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Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
Senior Azure Data Engineer to assess, design, and potentially build a modern Microsoft-based lakehouse data platform for a pharmaceutical CDMO, starting with a 6-week discovery phase using Azure Data Factory, Microsoft Fabric, and Databricks.
The Azure Data Engineer will design and manage ETL workflows in Azure, focusing on data migration and quality. The role requires expertise in Azure Data Factory, Synapse Analytics, and Python/PySpark to support business requirements.
Data Engineer transitioning a core data platform to Azure, managing third-party data ingestion and integration using Python, SQL, Apache Spark, and Azure Databricks at a Madrid-based start-up investment management firm.
Lognext is seeking a Senior Data Engineer in Madrid to build dashboards, transform data, and connect solutions using APIs. The role focuses on data engineering and analytics using Python, PySpark, and SQL to support business decision-making.
Data Engineer working on data transformation and BI for a leading multinational insurance company, using SQL, Python, PySpark, and Power BI to manage the full data cycle and deliver analytical solutions.
The Data Engineer will design and implement a Medallion architecture within Microsoft Fabric, developing pipelines for data ingestion and transformation. The role involves modeling data for analytics and processing large-scale datasets using Spark, Python, and SQL to support business decision-making.
Keepler is seeking a Data Engineer to implement data models, orchestration flows, and governance strategies using PySpark and Palantir Foundry. This is an on-site role focused on building data pipelines and ensuring data security and quality for clients.
The Senior Data Engineer will design, build, and optimize complex data architectures and pipelines for Arcoprime. The role focuses on ensuring data security and availability using technologies like Python, Spark, Airflow, and AWS services.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
Globant is seeking a Senior Data Engineer to design and optimize data pipelines using Databricks and PySpark. The role involves collaborating with data science teams to deliver scalable data products and support AI-enabled analytics.
Senior Data Engineer at Globant building digital products and driving digital transformation for enterprise clients, primarily using Databricks and PySpark.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
Senior Data Engineer designing and optimizing large-scale batch and real-time data pipelines in the cloud using PySpark, Kafka, and AWS services within an agile data cell.
The Senior Data Engineer will design, build, and maintain robust data pipelines using Python, Snowflake, and Azure Synapse Analytics. The role involves collaborating with cross-functional teams to ensure scalable, secure, and high-quality data integration and transformation across enterprise platforms.
AWS Data Engineer designing and maintaining large-scale data lakes and warehouses, building streaming and batch pipelines with Python/Scala, SQL, and Spark/PySpark while collaborating with DevOps on CI/CD.
AWS Data Engineer designing and maintaining large-scale data architectures (Data Lakes, Data Warehouses, Lakehouses) on native AWS services, building automated ETL/ELT pipelines with Python/Scala/SQL, Spark, and AWS data tools like Glue, Redshift, and S3.
The Senior Big Data Engineer will build and maintain scalable data pipelines using PySpark, Spark, SQL, and cloud-based big data tools. This role requires working in an agile environment and collaborating with data science teams, with a mandate for 3 days of onsite work per week.
The Cloud Data Engineer will design and operate scalable data pipelines on AWS using PySpark, Python, and modern orchestration tools. The role focuses on building ETL/ELT workflows, serverless solutions, and implementing IaC practices for data lake architectures.
Hands-on role managing data platform operations and designing metadata-driven ELT/ETL frameworks (ingestion, orchestration, quality, monitoring) at NUS. Involves data lakes, data warehouses, and tools like Apache Spark, Iceberg, Trino, Python, and proprietary platforms.
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