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Principal Data Engineer leading enterprise-grade data initiatives on Databricks and Azure. The role involves architecting solutions using PySpark, SQL, and Python, while implementing AI-assisted development, data governance, and CI/CD practices.
Job Description Job Description CGS Business Solutions is committed to helping you, as an esteemed IT Professional, find the next right step in your career. We match professionals like you to rewarding consulting or…
Designs, optimizes, and scales Databricks-based data pipelines for AI-driven solutions, focusing on ETL/ELT workflows, cloud security, and collaboration with cross-functional teams.
Meet the Team Cisco’s AI and Software Platform Group is building the next generation of intelligent, cloud-native platforms that power Cisco products, services, and customer experiences. We are seeking a Principal…
Principal Data Engineer at KPMG UK setting the technical direction for data engineering: building enterprise-scale Databricks pipelines on Azure (PySpark, Delta Lake, Unity Catalog, ADF), enforcing engineering standards with CI/CD and AI-assisted tools, and leading and mentoring a team of data engineers.
Principal-level data engineer who builds and enhances Databricks pipelines on Azure for healthcare data (claims, encounters, FHIR, EHR) using Python, PySpark and SQL. Works with product teams, data engineers and clinical leaders to deliver trusted, high-quality data products.
Places for People, a UK social enterprise, is hiring a Principal Data Engineer for a national role. The visible posting focuses on company culture and values rather than specific day-to-day duties or technologies.
Leads the data engineering team at SIRA within the NSW Department of Customer Service, providing hands-on technical leadership for analytics platforms, data ingestion frameworks, and ETL/ELT pipelines. Core stack includes Snowflake, BigQuery, Redshift, AWS/Azure/GCP, Talend, Airflow, Dagster, Python, Java, and SQL.
Salary £51,356 - £55,612 Per Annum (Pay Award Pending) | Permanent | Full time, 37 hours per week | Hybrid working Shape the Future of Data in Lancashire Please note that we are unable to offer sponsorship for this…
A senior technical leader role designing and building Takeda's enterprise-scale data platforms on Databricks, AWS, PySpark, and Delta Lake for R&D, clinical, regulatory, and commercial analytics. Day to day: define architecture standards, build Lakehouse pipelines, drive DataOps/CI/CD, ensure GxP/HIPAA compliance, and mentor engineering teams.
Principal Data Engineer at Takeda leads the architecture and delivery of enterprise-scale data platforms on Databricks, AWS, PySpark, and Delta Lake for R&D, clinical, regulatory, and commercial analytics. Day to day: setting architecture standards, building Lakehouse pipelines and CI/CD, and mentoring data engineers.
Principal Data Engineer (VP grade, permanent, London) at HKEX/LME shaping the strategic data platform for high-volume trading data: building a Spark/Trino/Iceberg lakehouse, Kafka/Flink streaming, and self-service data capabilities on Kubernetes/OpenShift with Terraform and GitOps.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Principal Data Engineer at GFT Poland designing and delivering cloud-based data platforms and architectures for analytics, reporting, and data-driven decision-making. Day to day involves translating business requirements into architectural decisions, building data processing frameworks, and driving data quality and governance using SQL, Python, Spark/PySpark, GCP, and Databricks/Snowflake.
Principal Data Engineer at BMO in Toronto who oversees enterprise data pipeline architecture, cloud data platforms, and data integration across hybrid cloud/on-premise setups. Requires hands-on coding in Python, Spark, and Scala, plus expertise in big data, streaming, data warehousing, and AI/ML practices (GenAI, RAG, MLOps, LLMOps).
Principal Data Engineer/architect at Medidata (a Dassault Systèmes brand) leading the design of an object-centric data fabric for clinical trial data. Day to day: building real-time streaming pipelines (Kafka, AWS), a lakehouse on Apache Iceberg and Snowflake, and Java/Scala backend services, using AI tooling for schema mapping, query tuning, and compliance documentation.
Principal engineer on Alexion's Advanced Robotics & Data Orchestration team, designing ontologies, metadata models, and data contracts for the Product Development & Clinical Supply labs, with reference implementations on Databricks/AWS. Serves as the main liaison to the Alexion Data Office and IT, with required periodic travel to New Haven, CT.
Principal Data Engineer who owns and evolves Styli's data platform, leading a hands-on migration from BigQuery to a Databricks lakehouse (Delta Lake, Unity Catalog) on GCP while building batch/streaming pipelines and mentoring senior engineers. Core stack: Databricks, Airflow, dbt, Kafka, Python/PySpark, SQL.
Staff/Principal Data Engineer at a stealth London AI startup, shaping data platform architecture from the ground up while staying hands-on in code. Works across Data, Platform, Software and AI Engineering to solve complex data problems at scale; hybrid with 2 days a week in London.
We are looking for an experienced Principal Data Engineer to provide technical leadership across our enterprise data platforms, architecture, and engineering capabilities. You will design and deliver secure, scalable…
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