Data Engineer

Overview

• **Tech for People Unlocks the Future**
• At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better.
• Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
• With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.

Devoteam Culture & Values

Culture

3. Passion

Key Responsibilities

• Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
• Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
• Conduct data profiling, anomaly detection, and validation to identify quality gaps and root causes.
• Develop automated data quality checks and workflows for continuous monitoring and remediation.
• Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
• Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
• Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
• Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
• Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
• Define enterprise data quality standards, policies, and rule frameworks aligned with governance strategy.
• Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
• Conduct root cause analysis and lead remediation programs for chronic data issues.
• Mentor junior engineers and promote data quality best practices across teams.
• Participate in compliance with the local data management regulations (e.g. NDMO, NDI).
• Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
• Collaborate with cross-functional and leadership teams (Data Scientists, Analysts, and Business Leaders) to translate complex business requirements into technical data quality solutions.
• Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.
• Bachelor’s or Master’s degree in Computer Science, Information Management, or related discipline.
• 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
• Proven hands-on experience with enterprise DQ tools (e.g., Informatica DQ/IDMC, Ataccama, Talend DQ, SAS DQ).
• Strong expertise in data profiling, rule design, standardization, and exception management.
• Proficiency in SQL and scripting (Python, Shell, or Scala) for advanced data validation.
• Deep understanding of data governance frameworks and collaboration with data stewards.
• Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
• Strong communication skills for presenting findings and recommendations to business stakeholders.
• Experience mentoring junior engineers or managing small DQ workstreams.
• CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate
• Experience defining data quality strategy and embedding DQ into enterprise data platforms (MDM, DWH, Data Lake).
• Understanding of data lineage, root cause analysis, and impact assessment.
• Knowledge of metadata management and integration with data catalogs.
• Familiarity with regulatory and compliance requirements (e.g., NDMO, NDI).
• Ability to automate DQ workflows through orchestration or CI/CD pipelines.
• **Business Unit: Data & Intelligence**