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The Data Engineer will design, develop, and maintain scalable data pipelines to support Financial Crime Risk and Corporate Tech platforms. The role involves working with AWS cloud services, Python, and SQL to ensure high-quality data ingestion and operational stability.
The Director of Enterprise Data & Analytics Architect will lead the design and scaling of Lilly's AWS-based data and AI platform, focusing on Databricks Lakehouse architectures to support commercial analytics and AI/ML initiatives. This role involves defining data strategy, ensuring governance compliance, and collaborating with cross-functional teams to operationalize data products and GenAI solut
The Director of Enterprise Data & Analytics Architecture will lead the design and scaling of Lilly USA's commercial data and AI platforms using AWS and Databricks. This role involves defining data strategy, implementing modern data architectures like Data Mesh and Lakehouse, and collaborating with cross-functional teams to operationalize AI/ML models for commercial intelligence.
Data Engineer at Barclays building and maintaining scalable ETL/ELT data pipelines, data warehouses, and data lakes in cloud environments, using SQL and modern data platforms.
Senior Data Platform Engineer on Clio's Security/Logging Engineering team, designing and building scalable logging infrastructure, high-throughput data pipelines, and ELK/OpenSearch deployments at petabyte scale using streaming and cloud-native technologies.
Designs and builds scalable data pipelines, ETL workflows, and warehouses to feed analytics and applications, using SQL, Python, and cloud tools.
Build and maintain scalable data pipelines and infrastructure to power analytics and compliance in a cloud-based big data environment.
Senior Data Engineer building and maintaining scalable data pipelines on AWS (Databricks, Airflow, Step Functions, Glue, Redshift, S3) using Python, PySpark, and SQL within Toyota's Supply Chain fusion teams.
The Analytics Engineer will support Huron's enterprise analytics and reporting by building data pipelines, semantic models, and dashboards using SQL, Python, and Power BI. This entry-level role involves collaborating with cross-functional teams to ensure data quality and accurate reporting for business stakeholders.
The Data Engineer will design and maintain cloud-native data pipelines and infrastructure on AWS to support AI/ML, LLM, and analytical workloads for the Joint Warfare Analysis Center. This onsite role requires expertise in AWS data services, FinOps, and DoD security compliance within a high-security environment.
Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming…
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and…
Desde ISPROX buscamos para uno de nuestros clientes del sector tecnológico un/a Senior DevOps Engineer especializado/a en AWS. Te incorporarás a un equipo de Professional Services, trabajando de forma cercana con el…
Senior Data Engineer at EY designing, building, and operating enterprise-scale AWS Lakehouse platforms using Spark, dbt, Iceberg, and QuickSight to deliver analytics, reporting, and AI-ready data solutions for clients.
Senior Data Solutions Engineer providing data consultancy to clients—designing cloud data platforms on Azure/AWS, leading architecture and delivery across the data lifecycle, and mentoring project teams.
Role Summary We are seeking engineers who combine strong software engineering fundamentals with modern data engineering expertise. Candidates should be capable of designing, building, deploying and operating…
Data Analyst on a 12-month hybrid contract automating reporting, building Alteryx workflows and Power BI dashboards, querying data with SQL, and supporting a migration to Azure Databricks.
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
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