’re able to fast-track innovation through each step of your value chain.

We are strategically positioned to build value, with global footprint across 30 countries.We are as global and local as you need us to be, with strong best-in-class pan-European technological centres and unique best-shoring capabilities.

We leverage a network of high value-adding affiliates in consulting and industrial excellence, and leading partners across multiple sectors to provide you with the most comprehensive services and solutions in an ever-changing environment.

Essential skills

- Professional experience in Data Quality, Data Engineering, or Analytics Engineering, preferably in data-driven environments.- Solid knowledge of SQL, including data profiling, data validation, data reconciliation, root cause analysis, and automated testing.- Experience with cloud data platforms and data pipelines; knowledge of Snowflake, data modeling, and data transformation is a plus.- Knowledge of Data Governance, Metadata, Data Lineage, and Data Quality Monitoring, including the definition and implementation of quality rules.- Experience with Python, version control, CI/CD, and automation tools; experience using AI tools in data analysis and engineering processes is a plus.- Knowledge of business processes in the areas of Sales and Finance, specifically Revenue, Pricing, Costs, Profitability, and Financial Reporting.- Excellent communication skills in English, with strong analytical abilities, the ability to collaborate with multidisciplinary teams, and attention to detail; knowledge of German or another European language is a plus.