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Designs and optimizes enterprise data pipelines and lakehouse architectures, collaborating with analytics, software, and security teams to build scalable, production-grade data solutions.
Design, deploy, and manage containerized data pipelines and data lake/lakehouse architectures using SQL Server, Python, Kubernetes, Apache Airflow, and Spark.
Design and architect enterprise data platforms, pipelines, data models, and visualizations for federal government clients, spanning data engineering, BI, and data science. Core technologies include AWS services, Databricks, Spark, Kafka, SQL databases, and Python.
ABOUT US Hampshire Property Group is a family-owned business, established in 2006, with a strong national presence in land lease living, holiday parks, and communities across Australia. We are committed to creating…
Designs and builds a Kafka-based medical services platform to ingest, process, analyze, and securely store high-volume cardiac data for clinical analytics and reporting.
Design and maintain executive dashboards using Power BI and Microsoft Fabric, manage the end-to-end data lifecycle with SQL, and develop KPIs and reports for global leadership at Sony Latin America.
Lead the development and adoption of a modern AWS cloud-native data lakehouse platform for a UK debt charity, driving scalable data solutions as part of a five-year digital transformation.
Senior Data Engineer builds and integrates Python/FastAPI-based data platforms to enable internal teams' access to structured datasets, focusing on scalable, maintainable data solutions.
Senior Data Engineer focused on LLM & RAG architectures for a major telecom group, designing scalable data pipelines, optimizing vector databases and RAG solutions, and building AI services with FastAPI using Python, SQL, Spark/PySpark on Azure/Databricks.
Diseña e implementa pipelines de datos escalables en Azure y Microsoft Fabric, procesando grandes volúmenes con PySpark/Scala y optimizando consultas en KQL y SQL para generar insights críticos en entornos aeronáuticos.
Data Engineer building and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, designing Data Lakehouse architectures primarily on Azure Cloud for a consulting firm serving diverse sectors.
Senior Big Data Engineer specialized in Databricks, leading Lakehouse architecture design, ETL/ELT pipeline optimization, and data governance standards for a digital services consultancy in Madrid or Barcelona.
Senior Data Engineer building and maintaining ETL/ELT pipelines, ingesting structured and unstructured data, and developing RAG systems using Python, SQL, Kubernetes, and cloud platforms (Azure/AWS) for an AI Fintech in Madrid.
Lead Data Engineer designing and overseeing end-to-end data pipelines (ingestion, transformation, loading) on the SimpliFi Data Pool—an Azure-hosted repository using Data Vault 2.0, Databricks, Azure Synapse, Informatica IDMC, and PowerBI—while mentoring engineers and enforcing data governance.
Build and optimize large-scale data pipelines on Databricks and Azure, designing scalable data architectures and transforming raw data into high-performance analytics solutions.
Somos Plexus Tech. Una compañía tecnológica especializada en servicios y productos IT, fundada en el talento y las capacidades de nuestra gente, más de 5000 ptofesionales desarrollando tecnología con alma. Si le…
Build and maintain ETL/ELT pipelines on Microsoft Fabric to ingest and transform raw data into reliable datasets for analytics and BI, using Delta Lake, Spark, and cloud platforms.
The Data Architect will assess and modernize a client's legacy MsSQL and SSIS-based data warehouse environment into a modern cloud-based enterprise data platform. This role involves defining architectural roadmaps, redesigning data models, and establishing data governance standards.
The Cloud Platform Engineer will develop and maintain data transformation pipelines and cloud infrastructure using PySpark, AWS, and Terraform. This role involves supporting a Lakehouse platform within a hybrid environment in Newcastle and requires SC clearance eligibility.
The Senior Data Engineer will build and maintain scalable data pipelines and Lakehouse architectures using Databricks, Spark, and Python. This role involves collaborating with cross-functional teams to deliver data products while driving engineering best practices and platform optimization.
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