Lead Data Engineer

Role overview

Your role

• Own data platform architecture, including warehouse and lake layers, raw/cleansed/curated medallion structure, and enterprise data model for reporting and analytics.
• Define and enforce data engineering standards, design patterns, code quality, and team best practices.
• Lead enterprise modelling, cataloguing, and governance, including standards for quality, lineage, security, and ownership using tools such as Microsoft Purview.
• Design, build, and optimize pipelines and ETL/ELT integrating ERP, operational systems, files, and APIs.
• Guide platform technical direction and evaluate and select tools based on cost, capability, and fit.
• Build and maintain BI reports and dashboards with Power BI or similar and oversee wider BI and reporting.
• Deliver trusted, governed, analytics-ready data; translate business needs into solutions and advise stakeholders.
• Monitor technical debt and platform health and ensure issues are managed over time.
• Provide technical leadership, code and design review, and mentoring; help build team capability.
• Align the data roadmap with organizational goals and enable teams to use trusted, governed data.

Skills and competencies

• Strong hands-on experience with Python and PySpark for data engineering.
• Extensive SQL and relational database experience, such as SQL Server, Oracle, or PostgreSQL; experience with NoSQL stores such as MongoDB or Cosmos DB.
• Deep expertise designing ETL/ELT pipelines and integrating sources and APIs using batch and API-based methods.
• Experience with large-scale distributed data processing and workflow orchestration/transformation tools such as Airflow or similar.
• Deep data modelling and architecture expertise, including dimensional modelling, enterprise data models, data marts, and medallion architecture.
• Strong experience with at least one major cloud data platform, such as AWS or Azure.
• Strong knowledge of data quality, cataloguing, and governance; tools such as Microsoft Purview.
• Hands-on experience building data warehouse and BI solutions, including Power BI or similar.
• Ability to set standards, lead architecture decisions, review work, manage stakeholders, communicate across teams, and manage competing priorities.
• Experience with Databricks or Microsoft Fabric, maturing a data platform or function, and ERP, project, or construction data is sought.
• Certifications in data engineering, data architecture, analytics, or a major cloud platform are an advantage.

Qualifications and experience

• Degree in an appropriate discipline or equivalent demonstrated experience.
• At least 5 years’ experience.

What ALEC offers

• Opportunity to contribute to major UAE projects.
• Collaborative and supportive environment valuing innovation and excellence.
• Opportunities for professional growth and career progression.

About ALEC