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VMWay cerca un Data Engineer/BI & ETL Developer con almeno 3 anni di esperienza per potenziare la piattaforma dati aziendale. La risorsa contribuirà allo sviluppo di soluzioni ELT, data modeling e gestione delle…
About Us At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop…
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Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
Overview Moonshot is seeking a Chief Financial Officer to serve as the financial and strategic leader of a high-growth electrical distribution and critical power infrastructure company. This is not a back-office…
Who We Are HIKE2 is an advisory and innovation partner helping organizations design and build what’s next. We work with complex and regulated industries, including law firms, financial services, insurance, professional…
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on…
The Data Engineer will design and maintain scalable ETL/ELT pipelines to integrate data from various enterprise systems into a centralized platform. The role focuses on creating high-quality, reliable datasets using SQL, Python/R, and cloud technologies to support business intelligence and analytics.
Build and maintain Sovrn’s data pipelines and warehouse to ensure reliable, high-performance analytics for Open Web businesses using Python, Spark, Databricks, Kafka, and AWS.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using tools like Dagster, ClickHouse, dbt, and Apache Iceberg to ensure reliable, high-quality data for analytics and AI-driven insights.
Design and build scalable cloud-native data solutions, ETL/ELT pipelines, and governed data platforms using SQL, AWS services, Python/PySpark, and CI/CD practices.
Modernize a legacy SQL Server platform into AWS-native data capabilities—designing, building, and optimizing cloud data solutions and migrating databases, ETL, reporting, and analytics workloads using SQL and AWS services.
Design and lead enterprise data and AI platforms on Azure and Databricks, building scalable data pipelines, implementing CI/CD, and mentoring teams to support analytics and ML initiatives.
The Senior Data Engineer will lead the migration of a legacy SQL Server platform to AWS-native services, designing and building scalable data solutions using AWS Glue, Redshift, and QuickSight. The role involves managing ETL workflows, data governance, and CI/CD processes within an Agile enterprise environment.
The Azure Data Engineer will design and optimize scalable data pipelines using Databricks, Azure Data Factory, and Synapse. The role involves managing Spark workloads and collaborating with analytics teams to ensure efficient data governance.
The Senior AWS Data Platform Engineer will design and implement scalable, cloud-native data pipelines using AWS services, Kafka, and Apache Flink. This role involves providing technical leadership to build robust batch and real-time data processing solutions.
Senior Data Engineer at a tech consultancy building cloud-native data platforms and AI-powered data products using Snowflake, Databricks, AWS, and Azure, working directly with enterprise clients in Australia.
Hands-on Data Engineer building automated SQL pipelines and data warehouse foundations to support operational reporting. Core technologies include T-SQL, PostgreSQL, and ETL/ELT tooling.
Linkforce Engineering is hiring a Data Engineer to build and maintain data pipelines and warehouse foundations using SQL Server and PostgreSQL. The role focuses on improving data platform performance and ensuring data quality through hands-on development.
The Data Engineer will build and support scalable cloud-native data solutions using AWS services, SQL, and Python/PySpark. The role focuses on ETL/ELT pipeline development, data modeling, and database performance tuning.
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