Job Description

Grant Thornton has established a Data & Analytics function under the Chief Technology Officer. This team is leading a firm-wide transition to a modern cloud data warehouse built on Snowflake, supporting ongoing acquisitions, global system integrations, and a large-scale ERP rollout. Grant Thornton is hiring three (3) mid-level Data Engineers to support this transformation. The Data Engineer will design, build, and support data pipelines and integrations that move enterprise data into Snowflake and downstream analytics platforms. This role supports large-scale data warehouse migrations, country-by-country global integrations, and continued system onboarding tied to acquisitions. This is a hands-on, delivery-focused role requiring strong SQL and Python skills, experience with modern cloud data platforms, and the ability to collaborate closely with other engineers, analysts, and project teams. Key Responsibilities: - Design, develop, and maintain ETL/ELT data pipelines, primarily into Snowflake - Integrate data from enterprise systems including Oracle HCM, Dynamics CRM, and ERP platforms (SAP public cloud rollout beginning later this year) - Support ongoing global integrations (Ireland already live; multiple additional countries in progress) - Perform data mapping, transformation, and validation to ensure accuracy, consistency, and usability - Write and optimize complex SQL queries and Python-based data transformations - Support modular data modeling and transformation frameworks (e.g., dbt) - Monitor data pipelines and resolve issues related to performance, data quality, and reliability - Collaborate with data engineers, analysts, and architects as part of a team-based delivery model Contribute to data quality practices and documentation across the data platform We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements - Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience) - 5+ years of overall experience in data engineering, including experience with: ? Data modeling ? ETL/ELT ? Data integration ? Master data management/entity management ? Data quality ? Data warehousing ? Analytics (prescriptive and predictive) ? Business intelligence ? Data science ? Data governance - Strong hands-on experience with: ? SQL ? Python ? Snowflake -Some exposure to data analysis or analytics use cases (working with analysts, supporting reporting) - DBT - Informatica Cloud (CIH, DIH, Data Quality, MDM) - Openflow - Java and C# - SAP or Oracle HCM integration experience Experience in professional services, consulting, or managed services environments