Our client is seeking a Data Engineer to join their Strategic Analytics team, which supports multiple business areas—including Marketing, Finance, and Underwriting—by delivering insights that drive informed decision-making. This role focuses on building and optimizing cloud-based data solutions, enabling advanced analytics, and supporting digital transformation initiatives.
Key Responsibilities
- Collaborate with business and technology leaders to define a data and analytics roadmap aligned with organizational goals.
- Design, implement, and maintain scalable data pipelines, warehouses, and marts to improve accessibility, quality, and efficiency of data.
- Partner with architects and engineers to deliver solutions for reporting, analytics, data science, and data governance.
- Lead and participate in data discovery sessions to translate business requirements into technical solutions.
- Evaluate and recommend emerging technologies to advance data modernization efforts.
- Foster strong relationships with stakeholders across IT, Marketing, Underwriting, and other business units.
- Provide production support, including monitoring pipelines, debugging SQL / Python, and resolving data issues.
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related discipline.5+ years of experience building SQL Server or data warehouse solutions.Strong proficiency in T-SQL and Python, with solid debugging and troubleshooting skills.Hands-on experience with cloud data platforms (Azure preferred), including :Azure Data Factory and Synapse (preferred)CI / CD pipelines with Azure DevOpsFamiliarity with reporting tools such as Power BI, Tableau, or QlikView.Experience implementing Data Lakes using tools such as Databricks, PySpark, ADLS, or Microsoft Fabric.Knowledge of core data concepts : data warehousing, MDM, big data, AI / ML, and cloud principles (certification a plus).Strong organizational, analytical, and problem-solving skills, with a focus on continuous improvement.Ability to work independently while contributing in a collaborative team environment.Insurance industry experience is a plus.Excellent communication skills, both written and verbal.Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
Information Technology and EngineeringIndustries : InsuranceWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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