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Build and maintain data models and pipelines using SQL, dbt, Snowflake, and Airflow to support marketing analytics for a grocery platform. Ensure data quality to inform marketing spend and attribution strategies.
LotusWorks is an Engineering Services provider specializing in managing Commissioning, Construction Services, Calibration, Operations & Maintenance scopes of work within global manufacturing facilities. LotusWorks…
Build modern data platforms and pipelines using SQL, Python, and cloud technologies (AWS, Azure, GCP). Work as a consultant on complex data engineering and analytics projects for clients in Oslo.
Location: Lisbon,None,None Overview: Our ambition relies strongly on the design ang evolution of IT capabilities providing robust, industrial, scalable and off-the-shelve services allowing to deliver Business AI…
Build and operate real-time data processing pipelines and event-driven systems for network monitoring, using Java, Python, Apache Flink, Kafka, and Dagster on Kubernetes in NYC.
Managing Consultant, Databricks Engineer/Architect - Minneapolis Thought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology…
Build and own data collection and enrichment pipelines using Python and SQL/Postgres, leveraging LLMs for extraction and classification to maintain clean, verifiable intelligence databases.
Design and maintain scalable data pipelines and DBT models using Databricks and PySpark. Orchestrate workflows with Airflow to support analytics and machine learning initiatives.
Design and maintain ETL/ELT pipelines and Lakehouse architectures using SQL and Python, while integrating GenAI, RAG, and LangChain frameworks into data workflows.
Lead data engineer designing and operating production pipelines on AWS/Databricks using Python/Java, Spark, dbt, and Airflow, focusing on governance, security, and large-scale data processing.
Hands-on Data Engineer designing scalable data pipelines and platforms using Python, SQL, PySpark, and Databricks. The role involves ETL/ELT, cloud integration (AWS/Azure/GCP), and implementing Lakehouse architectures for data processing.
Build and ship ML-powered recommendation systems for 200M+ users, owning end-to-end pipelines from data to real-time serving using BigQuery, Airflow, BigTable, and LLMs.
About NDBS NDBS has been entrusted with the design and installation of mechanical systems across the country for more than 500 projects. With a focus on energy efficiency, we develop the best possible solutions for…
Together We Build – Partnership, Innovation, Excellence, and Safety At Kelso Industries, 4,000+ employees across 40+ companies work together to deliver exceptional HVAC, mechanical, plumbing, refrigeration, and…
abra is seeking for a Senior ML Platform Engineer . We're looking for a hands-on Senior ML Platform Engineer (MLOps) to build and maintain the infrastructure that powers secure, production-grade AI in an air-gapped…
Seeking a Data Engineer to design and develop robust ETL pipelines on Google Cloud Platform, utilizing Big Data technologies like PySpark and Hadoop for enterprise clients.
Purpose. Performance. People. Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for…
Senior Data Engineer at Asana builds and scales data pipelines and self-service analytics tools to power product strategy and reporting, using technologies like Databricks, AWS/S3, Spark, and Airflow.
Build and scale data pipelines and self-serve tools in Databricks and cloud platforms to deliver high-quality data for marketing and analytics teams.
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