Data Engineer Lead
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Key skills for this role
About the Role
Edenred UAE is seeking a Data Engineer Lead to architect, build, and scale the next generation of their data platform on Azure and Databricks. The role involves leading end-to-end design, building robust data pipelines, and mentoring a team.
Key Skills for This Role
Responsibilities
- Lead the end to end design, development, and scaling of a modern data platform on Azure and Databricks
- Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products
- Define and enforce best practices for data modeling, governance, quality, and security across all environments
- Partner with cross functional teams to understand business needs and translate them into scalable technical solutions
- Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence
- Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement
- Drive continuous innovation by evaluating new tools, technologies, and architectural approaches
Requirements
- 7+ years of experience in data engineering, including at least 3 years in a senior or lead role
- Proven experience designing and building a data platform from scratch in Azure and Databricks environments
- Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory
- Strong proficiency in Python, PySpark, and SQL
- Solid understanding of data modeling, Medallion Architecture, and data governance practices
- Experience leading technical teams, setting engineering standards, and mentoring others
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent practical experience
Full Job Posting
About Edenred
- Edenred is a leading digital platform for services and specific purpose payments, connecting over 60 million users and 2 million partner merchants in 45 countries.
- Edenred offers digital services for food, engagement, mobility, and corporate payments.
The UAE Context
- Edenred UAE is a fast growing payroll service provider serving more than 15,000 businesses and over 2.2 million unbanked employees.
The Role
- We're looking for a Data Engineer Lead to architect, build, and scale the next generation of our data platform from the ground up.
- This role is ideal for someone who thrives in high impact environments and wants to shape the long term data strategy of a fast growing business.
Responsibilities
- Lead the end to end design, development, and scaling of a modern data platform on Azure and Databricks.
- Build, optimize, and maintain robust data pipelines and architectures supporting analytics, reporting, and advanced data products.
- Define and enforce best practices for data modeling, governance, quality, and security across all environments.
- Partner with cross functional teams to understand business needs and translate them into scalable technical solutions.
- Mentor and guide data engineers, fostering strong engineering standards, code quality, and operational excellence.
- Oversee platform performance, reliability, and cost efficiency, proactively identifying areas for improvement.
- Drive continuous innovation by evaluating new tools, technologies, and architectural approaches.
Your Profile
- 7+ years of experience in data engineering, including at least 3 years in a senior or lead role.
- Proven experience designing and building a data platform from scratch in Azure and Databricks environments.
- Deep expertise in Azure Data Lake Storage, Databricks, Unity Catalog, Delta Lake, and Azure Data Factory (Certified Data Engineer by Azure/Certified Data Engineer Databricks is a plus).
- Strong proficiency in Python, PySpark, and SQL, with hands on experience processing large scale datasets.
- Solid understanding of data modeling, Medallion Architecture, and best in class data governance practices.
- Experience leading technical teams, setting engineering standards, and mentoring others.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field—or equivalent practical experience.
- A collaborative, proactive problem solver with strong communication skills and the ability to work effectively across diverse teams.
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