Team Lead Data Engineer; Hybrid Onsite

Job Description

A SaaS company which has been in business for over 25 years is looking for a Lead Data Engineer to add to their team. You will play a key role in designing, implementing, and maintaining data infrastructure and processes critical to our business operations. You will be leading a team responsible for creating efficient ETL (Extract, Transform, Load) processes in Azure Data Factory, managing and collaborating with both IT and Business stakeholders to fulfill new data requests and ensure data quality and integrity.

If you are passionate about leading, mentoring and training + data engineering, enjoy and eager to take on new challenges, we encourage you to apply!

• Please note, this is an hybrid (3 days WFH) role; remote candidates cannot be considered at this time.*

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of proven experience designing and building large scale data solutions + some leadership experience
• Experience building ETL solutions using Azure Databricks, Azure Data Factory or some similar tools.
• Hands‑on experience coding in Python and Py Spark
• Excellent problem‑solving skills and attention to detail managing multiple priorities in a fast-paced environment.