Join our Data Foundation Delivery team as a Data Quality Engineer in a transformational ERP program. Starting as a consultant for 6 months with a clear path to become a permanent internal team member. You will connect data to business processes, uncover insights, improve data readiness, and help drive the journey from blueprinting to a harmonized SAP S/4HANA future.

Execute data profiling for priority SAP and authoritative non-SAP sources supporting enterprise end-to-end processes.
Translate profiling results into clear data quality findings, business impact views, and remediation inputs for data owners and stewards.
Design, implement, test, and tune reusable data quality rules, thresholds, alerts, and validation checks using Informatica IDMC/IICS/CDQ, SQL, Python, and Databricks.
Support fit-gap analysis, source-to-target assumptions, mapping logic, transition guardrails, and migration readiness inputs for future SAP landscape blueprinting exercise.
Build consistent profiling output packs, Data Health metrics, dashboards, and technical documentation to support transparency and decision making.
Collaborate closely with Data Governance, Technical Data Stewards, Data Owners, business SMEs, Nucleo Program such as Tech Foundation, Finance, and E2E process streams to drive issue triage, root-cause analysis, and remediation planning.

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Data Management, or a related field.
Solid hands-on experience in data quality engineering, data profiling, data validation, data integration, or data migration readiness,



and data remediation within complex enterprise environments.
Strong SQL and Python skills, with practical experience in Databricks, Spark SQL, PySpark, and data pipeline development, optimization, and troubleshooting.
Experience designing, developing, and implementing scalable data quality solutions, controls, monitoring frameworks, and automation capabilities to improve data reliability and trust.
Hands-on experience with Informatica (IDMC, IICS, CDQ), including profiling, rule development, mappings, workflow automation, monitoring, alerts, and remediation processes.
Preferred familiarity with SAP and S/4HANA industry-standard end-to-end business processes, with hands-on experience in one or more areas such as Order-to-Cash, Source-to-Pay, Record-to-Report, Plan-to-Produce, Forecast-to-Supply Planning, or Design-to-Market
Ability to analyze complex data structures, source systems, and business requirements, translating them into effective data quality rules, technical solutions, controls, and documentation.
Strong communication and stakeholder management skills, combined with a collaborative, curious, and accountable mindset, with experience working in Agile, cross-functional, and global team environments.

High-impact role shaping the trusted data foundation for enterprise transformation
Modern data quality and management tooling (Informatica, Databricks, SQL, Python, cloud platforms)
Collaborative environment with Data & AI, business domains, and technology partners
Versátil work environment with accountability and visible business impact

📌 Data Quality Engineer (Barcelona)
🏢 Gracia101 Talent Solutions
📍 Barcelona