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Senior Data Engineer at WeDoTech in London to drive modernisation of large-scale data pipelines and workloads using Spark/PySpark, Python, and AWS in a complex enterprise environment.
Builds and supports data pipelines and models (Data Vault 2.0, Kimball) using Databricks or Snowflake, SQL, and Python within regulated financial services, focusing on client delivery and production data platforms.
Lead the design, delivery, and security of a cloud-based data platform for a healthcare consultancy, using Databricks and OCI to build scalable, compliant pipelines and mentor a team of data engineers.
Hands-on Senior/Lead Data Engineer building and modernising large-scale data pipelines using Spark, PySpark, and Python on AWS in a hybrid London role.
You will design and implement scalable data solutions using Databricks, PySpark, SQL, and Azure technologies for a healthcare data platform, transforming raw data into actionable dashboards and data products.
A senior data platform engineer designs and implements scalable end-to-end data solutions for healthcare analytics using Databricks, PySpark, and SQL on Azure, building real-time and batch pipelines and creating actionable dashboards.
Senior Python Developer building backend applications and data processing pipelines for trading and risk management systems in investment banking at CRISIL's London office.
Senior AI Data Engineer building ETL pipelines, data warehouses, and AI/ML infrastructure using Python, SQL, Spark, cloud platforms (AWS/Azure/GCP), and Generative AI technologies like LLMs, RAG, and vector databases.
Works as a Data Engineer building and maintaining data pipelines in Azure and Databricks environments, collaborating with business areas to ensure data quality, security, and governance. Core technologies include Azure, Databricks, SQL, and Python.
LAKEORA is a Riyadh-based data and AI advisory firm and a pure-play Databricks partner. We build the governed data platforms that Saudi enterprises run their decisions on, going deep on one platform rather than wide…
Builds and maintains scalable RAG pipelines and ETL/ELT workflows in AWS, using Python, Prefect, ElasticSearch, and NiFi to support federal AI and analytics workloads.
Lead a team building and operating FloQast’s lakehouse stack (Iceberg, Spark, Kafka, Trino) while coding half the time and managing engineers the other half.
Designs, builds, and maintains scalable data pipelines and integrations for US federal government clients using cloud technologies like Databricks, Spark, AWS, and Snowflake.
Principal Data Platform Engineer at CommBank building and running platforms that support credit risk model development, validation, implementation, and monitoring using AWS technologies (S3, EMR, Glue, Lambda, Redshift, SageMaker) and other data platforms to enable model execution and deployment at scale.
Lead the design and build of UNSW College’s enterprise data platform using Microsoft Fabric, Azure, and Power BI to deliver trusted analytics and insights for student and academic outcomes.
Builds and maintains enterprise-scale data pipelines on Microsoft Azure for Rabobank, ensuring data-driven decision-making across the bank’s agribusiness operations.
Build scalable data pipelines using Azure services like ADF, Synapse, Databricks, and ADLS, while maintaining governance and security standards, and working with stakeholders to enable data-driven decisions.
Designs and maintains scalable data pipelines using PySpark, Spark, and AWS services to ingest, transform, and load data for analytics and reporting.
Senior Data Engineer building data platforms using Databricks and cloud services (Azure, AWS, GCP) for clients. Requires SQL, Python, PySpark, and Big Data experience in a hybrid model.
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