Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Разрабатываешь и поддерживаешь BI-решения и потоковые интеграции для ритейла на стеке Trino, Iceberg, Spark, Kafka, ClickHouse и Qlik Sense, обеспечивая аналитику и отчетность для бизнес-заказчиков.
W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność współtworzymy wyjątkowe rozwiązania IT i zapewniamy…
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
Build and own scalable ETL pipelines and data warehouses for a hospitality workforce-management SaaS, using AWS Glue, Airflow, Spark, and modern lakehouse formats.
Visie & strategie: Je bent eigenaar van de marketingstrategie en campagnekalender voor Nederland. Op basis van marktanalyses, klantinzichten en lokale trends ontwikkel je campagnes die relevant zijn voor de…
Vision & Strategy: Own the marketing campaign calendar for the Netherlands, using market analysis, consumer insights, and trends to build high-impact strategies. Act as the ultimate local guardian of our brand,…
Engineering Manager- Data & Analytics Location: Bengaluru, Karnataka, India Department: Weekday's Client via platform Workplace: on_site Employment Type: full Description This role is for one of the…
Design and build AI-ready data pipelines and cloud architectures using Spark, Kafka, and Python/Scala for a tech consultancy driving GenAI innovation.
Build and maintain cloud-based data pipelines and platforms for clients using Snowflake, Databricks, and cloud-native tools, while collaborating with data scientists to industrialize their models.
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Design and build scalable, AI-ready data pipelines using Spark, Kafka, and cloud platforms (AWS/GCP) to power GenAI models and analytics for enterprise clients.
Senior Data Engineer builds and owns Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180 countries.
Designs and builds scalable data pipelines, warehouses, and ETL/ELT workflows using Python, Java, Spark, and SQL to ensure clean, high-quality data for analytics and products.
Build and deploy scalable data pipelines, cloud infrastructure, and full-stack apps that expose AI models and processed data for enterprise clients.
Build and maintain a distributed, real-time data pipeline using Kafka, Spark, and Flink to process massive data streams for intelligence production and operational support.
Design and review real-time data pipelines for AI training, implementing streaming patterns and validating event-time semantics across Kafka, Flink, and ksqlDB ecosystems.
Senior data engineer leading a team to design, build, and maintain secure data pipelines and storage systems for a French military air base, enabling analytics and AI use.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Builds and maintains the ML infrastructure that powers real-time and batch data pipelines for Voodoo’s AI products using Python, Flink, and Spark.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
