• Design, build, and maintain scalable data platforms and solutions tailored to business needs • Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives • Optimize and monitor data workflows to ensure performance, scalability, and reliability • Stay current with the latest trends in data technologies and apply innovative solutions to complex challenges

• Design, build, and maintain scalable data platforms and solutions tailored to business needs • Collaborate with stakeholders across teams to understand requirements and deliver impactful data initiatives • Optimize and monitor data workflows to ensure performance, scalability, and reliability • Stay ahead with the latest trends in data technologies, applying innovative solutions to complex challenges

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Role Overview The Senior Data Engineer reports to the Product Manager and operates within the Product Management organization. This role bridges product strategy, data operations, and technical implementation, ensuring that Reltio’s internal data ecosystem serves as a reliable, intelligent, and scalable source of contextual truth. The position combines systems thinking, hands-on configuration, integration development, automation, and data governance execution. The ideal candidate is technically strong, analytically rigorous, and highly motivated to expand into emerging technologies — particularly in AI. Curiosity, adaptability, and a strong desire to continuously learn are essential for success in this role. Key Responsibilities - Partner with Product, Engineering, Marketing, Finance, HR, Sales, and Data Stewards to define and implement enterprise data strategies and governance frameworks. - Configure and optimize Reltio’s platform to support evolving business and product requirements. - Design and implement integrations across enterprise systems using modern cloud technologies (AWS, GCP, Azure). - Build and maintain data pipelines and process flows ensuring data accuracy, integrity, and reliability. - Translate business requirements into scalable data models and system designs. - Drive data quality initiatives, including monitoring, cleansing, deduplication, and anomaly detection. - Develop automation workflows to improve operational efficiency and reduce manual intervention. - Create interactive dashboards and visualizations to communicate insights to stakeholders. - Support AI-driven initiatives by preparing high-quality datasets and exploring use cases involving machine learning, anomaly detection, and contextual intelligence. - Continuously evaluate emerging technologies in AI, automation, and data engineering to enhance product and operational capabilities. Required Qualifications - 4+ years of programming, analysis, or systems design experience using Python, or similar languages. - Strong SQL and database experience. - Experience working with JSON and REST APIs. - Hands-on experience with data integrations and ETL tools (e.g., Workato, MuleSoft, Talend). - Experience with cloud platforms (AWS, GCP, or Azure). - Familiarity with cloud data warehouses (e.g., BigQuery) and BI tools (Looker, Tableau, Qlik, Data Studio). - Ability to design and implement automation solutions to improve efficiency. - Strong understanding of enterprise data workflows and governance principles. - Excellent cross-functional communication and stakeholder management skills. - BS in Computer Science, Data Science, Engineering, or equivalent experience. Preferred Qualifications - Experience with Salesforce Sales Cloud and martech platforms such as Marketo. - Experience in data science or machine learning, including anomaly detection or predictive analytics. - Exposure to AI-driven product features or experimentation in AI workflows. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

• Deputy Manager - RNA ( Data Engineer ) • Essential skills Azure Databricks — pipeline development, jobs, notebooks, and optimisation • Azure Data Factory (ADF) — pipeline design, triggers, transformations • Python and SQL — data transformation, quality logic, schema management • ETL/ELT pipeline design — end-to-end ownership including ingestion, transformation, delivery • Data quality frameworks — validation rules, alerting, exception handling • Pipeline orchestration and scheduling • Azure cloud — resource management, Key Vault, Monitor • Git and version control — branching, code review practices • Desirable skills• Apache Airflow or equivalent orchestration tooling • PySpark for large-scale data transformation • Nielsen or third-party market data integration experience • Pricing, NRM, or commercial data domain familiarity • Experience with market onboarding or multi-territory data configuration