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Data Engineering Lead: AI & Analytics Platforms
Lead the design and implementation of scalable data platforms and AI workflows, building pipelines and APIs for analytics and governance in a fast-growing product team.
Senior Data Engineer & Cloud Migration Lead (Remote)
Lead a data engineering team to migrate from Snowflake on AWS to Azure Databricks and DBT, architect secure pipelines, and implement Terraform infrastructure-as-code with CI/CD workflows.
Data Engineering Lead job in Dubai, United Arab Emirates
Leads a team to design, build, and deploy Azure-based data pipelines and analytics solutions using Databricks, PySpark, and SQL, ensuring scalability and governance.
Data Engineering Tech Lead
Lead a team to design and build scalable Azure-based data pipelines using Synapse, Fabric, and PySpark, while mentoring engineers and driving best practices in cloud data engineering.
Technical Lead - Data Engineering
Lead the design and build of a modern Azure-based data platform, owning scalable pipelines, governance, and mentoring engineers to power enterprise analytics and ML.
Data Engineering Lead: Build Scalable, Secure Data Pipelines
Lead a team to design and build scalable, secure data pipelines using Databricks and GCP for a fintech company.
BI Analytics Lead - Power BI & Data Engineering
Lead enterprise BI and data engineering efforts, designing Power BI dashboards and governing analytics across business functions while mentoring BI teams.
Data Engineering and Architecture Lead (AWS & Databricks) - Johannesburg - up to R2+ mil CTC
Lead the design and build of enterprise-scale data platforms on AWS and Databricks, mentoring engineers and owning ETL pipelines, data models, and BI integrations for analytics and AI initiatives.
Senior Data Engineer – Global Analytics & FP&A Lead
Oversee financial frameworks like budgeting and forecasting, manage accounting practices, and analyze business performance for a fintech company.
Remote Data Engineering Tech Lead — Pipelines & Impact
Lead a team to design and build production-grade data pipelines using Python and Airflow, ensuring reliability and alignment with business goals.
Data Engineer
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Databricks Data Engineer | Lead Data Pipelines & SME
Lead data pipelines and ensure high data quality using Databricks, Python, ETL tools, and cloud platforms while collaborating with teams on architectural decisions.
Data Engineering Lead: Architect & Scalable Pipelines
Lead a data engineering team to design and scale modern data pipelines for a growing fintech company, ensuring data quality and alignment across stakeholders.
Senior Data Engineer, Azure Data Pipelines Lead
Design and build Azure-based data pipelines to ingest and load financial data, enabling analytics and insights for a Mexico-focused fintech company.
Data Engineer - Lead
Lead a team building data pipelines and real-time analytics for e-commerce/travel clients using Kafka, Spark, and cloud platforms.
Lead Data Engineer, Governance & API Integrations
Leads data collection and governance projects, designing complex data solutions and ensuring data integrity for HP’s systems in Tlaquepaque.
Senior Lead Data Engineer: Informatica & Power BI Ops
Leads data engineering for ETL and reporting platforms, owning Informatica PowerCenter pipelines and Power BI dashboards to ensure enterprise data integration and analytics run smoothly.
Mexico City Lead, Analytics & Data Engineering
Lead a data engineering team to build and maintain pipelines for audience analytics and BI, ensuring clean, scalable data for insights and reporting.
Lead Digital Data Engineer for AI & Operations
Lead the design of data architectures and pipelines for a digitally enabled manufacturing site, enabling real-time decision-making across production, quality, and supply chain.
Data BAU Lead – Data Engineering
Lead a data engineering team to maintain cloud data pipelines, warehouses, and lakes, migrating legacy systems to Snowflake and AWS while ensuring stability and performance.