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Data Engineer designing and building modern data platforms on Azure, Databricks, and Fabric for client consulting engagements at a digital transformation firm.
The Staff Data Engineer will lead the Caspian Data Platform, overseeing data ingestion, transformation, and governance within a lakehouse architecture. The role involves setting standards for AI-enabled pipelines and mentoring senior engineers in a hybrid London-based environment.
The Staff Software Engineer will lead the technical direction of the Caspian Data Platform, focusing on ingestion, transformation, and governance using Databricks. The role involves building reference implementations, setting engineering standards, and mentoring senior team members.
Design and maintain a centralized data lakehouse (Databricks) for analytics and business operations, defining architecture for data flow, quality, and governance while mentoring engineers.
GlobalLogic is seeking a Data Engineer to migrate a legacy Teradata ecosystem to an AWS lakehouse architecture using Databricks, dbt, and Airflow. The role involves converting BTEQ scripts to dbt models and implementing data lineage solutions.
The Junior Data Engineer will support the Data & Insight team at Keepmoat by developing and maintaining data pipelines, performing data transformations, and ensuring data quality. The role focuses on Microsoft cloud technologies, including Azure and Microsoft Fabric, to enable data-driven decision-making across the business.
ESPRIMO Srl, società di consulenza informatica che opera dal 2002 su tutto il territorio nazionale ed internazionale, a supporto delle imprese, si colloca nel settore dell’Information Technology proponendosi come…
The Data Platform Engineer will manage and develop the company's central Kubernetes, Lakehouse, and event platforms using technologies like Apache Spark, Kafka, and Terraform. The role focuses on automating infrastructure and supporting internal users within a large insurance group.
A Data Governance & Quality Engineer specializing in Informatica Cloud Data Quality (CDQ), Cloud Data Governance & Catalog (CDGC), and Informatica Data Quality (IDQ), integrating governance with privacy tooling and using CLAIRE to accelerate rule definition and metadata classification.
Leads data engineering, architecture, analytics, and governance for Barwon Water’s digital transformation, designing scalable, secure data platforms and AI-ready foundations while mentoring teams.
The Senior Data Engineer will design scalable data pipelines and lakehouse architectures using Microsoft Fabric and Azure Data Factory to support generative AI and agent-based data products.
This contract role involves building enterprise data pipelines and Lakehouse architectures for a government organization focused on climate and environmental resources. The position requires expertise in Databricks, PySpark, and Azure cloud services.
The Senior Database & Analytics Engineer will build and govern data foundations within an AI and analytics team, focusing on data modeling, ETL/ELT, and establishing engineering standards. The role involves working with cloud data platforms like Azure and Microsoft Fabric to transform raw data into analytics-ready assets.
The Data Tech Lead will architect and lead the development of an Enterprise Client Data Hub for a global investment bank, focusing on data governance and modern engineering patterns. The role involves hands-on technical leadership and collaboration with business stakeholders to manage counterparty and client data.
This role involves designing and maintaining scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The engineer will build data models, implement quality controls, and ensure data governance for enterprise-level solutions.
The Lead Data Engineer will design, build, and maintain enterprise-scale data platforms on Microsoft Azure to support advanced analytics. The role involves optimizing ETL/ELT processes, ensuring platform reliability, and collaborating with cross-functional teams using technologies like Azure Data Factory, Databricks, and Synapse Analytics.
Data Engineers on 12-month contracts designing enterprise-scale ELT/ETL pipelines and Lakehouse architectures using Databricks, PySpark, and Azure for a government environment and climate-focused organisation.
Design and build end-to-end analytics solutions using Microsoft Fabric in Azure, including Lakehouse architectures and secure data pipelines for government reporting.
This role involves migrating Hadoop-based data workloads to AWS and Snowflake within a banking environment. The engineer will build and maintain scalable data pipelines, implement security controls, and optimize cloud data performance.
This Senior Data Engineer role involves leading a migration from AWS to Databricks while maintaining existing AWS workflows. The position requires hands-on expertise in Python, SQL, and cloud-native engineering to design and implement scalable data solutions.
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