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Hands-on Director owning Waters Corporation's Enterprise Data Platform end to end — architecting and building Databricks Lakehouse, Power BI semantic layers, and SAP integrations with Terraform IaC, while leading a direct platform engineering team and a matrixed GCC team.
Principal Data Engineer providing enterprise-wide technical leadership across data platforms, governance, and delivery at NZ Transport Agency, working with Databricks, Lakehouse architecture, SQL, and Python/Scala/R.
Leads a team to design and deploy production-grade GenAI systems, including RAG pipelines and agentic workflows, while establishing reusable frameworks and best practices for JPMorganChase.
Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse,…
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data…
The Azure Databricks Platform Engineer will design, deploy, and manage cloud-native data platform solutions using Azure Databricks, Python, and Spark. This role focuses on building resilient data pipelines, ensuring platform security, and supporting data modeling within a large-scale fintech environment.
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.
The Senior Data Engineer will build and evolve a strategic Research data platform using Databricks, Azure, and Spark to support analytics and AI initiatives. This role involves designing scalable data pipelines, implementing data governance, and coordinating with global teams to deliver enterprise-grade data products.
Builds cloud-native data platforms and analytical applications for genomic data at petabyte scale, turning statistical genetics methods into scalable, high-performance commercial products. Bridges bioinformatics scientists, cloud engineers, and product teams to deliver APIs, UIs, and interactive query interfaces for population-scale health research.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
The Senior Data Engineer will design and maintain scalable batch and streaming data pipelines to support marketing and AI/ML initiatives for financial services clients. The role involves cloud-native architecture, data governance, and technical leadership within a hybrid-remote environment.
This role is a senior data engineering leadership position responsible for architecting and managing large-scale, high-throughput batch and real-time data pipelines. The candidate will lead a global team while utilizing technologies such as Apache Spark, Databricks, Scala, and Python to build robust data platforms.
The Lead Software Engineer will design, build, and maintain scalable data-intensive services and applications for financial indices using Python and AWS. This hands-on role involves leading technical architecture, mentoring team members, and ensuring high-quality software delivery through modern engineering practices.
Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Senior Data Engineer at Bank of America building enterprise-scale data platforms and integration solutions using Spark/Scala, Kafka, Hadoop, Starburst, cloud technologies, and Informatica.
Lead a data platform team building and scaling streaming (Kafka/MSK) and lakehouse (Databricks) infrastructure, partnering with engineering, analytics, and security teams to deliver reliable, cost-efficient data foundations.
Data Engineer building and maintaining scalable data pipelines and infrastructure using Databricks, PySpark, Python, SQL, and Delta Lake to support Eli Lilly's scientific and business initiatives.
DevSecOps Engineer supporting a data lakehouse platform on AWS Government Commercial Cloud, building CI/CD pipelines with government-approved tools (GitLab, SonarQube, Fortify) and ensuring security compliance for government stakeholders.
Build and secure CI/CD pipelines for a government data lakehouse on AWS GCC, using tools like GitLab, Terraform, and SonarQube while ensuring compliance with strict security and governance standards.
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