Data Engineer (SQL)

TL;DR

Data Engineer (SQL): Maintaining and optimizing monthly ETL processes for actuarial and reinsurance data workflows with an accent on SSIS, T-SQL, and data pipeline reliability. Focus on troubleshooting data consistency issues and collaborating with business teams to translate requirements into scalable technical solutions.

Company

hirify.global is an independent global technology consulting firm providing specialized solutions across Information Systems, Telecom, Life Sciences, and Engineering for over 1000 clients worldwide.

What you will do

• Support and maintain monthly ETL processes for actuarial data workflows
• Develop and modify stored procedures, SQL scripts, and SSIS packages
• Investigate and resolve data quality and consistency issues
• Perform technical troubleshooting and root cause analysis for data-related problems
• Assist in developing and maintaining data pipelines and integration workflows
• Collaborate with stakeholders to translate business requirements into technical solutions

Requirements

• 0–3 years of experience in Data Engineering or Data Analytics
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services
• Proficiency in T-SQL, Spark, and Python
• Strong understanding of Microsoft SQL Server and Azure Blob Storage
• Communication skills in English and Thai are required

Nice to have

• Knowledge of the insurance industry, specifically Actuarial or Reinsurance domains
• Familiarity with WTW Unify or IBM DB2 (AS400) environments

Culture & Benefits

• Access to an internal Academy with over 250 training modules for continuous learning
• Commitment to internal promotion and talent nurturing
• Multicultural environment with a global team of 110+ nationalities
• Focus on work-life balance through regular team-building events and activities

Hiring process

• Brief virtual or phone introductory conversation
• Three interviews with the line manager and potential team members
• Technical assessment or case study depending on the specific role