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Staff Engineer (m/f/d) - Master Data (MDM) (EN)
[15843]
We are currently looking for a freelance "Staff Engineer (m/f/d) - Master Data (MDM)" for our client in the retail sector. Start: asap End: 31.03.2026++ Capacity: Fulltime Location: Remote Our client is seeking a Staff Engineer – Master Data (MDM) to serve as the technical lead for the design, development, and implementation of enterprise-level master data management (MDM) solutions within the Data & Analytics team. This role requires deep expertise in data architecture, modeling, and integration, along with the ability to influence and guide engineering teams, architects, and product stakeholders toward best-in-class MDM capabilities across domains such as product, supplier, location, and customer. As a Staff Engineer, you will not directly manage teams but will drive architectural decisions, set technical direction, and provide hands-on guidance to ensure scalable, high-quality, and future-proof MDM solutions. You will act as a multiplier, raising the technical bar across teams, mentoring engineers, and partnering with product and data leaders to align strategy with execution. Key Responsibilities: ·Provide technical leadership and architecture direction for the enterprise MDM hub, ensuring robust integration with other platforms and downstream systems. ·Design and optimize scalable data models, canonical structures, business rules, and data quality frameworks, in collaboration with data governance, stewardship, and architecture teams. ·Serve as a hands-on expert with MDM platforms (e.g., Stibo STEP, Informatica) and integration tools, guiding teams through implementation and troubleshooting complex challenges. ·Champion engineering excellence by influencing coding standards, testing practices, observability, documentation, and system reliability across MDM initiatives. ·Collaborate with Product Managers, Data Architects, and business stakeholders to translate business goals into sound technical solutions and long-term architectural roadmaps. ·Act as a subject matter expert and mentor, supporting engineers in problem-solving, reviewing designs, and fostering technical growth. ·Define and advocate for platform-wide KPIs (e.g., data quality, latency, availability), ensuring continuous improvement in system performance and resilience. ·Evaluate and introduce emerging technologies in MDM, integration, and cloud ecosystems, assessing their relevance and applicability. ·Partner with leadership to represent technical strategy, risks, and progress to executive stakeholders. Required Qualifications: ·Master’s Degree in Computer Science, Engineering, or related technical/business field, or equivalent experience. ·8+ years of experience in data or software engineering roles, with a proven track record of delivering enterprise-grade MDM or Data Platform solutions. ·Very good knowledge of SAP ERP / S/4HANA and SAP IS-R. ·Hands-on expertise with MDM platforms (e.g., Stibo STEP, Informatica), data modeling, governance, and data quality management. ·Strong proficiency in SQL and NoSQL (e.g., MongoDB), real-time streaming technologies like Kafka, and cloud data services (Snowflake, AWS Glue, Azure Data Factory, Databricks, etc.). ·Experience in distributed data architectures, microservices, and canonical modeling. ·Demonstrated ability to influence engineering practices at scale, drive consensus, and elevate technical standards across teams. ·Strong interpersonal and communication skills, able to explain complex technical concepts to both technical and non-technical stakeholders. ·Passion for continuous learning, experimentation, and technical excellence. Preferred Qualifications: ·Postgraduate certifications in Data Management, Cloud Platforms, or Software Engineering. ·Experience in retail or grocery industries with large-scale MDM implementations. ·Familiarity with customer-centric data strategies and domain-driven design. ·Experience with capacity planning, performance optimization, and large-scale data integration. ·Very good English is a must-have.
- Provide technical leadership and architecture direction for the enterprise MDM hub, ensuring robust integration with other platforms and downstream systems.
- Design and optimize scalable data models, canonical structures, business rules, and data quality frameworks, in collaboration with data governance, stewardship, and architecture teams.
- Serve as a hands-on expert with MDM platforms (e.g., Stibo STEP, Informatica) and integration tools, guiding teams through implementation and troubleshooting complex challenges.
- Champion engineering excellence by influencing coding standards, testing practices, observability, documentation, and system reliability across MDM initiatives.
- Collaborate with Product Managers, Data Architects, and business stakeholders to translate business goals into sound technical solutions and long-term architectural roadmaps.
- Act as a subject matter expert and mentor, supporting engineers in problem-solving, reviewing designs, and fostering technical growth.
- Define and advocate for platform-wide KPIs (e.g., data quality, latency, availability), ensuring continuous improvement in system performance and resilience.
- Evaluate and introduce emerging technologies in MDM, integration, and cloud ecosystems, assessing their relevance and applicability.
- Partner with leadership to represent technical strategy, risks, and progress to executive stakeholders.
- Master’s Degree in Computer Science, Engineering, or related technical/business field, or equivalent experience.
- 8+ years of experience in data or software engineering roles, with a proven track record of delivering enterprise-grade MDM or Data Platform solutions.
- Very good knowledge of SAP ERP / S/4HANA and SAP IS-R.
- Hands-on expertise with MDM platforms (e.g., Stibo STEP, Informatica), data modeling, governance, and data quality management.
- Strong proficiency in SQL and NoSQL (e.g., MongoDB), real-time streaming technologies like Kafka, and cloud data services (Snowflake, AWS Glue, Azure Data Factory, Databricks, etc.).
- Experience in distributed data architectures, microservices, and canonical modeling.
- Demonstrated ability to influence engineering practices at scale, drive consensus, and elevate technical standards across teams.
- Strong interpersonal and communication skills, able to explain complex technical concepts to both technical and non-technical stakeholders.
- Passion for continuous learning, experimentation, and technical excellence.
- Postgraduate certifications in Data Management, Cloud Platforms, or Software Engineering.
- Experience in retail or grocery industries with large-scale MDM implementations.
- Familiarity with customer-centric data strategies and domain-driven design.
- Experience with capacity planning, performance optimization, and large-scale data integration.
- Very good English is a must-have.
Evgeniya Petrova