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Senior Data Engineer leading complex data solutions from design to deployment, building high-performance pipelines with SQL, Python, PySpark, Databricks, and AWS while mentoring teammates and engaging with clients.
Lead Data Engineer designing and delivering scalable data architectures, pipelines, and models using Azure Databricks, dbt, and SQL while mentoring engineers and enforcing CI/CD and data quality best practices.
Lead Data Engineer at Novare in the Philippines designing scalable data architectures with Azure Databricks, dbt, and SQL, leading ELT/ETL workflows, and mentoring a team of engineers.
Designs and maintains data pipelines, ETL processes, and data quality solutions for client systems, collaborating with teams to optimize data workflows.
Lead a Paris-based data engineering squad, overseeing pipeline development and coordinating with IT and Data product teams using Python, PySpark, and SQL.
Lead the construction and maintenance of LLM training data pipelines, handling cleaning, deduplication, and format conversion for ReAct and Function Calling workflows.
Senior data/analytics engineer designing and building agentic data workflows, models, and pipelines for an enterprise platform, collaborating with engineering and product teams to embed data capabilities.
Data Engineering Lead at a tech outsourcing company in Dublin, responsible for designing and deploying scalable data systems for analytics and AI, driving large-scale data pipelines, mentoring engineers, and promoting best practices in cloud platforms and ETL/ELT workflows.
Leads design, development, and optimization of scalable data pipelines and frameworks for analytics/ML, integrating diverse data sources into unified platforms while mentoring engineers and ensuring system reliability and performance.
Lead data engineering using MS Fabric and Azure to own end-to-end data platforms, architecture, and governance, while guiding cross-functional teams in analytics, BI, and automation initiatives.
Leads end-to-end data platform strategy, governance, and optimization for an enterprise, focusing on Microsoft Fabric, Azure Synapse, and related tools to modernize data infrastructure, ensure scalability, and deliver actionable insights for business stakeholders.
Senior Data Engineer leading the design and build of modern data platforms using Databricks or Snowflake with dbt, implementing scalable data pipelines and mentoring engineers in Melbourne.
Data Engineering Lead overseeing Microsoft Fabric, Azure Synapse, and enterprise data platforms—driving data modernization, ETL governance, BI strategy, service delivery, and team leadership on-site in Queensland.
Leads end-to-end data platform strategy, governance, and delivery for an IT solutions provider, overseeing Azure Synapse, Microsoft Fabric, Informatica, and BI tools to modernize data infrastructure and drive business insights.
Designs and leads a healthcare analytics data platform, blending architecture, pipeline ownership, and hands-on coding in AWS/Databricks with a small team.
Lead a data engineering team in Monterrey to design and optimize scalable AWS-based data platforms, focusing on data ingestion, transformation, quality, and governance using Python and API development.
Senior Data Engineer building reliable data systems for collection, cleaning, storage, and delivery to dashboards/reports; leads others in implementing target architecture into production, using Snowflake, Boomi, and Talend.
Lead Data Engineer designing and implementing complex data engineering solutions for enterprise clients, focusing on data warehouses, data lakes, and advanced ETL/ELT patterns across cloud data platforms.
Role Overview We have an exciting opportunity for a Lead Data Engineer to join our growing Data & AI function within FSP. The successful applicant will work alongside our architects and consultants to deliver…
The Data Engineering Lead will act as a technical authority for client engagements, balancing hands-on data pipeline development with commercial leadership and practice building. The role requires deep expertise in modern data stacks, AI engineering, and the ability to guide clients through complex data architecture and strategy.
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