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The Data Engineer II will develop and maintain cloud-based big data pipelines using PySpark, Spark SQL, and Databricks. The role involves managing batch and near real-time data ingestion while ensuring stable CI/CD deployments in an Azure or AWS environment.
Designs and delivers AI, data engineering, and analytics solutions on Databricks for clients, creates technical content, and serves as a Databricks expert and ambassador.
DevOps Engineer at an online motor insurance company in Madrid, focused on building and operating reliable, scalable systems using AWS, Kubernetes, Python, and Infrastructure as Code (Pulumi).
Senior Data Engineer building data products with automated pipelines for batch and streaming scenarios using Databricks, Azure, and languages like PySpark/Python.
The Senior Cloud Data Platform Engineer will design and optimize cloud data infrastructure using AWS services, IaC, and data engineering tools to support scalable data workflows. This freelance role involves maintaining AWS projects and providing technical guidance to data engineering teams.
As a Senior Data Engineer Consultant, you will design and industrialize data platforms, build ETL/ELT pipelines, and manage large-scale data architectures using cloud technologies like AWS, GCP, or Azure. You will collaborate with data scientists and engineers to ensure data scalability and security while mentoring team members.
Design, develop, and optimize scalable data processing solutions and ETL pipelines using Python, PySpark, Databricks, and Azure, collaborating with Data Architects, Scientists, and BI teams.
Design, develop, and optimize scalable data pipelines and ETL workflows using Python, PySpark, Databricks, and Microsoft Azure, collaborating with cross-functional data teams.
Senior Data Engineer building and supporting scalable, enterprise-grade data platforms using Azure and Microsoft Fabric, designing data pipelines, Lakehouse and Data Warehouse solutions, and optimizing performance.
Ayesa Digital is seeking a Data Scientist and Machine Learning Engineer in Valencia to manage the full data lifecycle, including designing, training, and deploying ML models into production environments.
Lognext is seeking a Data Engineering Lead to manage the data lifecycle and build analytical solutions for an insurance company. The role requires expertise in Python, PySpark, and Power BI, with a focus on delivering business value.
Data Engineer role at Coventry Building Society working with AWS, Python, SQL, Git, and PySpark. Requires Data Engineering qualification or extensive Data Development experience in commercial/Agile environments.
Lead Data Engineer on a cloud delta lakehouse data platform using Azure, Databricks, and PySpark, based hybrid in Central London (4 days office).
Salary: £65,000 - 105,000 per year Requirements: Strong hands-on experience in ML model development Extensive experience with Python, SQL, ETL pipelines, and PySpark Proficient understanding of cloud data solutions and…
Data Engineer building data solutions with SQL, Databricks, Apache Spark, and Python (PySpark/Pandas), potentially on Azure infrastructure.
This role is for a hands-on Azure Databricks Platform Engineer/Architect to optimize enterprise data platforms, implement serverless compute, manage FinOps, and migrate workloads from POSIT/RStudio. The position requires deep expertise in Azure Databricks, Python, PySpark, and SQL to build and maintain scalable data pipelines and platform controls.
The Big Data Engineer will design and build scalable data pipelines and streaming solutions using PySpark, Scala, and various big data technologies. The role focuses on optimizing distributed data platforms and processing large-scale datasets within an enterprise environment.
The Data & AI Engineer / MLOps Engineer will lead the deployment and maintenance of AI solutions from research to production. The role involves collaborating with cross-functional teams using Python, PySpark, SQL, and AWS.
Lognext is seeking a Senior Data Engineer to work on projects for a leading insurance company. The role involves managing the full data lifecycle, developing ETL processes using Python, PySpark, and SQL, and building analytical dashboards with Power BI.
The Data Science Analyst will design and maintain data pipelines and develop scalable data solutions using Python, PySpark, SQL, and Palantir Foundry. The role involves collaborating with stakeholders to translate business requirements into actionable data insights.
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