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The Data Engineer will work on data governance implementation projects, utilizing AI technologies like LLMs, Copilot, and Gemini, as well as DAMA methodology and data quality standards. The role is based in Madrid in a hybrid model within an international consulting firm.
The Data Engineering Lead will design, develop, and maintain robust data pipelines and infrastructure. The role focuses on data governance, automated testing, and scalability using Snowflake, Databricks, and Spark.
The Data Engineer Supervisor designs and maintains robust data pipelines and infrastructure to ensure data integrity and scalability. The role requires expertise in data lakehouse technologies like Snowflake, Databricks, and Apache Spark.
Hong Kong Genome Institute is seeking an Analyst Programmer (Data Management) to support a new data warehouse for genomic data. You will help design, develop, and maintain scalable data storage and processing pipelines…
Wati is seeking a Data Backend Engineer to build and maintain scalable data pipelines and storage solutions for their WhatsApp-first conversational platform. The role involves collaborating with product teams to ensure data quality and performance using technologies like Python, Java, Go, SQL, NoSQL, and cloud-based data infrastructure.
The Senior Data Engineer will troubleshoot and enhance BI and data warehouse workflows while designing scalable ETL processes. The role involves collaborating with cross-functional teams to ensure high data quality and effective data modeling.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based platforms on GCP to support retail business intelligence and analytics.
The Data Engineer will develop and maintain scalable data pipelines and data warehouse solutions to support business analytics and data quality. The role involves working with technologies like Python, SQL, Kafka, Spark, and various cloud-based data warehouse platforms.
Senior data warehouse/BI engineer leading end-to-end development of regulatory report applications, focused on data modeling, ETL/ELT pipelines, and data processing workflows within a major banking environment.
Data Engineer responsible for end-to-end incident management, daily monitoring of data pipelines and ETL/ELT processes, and participating in data migration projects using SQL, cloud data technologies, and enterprise data platforms.
Data Engineer building and optimizing ETL pipelines, data models, and BI workflows using SQL, Power BI, and SSAS for a large technology and telecoms organization in Hong Kong.
Develop and maintain real-time, scalable data pipelines using SQL and big data tools, ensuring data quality across data lakes and warehouses for business analytics.
Data Engineer designing and maintaining data analytics and data warehouse platforms for insurance applications, using Databricks, Spark, PySpark, and Azure SQL.
Build and maintain ETL/data pipelines, migrate legacy systems to a cloud-enabled data ecosystem, and support data quality and analytics for a finance & banking client using SQL and cloud platforms.
As a Risk Data Engineer, you drive innovation with Big Data and Analytics Platforms by applying analytical techniques, building data pipelines, and enhancing risk frameworks. Core technologies include Python, SQL, data modeling, ETL, and data warehousing.
Full Stack Engineer building SOTA video generation foundation models, developing microservices, AI training data platforms, big data infrastructure, and React/TypeScript frontends.
Design, build, and maintain the full analytics delivery stack—from data transformation and modeling to Power BI dashboards—using dbt, SQL, and Databricks for a Philippine universal bank.
The Data Engineer will build and maintain data pipelines and complex data structures to support predictive modeling and analytics. The role utilizes technologies including SQL, Python, Spark, Snowflake, and Azure Data Factory.
The Data Engineer/Analyst will design and deliver enterprise data solutions, including building data pipelines, creating visualizations, and managing migrations to cloud architectures. The role focuses on automation, data integrity, and supporting business intelligence needs using tools like Tableau, Alteryx, and SSIS.
Design and implement data warehousing solutions using Snowflake and DBT, developing ETL processes with Informatica and DataStage, and scheduling jobs via Control-M in a hybrid setup.
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