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Choose a workplace that empowers your impact. Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to…
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
At LIGENTEC, a Swiss photonic integrated circuits (PIC) company, the Research Data Engineer builds a Python analysis library and the data pipelines feeding it — architecting ETL/ELT orchestration, multi-site test-data infrastructure, and traceability from layout to measurement using Python, SQL, Git, and orchestrators like Prefect/Airflow/Dagster, onsite in the Lausanne area.
Position Overview We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have…
¿Te gustaría participar en un proyecto de Ciberdefensa trabajando con grandes volúmenes de datos, arquitecturas modernas y tecnologías Big Data? Desde Boycor buscamos un/a Ingeniero/a de Datos para incorporarse a un…
Senior engineer on AppsFlyer's DataOS team building a high-scale data platform that processes 150B+ events per day. Day to day: designing and operating Spark/Scala batch and streaming pipelines with Kafka over a petabyte-scale data lake on AWS (S3, EMR, Delta Lake/Iceberg).
We're looking for a Senior Data Engineer to take a hands-on technical leadership role in the design and development of a new enterprise data capability. This is an opportunity to help shape a future-state data…
Senior Data Engineer at WeeFin (a fintech ESG data platform) designing, building and optimizing data pipelines with AWS Athena, dbt, Lambda/ECS and Terraform, plus internal tooling and ESG data processes. Requires around 8 years of cloud data engineering experience; role may evolve toward management.
Build security solutions for GenAI and Copilots, design scalable Big Data pipelines, and own features end-to-end at an AI agent security company using modern programming languages and cloud platforms.
Maintain and evolve Verifone’s global payment data platform, focusing on Kafka streaming, databases, cloud infrastructure, and DevOps automation to power analytics and AI initiatives.
Fixed-term Data Engineer based in Bangkok designing and maintaining scalable data pipelines, ETL processes, and data warehouses/lakes on Google Cloud Platform, primarily BigQuery.
Senior Data Engineer at Jacobs designs, builds and maintains cloud data platforms and ETL/ELT pipelines for clients in government, defence and highly regulated industries. Day to day involves AWS or Azure cloud-native services, PySpark, Python/Java microservices, SQL optimisation, data quality checks and CI/CD practices.
Data engineer at Jacobs building and maintaining cloud-based ETL/ELT data platforms on AWS or Azure for government, defence and regulated-industry clients. Day-to-day work spans PySpark, Python/Java microservices, SQL (Athena, Redshift, Synapse), data quality checks and CI/CD-driven delivery.
Data Engineer at atmira in Valencia building and maintaining data ingestion and ETL/ELT pipelines on AWS: processing data in Amazon S3, modeling tables and datamarts in Amazon Redshift, writing SQL queries and procedures, and supporting deployments, code reviews and backlog work. Stack includes Python, PySpark/Spark, Talend and Power BI.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
Lead Pine Labs' data engineering function in Noida (office-based, 5 days/week): build and scale real-time pipelines with Kafka/MSK, Debezium and Apache Pinot, run data lakes on S3 with Iceberg, Glue and Athena, and ship Java/Python data tooling on AWS (ECS/EKS, Terraform) while mentoring engineers.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines on Databricks/Spark to transform data into AI-ready datasets for analytics and supply chain solutions in a global logistics company.
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Job Summary The Principal AI Engineer is responsible for designing, building, and operating the data pipelines and data infrastructure that power AI, machine learning, and agentic applications across the Bank. The role…
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