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Data Engineering Lead
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
Data Engineering Manager
The Data Engineering Manager leads a team of engineers to design and deliver scalable data platforms and pipelines. The role involves technical leadership, stakeholder management, and the implementation of modern data practices using cloud technologies, SQL, and Python.
Cloud Data Engineer: Real-Time Pipelines & Edge AI
Senior Data Engineer designing and maintaining batch and real-time data pipelines across on-prem, edge, and cloud environments using Kafka, Spark, Hive, MongoDB/CassandraDB, and OpenShift.
Senior Specialist: Cloud Data Engineer
Senior Cloud Data Engineer at Vodacom designing, developing, and maintaining scalable batch and real-time data pipelines (Spark, Kafka, Flink, NiFi) across on-premises and cloud (AWS/GCP) environments with OpenShift-based microservices.
Senior Data Engineer – Cloudera CDP & Big Data Pipelines
Design, develop, and optimize enterprise-scale data solutions on Cloudera CDP and Hadoop, building ETL pipelines with Spark, PySpark, NiFi, Sqoop, SQL, Python, and shell scripting in a Linux environment.
Senior Data Engineer – Big Data & Cloudera
Build and maintain large-scale data pipelines using Cloudera, Hadoop, Spark, and SQL to process and analyze enterprise datasets for smarter business decisions.
Senior Data Engineer — Big Data & Cloud Pipelines
The Senior Data Engineer will design and maintain scalable data pipelines and infrastructure to support analytics, utilizing AWS, Hadoop, and EMR. The role involves managing batch and real-time data flows from on-premise systems to the cloud within an agile environment.
Data Engineer
The Data Engineer will design and maintain scalable, secure data pipelines and analytical solutions using AWS and big data technologies. The role involves integrating diverse data sources, performing ETL, and collaborating with agile teams to deliver high-performing data infrastructure.
Data & Analytics Engineer for Trading Quants (Hybrid)
Nordea Bank is hiring a Data & Analytics Engineer to build and maintain data platforms and tools for their trading quant team in Copenhagen. The role involves collaborating with quants to support data-driven decision-making and AI initiatives using Python and SQL.
Senior Data Engineer – Build Scalable Data Platform & AI
The Senior Data Engineer will build and maintain a scalable data platform in Copenhagen, collaborating with BI and AI teams. The role focuses on developing data pipelines, ensuring data quality, and applying DevOps principles using technologies like Azure Data Factory, SQL, and Python.
AI-Driven Data Platform Engineer
The Software Engineer will design and scale AI-powered data solutions, APIs, and pipelines to support enterprise analytics and decision-making within the logistics sector.
Software Engineer
Builds AI-driven data platforms and agentic AI applications for Maersk’s global logistics operations, focusing on scalable backend services, data pipelines, and enterprise-wide analytics solutions.
Oracle Developer
The Oracle Developer will work on backend systems and technology for lottery and sports betting platforms at Scientific Games.
Data Engineer – DBT, Snowflake & Power BI
Onyx-Conseil is seeking a Data Engineer to develop data pipelines, perform data modeling, and manage governance for a health and safety analytics project. The role involves industrializing performance indicators using DBT, Snowflake, and Power BI within a dedicated squad.
Data Engineer DBT/SQL – Cloud BigQuery Pipelines
Designs and maintains a modern cloud-based data platform for a retail giant, building scalable ETL/ELT pipelines and supporting data models in collaboration with data science teams.