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Design and lead Databricks Lakehouse architecture (ingestion, Delta Lake storage, processing, consumption) on a 2-year hybrid contract in Houston.
Data Engineer building and maintaining an on-premise Lakehouse data platform using Python, SQL, Delta Lake, and dbt-core in a regulated, hybrid environment in Brussels.
Lead the architecture and development of Robinhood's data infrastructure, including storage, streaming, and analytics systems, to support real-time and batch processing for millions of users.
Leads a team of data engineers to build and maintain a modern data platform using AWS, Snowflake, and Airflow, enabling self-service analytics and governance for a restaurant booking platform operating across Europe.
Owns and scales Databricks and AWS-based data/ML platforms for a fintech firm, focusing on governance, security, and DevSecOps rather than coding.
Position Overview Principal Full Stack Engineer Cloud FinOps Platform in Dubai, UAE will lead the architecture, design and enterprise delivery of a multi‑cloud FinOps platform integrating Azure, AWS and OCI…
Designs and implements scalable data platforms using Databricks Lakehouse, Delta Lake, Spark, and PySpark, modernizing ETL pipelines from Informatica to Databricks in a hybrid Azure/AWS/GCP environment.
The Chief Architect will lead a Databricks practice by designing enterprise data solutions, managing large-scale cloud migrations, and driving presales activities. This hands-on role requires deep expertise in Spark, Lakehouse architecture, and modern data engineering tools to mentor teams and deliver high-impact AI and data platforms.
The Senior Data Engineer will design and build enterprise data products using Microsoft Fabric, working across on-prem and cloud environments. The role involves collaborating with stakeholders to translate business requirements into scalable data pipelines and lakehouse solutions.
The Big Data Architect will design and build scalable data platforms and pipelines using the Databricks Data Intelligence Platform and AWS. The role requires leadership experience and involves managing end-to-end data implementations.
This role involves designing and optimizing scalable data engineering pipelines using Databricks and PySpark for a banking client. The engineer will focus on processing structured and unstructured data to support AI/ML and RAG initiatives.
This senior DataOps/Cloud Data Engineer role involves designing and optimizing data pipelines and models using Azure Data Factory, Databricks, and Medallion Architecture. The position requires working 5 days onsite in Toronto to migrate ETL processes and manage data movement between Oracle databases and Lakehouses.
This role involves building scalable, cloud-native enterprise applications using Java and Python while leveraging AI tools to enhance engineering productivity and automate workflows. The engineer will collaborate with cross-functional teams to design microservices and mentor junior staff within an AI-first development environment.
CI&T is seeking a mid-level software engineer to build scalable, cloud-native enterprise applications using Java, Python, and Azure. The role focuses on AI-first development, leveraging AI tools to improve engineering productivity and automate workflows.
The Data Engineer will design and implement real-time and batch data processing platforms, focusing on event-driven architectures and data pipelines. The role involves collaborating with DevOps teams to build scalable solutions for clients in the energy, utilities, and manufacturing sectors using technologies like Python, SQL, Kafka, and Spark.
Data Engineer building and optimizing Big Data pipelines and ETL/ELT processes using PySpark, AWS, Kafka, Spark Streaming, SQL, and table formats like Iceberg/Delta Lake.
The Junior Data Engineer will develop and maintain modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure Data Factory. The role involves integrating data from multiple sources, optimizing data transformations, and supporting SQL Server-based data warehouse environments.
The Data Engineer will build and maintain scalable data pipelines and ETL processes using Azure Databricks and SQL. This role focuses on data migration, pipeline optimization, and implementing CI/CD practices within an agency contract setting.
Senior Data Engineer (Databricks) - London (Hybrid) - Up to £85,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a fast-growing technology business that's investing heavily in its…
Designs and builds scalable data platforms and AI solutions for enterprise clients, focusing on cloud data architectures, lakehouse systems, and real-time pipelines using tools like Azure, Databricks, and Snowflake.
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