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RTÉ is seeking a Senior Data Engineer to lead the development of cloud-based data pipelines and lakehouse architectures for enterprise analytics. The role involves mentoring team members and establishing standards for data governance, quality, and security.
Design and build Microsoft Fabric lakehouses, warehouses, and Power BI datasets for enterprise analytics, using Python, SQL, and medallion architecture.
Design and lead enterprise data architectures using Microsoft Fabric, Power BI, and Azure, modernizing legacy systems into governed lakehouse ecosystems and setting governance standards.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Enterprise Data Warehouse Architect based in Brazil. This role offers the opportunity to…
Data Engineer building scalable data pipelines and ETL workflows on-site in New Zealand, using Apache Airflow, Spark/PySpark/Scala, Databricks, Docker, and Advanced SQL.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Clearance Required based in the United States. This is a senior…
The Senior Data Engineer will design and implement advanced data pipelines using Databricks, PySpark, and Python. This role requires 6-8 years of experience and involves working with Delta Lake and Lakehouse architectures in a client-facing, office-based environment in Singapore.
Build and scale internal and client-facing data tools for retail media and e-commerce, focusing on automation, AI-enabled workflows, and full-stack development with Java, Python, and React.
Builds and maintains AI-driven platforms and web apps for a financial institution, using Python, FastAPI, AWS, and modern frontend tools.
Builds and maintains full-stack web apps and APIs for a bank’s data platform, using TypeScript, Python, React, AWS, and CI/CD pipelines to support analytics and AI workloads.
The Data Engineering Manager will lead a team of data engineers and a product manager to maintain and evolve the company's data transformation tools, specifically Databricks and Astronomer. The role focuses on team leadership, roadmap definition, budget management, and fostering professional growth within the Data Factory.
Senior data analyst builds and monitors product metrics, designs interactive dashboards, and documents business logic using SQL, BI tools, and DWH technologies.
Location: Charlotte, NC (Full time onsite) Job Description: Must Have Technical/Functional Skills Primary skills: Hadoop, Hive, Python, PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture,…
The Data Engineer will build and maintain data pipelines and ETL/ELT workflows while optimizing data models for analytics. The role involves working with Spark, AWS, and various data storage technologies to support the company's software supply chain security platform.
About the Role We are seeking an experienced Databricks Resident Solutions Architect (RSA) to lead the architecture, implementation, and optimization of enterprise Databricks Lakehouse solutions. This is a hands-on,…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Data Platform Engineering based in the United States. This is a senior…
Addepar is seeking a Senior Software Engineer to build and scale data platform services and AI-powered financial tools. The role involves working with distributed systems, cloud infrastructure, and big data technologies to improve platform velocity and product delivery.
Senior Solutions Engineer at Addepar advises institutional clients (endowments, pensions, asset managers) on modernizing investment workflows using a global data and AI platform, leading demos, POCs, and technical sales engagements.
Builds and scales a data analytics platform for investment professionals, using Java/Python, cloud infrastructure, and data engineering tools to enable data-driven decisions.
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