Contribute to the design and implementation of Sales and Trade data architectures.
Build, enhance, and maintain SAP and Palantir data models.
Develop and support data pipelines and integrations across various systems.
Partner closely with Data Architects and Senior Data Engineers.
Implement and follow data quality, validation, and monitoring practices.
Collaborate with business stakeholders, analysts, data scientists, and IT teammates.
Own the performance and reliability of data workflows.
Contribute to solution discussions and design reviews.

Bachelor’s degree in Computer Science, Engineering, Data Architecture, or a related field, or equivalent practical experience.
Five to seven years of experience supporting data engineering, analytics, or systems solutions, preferably within Sales, Trade, or commercial domains.
Strong customer facing experience translating technical concepts into business language and vice versa.
Strong hands on experience with SQL and working knowledge of Python or PySpark for data transformation and analysis.
Experience building or supporting data pipelines and integrations using tools such as Databricks, Informatica IICS, Mulesoft, Power BI, and APIs.
Experience of data modeling, ETL processes, and analytics enablement.
Ability to operate effectively in a collaborative, matrixed environment.
Preferred experience in Consumer Packaged Goods and familiarity with Circana data.
Preferred exposure to agile delivery methods and tools such as JIRA or Confluence.

IT Data Engineer – Sales & Trade

Key skills