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Data Engineer role at a UK energy-sector company, responsible for designing scalable data pipelines, building ETL/ELT processes, and developing data models using SQL, Python, and open-source frameworks like Spark, Kafka, Airflow, or Dagster.
Onsite Data Engineer role in Basildon, UK, focused on designing and implementing ETL/ELT pipelines, data modelling, and data integration solutions using Snowflake and DBT within the Data Solutions domain.
We’re seeking a skilled Data Engineer (contractor) to help our client build and scale their data infrastructure using Databricks. Responsibilities Design, build and maintain scalable, high-performance data pipelines…
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
Data Engineer at Nedbank building and maintaining data pipelines, data warehouses, and data infrastructure using Azure cloud services, SQL, Python, and big data technologies like Hadoop and Kafka.
Senior ServiceNow Developer in Bucharest designs, builds, and maintains ServiceNow ITSM processes, CMDB integrations, and automation while ensuring data quality and governance for a global payments technology company.
Designs and builds scalable data platforms and pipelines in cloud and on-premise environments, using SQL, Python, Spark, and GCP tools to enable data-driven decisions.
Designs and builds cloud-based data pipelines and warehouses in GCP, using Python, Spark, and SQL to enable analytics and data-driven decisions.
Senior Data Engineer designs, builds, and maintains scalable data pipelines and solutions using PySpark, Hadoop, and GCP in a collaborative Agile environment.
Position Snapshot Location: Petaling Jaya, Malaysia Company: Nestlé Malaysia & Singapore Full-time Bachelor's Degree 5+ years of experience Position Summary Joining Nestlé means you are joining the largest Food…
Senior backend engineer building and maintaining a cloud-native data processing platform in Scala, AWS, and GCP, with a focus on scalable, resilient services for data ingestion, transformation, and analytics.
Senior backend engineer building and scaling cloud-native data processing services in Scala on AWS and GCP, with a focus on distributed systems and data pipelines.
Senior backend engineer builds and maintains a cloud-native data processing platform in Scala, integrating AWS/GCP services for large-scale data ingestion, transformation, and analytics.
Builds and maintains Java/Spring Boot microservices and data pipelines for a cloud-based risk data platform handling real-time and batch market data processing.
Build and operate large-scale streaming data pipelines for vehicle telemetry and sensor data using Spark, Kafka, and Flink to power AI-driven analytics and software-defined vehicles.
Leads enterprise-wide data and AI platforms strategy, scaling teams of 20–25 engineers to build scalable, secure, and high-value platforms for analytics, automation, and AI applications, partnering with executives to align technology with business goals.
The Lead Data Engineer will design and maintain GCP-native data pipelines and manage the migration of data connectors for a large-scale manufacturing modernization project. The role focuses on ETL processes, data governance, and collaborating with cross-functional teams to ensure scalable and reliable data integration.
The Data Integration Engineer will design, build, and test custom data connectors and integration solutions using Google Cloud Platform services like Dataflow and Cloud Run. This role supports a large-scale manufacturing modernization project for a U.S. Navy production environment.
This role involves building and scaling a strategic data platform using Python and AWS serverless technologies to support enterprise data integration and pipelines. The engineer will design backend services and data processing frameworks while collaborating with cross-functional teams to deliver trusted data products.
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