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Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose…
Job Summary We are seeking a highly skilled Senior Data Engineer to join the APEX engineering team and contribute to the design, development, and evolution of our next-generation data platform. The successful candidate…
Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment…
Build and operate scalable data infrastructure—ingestion pipelines, identity graph, partner data sharing platform—on modern data stacks (Snowflake, Databricks, dbt, Kafka) within a fintech co-branded credit card company.
Design and develop data pipelines and distributed architectures (Hadoop, Spark, Microsoft Fabric, Databricks). Manage data integration, ETL/ELT processes, and optimize performance using SQL, Python, and Azure cloud services.
Overview Windows runs on over a billion devices worldwide, and the Windows Data team turns the signal from that ecosystem into the insights that shape the product. We manage, optimize, improve, and extend several…
Builds and maintains systems that reconcile global card-network settlement data with internal transactions to power financial reporting, tax compliance, and regulatory filings for a payments company.
Senior Data Engineer builds and maintains CoreWeave’s global hardware fleet monitoring data lake and analytics stack using Apache Iceberg, Trino, Spark, Airflow, and Superset to power observability and executive reporting.
This is a remote position. Position Overview We are seeking a highly skilled MLOps Engineer with deep expertise in the Databricks ecosystem to join our data team for a critical 6-month initiative. In this role, you…
Vivid Housing seeks a Senior Data Engineer to shape and evolve their Azure data platform, building secure, scalable pipelines with Azure Databricks, Data Factory, Synapse, Delta Lake, SQL, Python, and PySpark, while mentoring engineers and driving CI/CD and testing best practices.
Job number UU05908 Country United Kingdom Region Cheshire West and Chester Location name Lingley Mere (UU), Lingley Green Avenue, Great Sankey, Warrington, WA5 3LP Posting End Date 08/09/2026 Band 4a Role Type…
We’re VIVID! – We offer a vibrant, friendly, inclusive culture that supports, develops and attracts the best people! We’re recruiting for a Senior Data Engineer to join our team Portsmouth or Basingstoke! This is a…
Candidates in the listed location(s) are encouraged for this role Remote - San Francisco As a Strategic Core Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns…
Build and maintain customer-facing features, REST APIs, backend services, and data workflows for an AI-driven cybersecurity threat detection platform, primarily using Python and relational databases.
Build and optimize Cato’s petabyte-scale data lakehouse: design schemas, tune Spark jobs, and run ClickHouse/EMR to serve low-latency analytics for the entire company.
About Our Client: Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
The Cloud and Data Engineer will optimize data pipelines and ETL processes using Databricks, while designing AI agentic workflows and integrating LLMs into data systems. The role involves collaborating with cross-functional teams to ensure data integrity and building automated testing frameworks within a cloud environment.
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.
Chief Architect leading a Databricks practice at a tech consultancy—designing Lakehouse platforms, owning enterprise architecture, leading large-scale cloud/data migrations, and mentoring engineering teams across APAC, with hands-on Spark work.
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