Job Title

Job Description Grant Thornton has established a Data & Analytics function under the Chief Technology Officer. This team is leading a firmu2011wide transition to a modern cloud data warehouse built on Snowflake, supporting ongoing acquisitions, global system integrations, and a largeu2011scale ERP rollout. Grant Thornton is hiring three (3) midu2011level 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 largeu2011scale data warehouse migrations, countryu2011byu2011country global integrations, and continued system onboarding tied to acquisitions. This is a handsu2011on, deliveryu2011focused 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: u2003u2022 Design, develop, and maintain ETL/ELT data pipelines, primarily into Snowflake u2003u2022 Integrate data from enterprise systems including Oracle HCM, Dynamics CRM, and ERP platforms (SAP public cloud rollout beginning later this year) u2003u2022 Support ongoing global integrations (Ireland already live; multiple additional countries in progress) u2003u2022 Perform data mapping, transformation, and validation to ensure accuracy, consistency, and usability u2003u2022 Write and optimize complex SQL queries and Pythonu2011based data transformations u2003u2022 Support modular data modeling and transformation frameworks (e.g., dbt) u2003u2022 Monitor data pipelines and resolve issues related to performance, data quality, and reliability u2003u2022 Collaborate with data engineers, analysts, and architects as part of a teamu2011based 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022 Bacheloru2019s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience) u2022 5+ years of overall experience in data engineering, including experience with: u2003u2003u25cb Data modeling u2003u2003u25cb ETL/ELT u2003u2003u25cb Data integration u2003u2003u25cb Master data management/entity management u2003u2003u25cb Data quality u2003u2003u25cb Data warehousing u2003u2003u25cb Analytics (prescriptive and predictive) u2003u2003u25cb Business intelligence u2003u2003u25cb Data science u2003u2003u25cb Data governance u2022 Strong handsu2011on experience with: u2003u2003u25cb SQL u2003u2003u25cb Python u2003u2003u25cb Snowflake -Some exposure to data analysis or analytics use cases (working with analysts, supporting reporting) u2022 DBT u2003u2022 Informatica Cloud (CIH, DIH, Data Quality, MDM) u2003u2022 Openflow u2003u2022 Java and C# u2003u2022 SAP or Oracle HCM integration experience Experience in professional services, consulting, or managed services environments