About the Role
Join the team as a Data Engineering Tech Lead, driving the design and delivery of scalable, cloud-based data platforms on Azure or AWS. You’ll lead by example — architecting modern ELT pipelines, optimizing data models, and guiding a high-performing engineering team.
Key Responsibilities
* Lead the architecture and development of end-to-end data pipelines and platforms.
* Build and optimize ELT processes, data integration, and data modeling frameworks.
* Establish best practices for data quality, automation, and governance.
* Mentor engineers, perform code reviews, and drive continuous improvement.
* Collaborate with stakeholders to align solutions with business goals.
* Implement DevOps / CI-CD pipelines using GitHub Actions and Azure DevOps.
Core Skills
* Cloud Expertise: Azure, AWS, SAP
* Data Engineering: ELT/ETL, Data Modeling, Data Warehousing
* Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics,
* AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest
Preferred Experience
* Leading agile or scrum-based technical teams.
* Working with financial or planning data.
* Using documentation tools (e.g., MKDocs).
Why You’ll Succeed
* You’re a hands-on technical leader with deep cloud and data engineering expertise.
* You enjoy mentoring engineers and improving engineering standards.
* You thrive on solving complex data challenges with scalable solutions.