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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently…
Lead data warehouse developer at a sports betting company: builds and designs the corporate DWH on Greenplum, develops and maintains streaming pipelines (Kafka/RabbitMQ → RisingWave/Apache Flink) orchestrated with Airflow, using Python and PL/pgSQL. Hybrid, remote, or office in Moscow.
A Senior Big Data Engineer designs, develops and optimises scalable data platforms built on Lambda and Kappa architectures, tuning Spark and Flink workloads and managing memory for large-scale processing. Core stack includes Python/Java/Scala, SQL, distributed systems and cloud-native tooling, working alongside analysts and engineers on robust data pipelines.
Lead a distributed data engineering team to build and maintain high-throughput ad-tech pipelines using Python, Spark, Flink, Kafka, and GCP, while owning on-call, cost, and CI/CD for streaming and batch systems.
Build and scale backend systems and APIs for an AI-driven adtech platform, working with Python, Go, Kafka, and cloud infrastructure to process billions of daily events.
Lead a new Dublin data engineering pod, building scalable streaming/batch pipelines (Spark, Flink, Kafka) on GCP and mentoring a distributed team across Hamburg and Bangalore.
Ben je een absolute kei in het inzichtelijk maken van complexe situaties vanuit kantoor? Haal je plezier uit het optimaal voorbereiden en controleren van de opdracht? En weten jouw collega’s dat ze altijd op jou kunnen…
Middle Data Engineer builds and maintains the data infrastructure for a gaming company: developing Airflow DAGs, setting up CDC pipelines into the analytical warehouse, building SQL data marts, and Flink streaming transformations while monitoring data quality. Core stack: Python, Java, SQL, Kafka, Airflow, dbt, Flink, Trino/Presto, MongoDB, PostgreSQL, AWS.
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems…
Senior Site Reliability Engineer to design, build, and maintain reliable, scalable infrastructure for Wikimedia Enterprise’s API services, ensuring high availability and performance for large-scale data feeds powering Wikipedia’s content reuse.
A pre-sales engineer at Databricks demonstrates the Databricks Data Intelligence Platform to UK clients, builds custom solutions using PySpark/Python/Java/Scala, and advises on big data architecture, traveling 20-30% of the time.
Senior Solutions Engineer at Databricks demonstrating the Data Intelligence Platform to UK&I digital-native firms, running hands-on PoCs and proofs to solve complex data/AI challenges using Spark, cloud tools, and AI workflows.
Data Engineer on Shopee's Marketplace team who builds and operates the Traffic Mart data warehouse end to end — batch and real-time ingestion, semantic layer design, and pipeline optimization — while leading data quality and governance. Core tech includes Spark, Flink, Hadoop/HBase, and Java/Scala/Python/SQL.
Data Engineer at KWAN (a Portuguese IT staffing firm) to design, build, and maintain production data pipelines and ETL/ELT workflows across cloud (mainly AWS) and on-prem platforms, with data modeling, quality/monitoring frameworks, and IaC. Requires 5+ years of experience with SQL, Python, orchestration tools like Airflow, and AWS data services; remote role within Portugal.
Continental’s Data & Customer Solutions Competence Center develops innovative digital products that support both our customers and internal teams, and we’d love for you to be part of it! Our Digital Solutions IT…
¿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…
Build scalable backend systems and data pipelines to process large industrial datasets using Java/Scala/Python, Spark, Kafka, and cloud-native tools.
Builds and maintains ETL/ELT pipelines, real-time streaming integrations, and analytics for electronic road-tolling systems on AWS, using SQL, Python, Kafka/Flink, DeltaLake, and containerized IaC tooling, while collaborating with analysts, data scientists, and international partners.
Build and scale ML-powered recommendation systems and vector databases that personalize email, SMS, and agentic workflows for ecommerce customers using Python, Spark, and AWS.
Get to Know the Team Clickstream Intelligence Platform (Scribe) is Grab's in-house app instrumentation and insights platform that captures and analyzes user clickstream activity across all Grab apps. The platform…
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