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Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Senior Data Engineer leading data pipeline and ML data infrastructure design for Amazon's worldwide pricing algorithms, using AWS services, SQL, and Python/Java/Scala/NodeJS to process large-scale pricing data.
Senior Java Developer building next-generation risk computation platforms for TD Securities' Counterparty Credit Risk group, using Java/Spring Boot microservices, Kafka, big data streaming, and cloud infrastructure to support billions of daily risk calculations.
Senior Java Developer leading mission-critical platforms for a Risk and Information Management team, focused on Java ecosystem architecture, distributed systems/microservices, cloud/DevOps infrastructure, and mentoring engineering teams.
Develop physics-based, data-driven, and hybrid models for steel production processes at Danieli, a global steel plant builder. Day-to-day involves data management, statistical analysis, visualization, and Digital Twin initiatives using Python, SQL, and big data technologies.
Junior Data Engineer designing and developing batch and near-real-time data solutions for banking data products, using on-premise and cloud technologies with a focus on data quality and governance.
Lead Data Engineer role in Guadalajara building scalable data platforms and ETL/ELT pipelines using Python, Spark, SQL, and Databricks, combining hands-on engineering with technical leadership, mentoring, and architecture decisions.
Senior Geospatial Data Engineer designing and maintaining scalable cloud-based geospatial data pipelines and ETL processes for the Xtrack rail-industry product, using Python, big data technologies (Spark, Kafka), and cloud platforms (GCP/AWS/Azure).
Senior Big Data Engineer designing, developing, and optimizing Big Data pipelines using Apache Spark (Scala/Python), Azure Databricks, and Hive for a tech consultancy focused on Data & AI transformation.
Data Engineer at Indra Group designing, developing, and maintaining ETL/ELT pipelines for a European cyberdefense project, working with SQL, Python, orchestration tools like Airflow/NiFi/Prefect, and relational/NoSQL databases.
The Senior Backend Spark Developer will design, develop, and optimize high-performance Big Data pipelines using Apache Spark, Scala, or Python. The role involves leading technical architecture decisions and collaborating across teams to ensure scalable data integration within a client contribution platform.
Software engineer managing big data deployments and optimizing infrastructure on ByteDance's Tea platform using Java/Scala/Python, Hadoop, Spark, and Clickhouse.
Data migration engineer building ETL pipelines and mapping source-to-target data to migrate reporting datasets from legacy systems to a new platform using SQL, Hive, Impala, and Hadoop.
Data Engineer supporting enterprise data migration and reporting transformation for a bank, using SQL, Hive, Impala, and Hadoop ecosystem tools for source-to-target mapping and ETL development.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data platforms to support business intelligence and machine learning initiatives. The role requires proficiency in SQL, Python, and ETL tools to ensure data integrity and system performance.
The Lead Data Platform Engineer will lead an agile team to build and maintain data pipelines and data lakes within the Ascend Cloud Foundation platform. This role requires expertise in AWS, Apache Spark, and DevOps practices to deliver scalable data solutions.
Full-Stack Engineer building scalable Java/Spring Boot applications and data processing systems using Hadoop, automating deployments with Ansible and GitLab CI/CD while applying SRE practices in a hybrid role in Gloucester.
The Data Engineer will design and build data warehouses, ETL processes, and reporting layers while ensuring data quality. The role requires strong SQL/RDBMS skills and experience with ETL tools like Talend, Informatica, or SSIS.
The Cloud Data Platform Engineer will design, build, and optimize scalable data solutions on Microsoft Azure using services like Databricks and Azure Data Factory. The role involves automating infrastructure with IaC, managing CI/CD pipelines, and maintaining robust, fault-tolerant data architectures.
The Senior Data Engineer will design and maintain scalable data platforms and analytics solutions, focusing on security, governance, and ETL/ELT processes. The role involves working with Hadoop, Hive, and Spark on EMR while driving CI/CD practices and ensuring regulatory compliance.
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