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Data Engineer building and optimizing Big Data pipelines and ETL/ELT processes using PySpark, AWS, Kafka, Spark Streaming, SQL, and table formats like Iceberg/Delta Lake.
On-site Data Engineer at Keepler (Accenture) in Spain, building PySpark-based data pipelines, ETL/ELT flows, and dimensional models while working toward Palantir Foundry adoption at client sites.
We are looking for the very Top Talent…and we would be delighted if you were to join our team! ¿Es este el puesto que está buscando? Si es así, siga leyendo para obtener más detalles y no olvide enviar su solicitud hoy…
Position Summary: The Junior Database Developer designs and builds the data layer for the platform. You will develop schemas, queries, and data pipelines on AWS data services, optimize performance, and ensure data…
The Junior Data Engineer will develop and maintain modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure Data Factory. The role involves integrating data from multiple sources, optimizing data transformations, and supporting SQL Server-based data warehouse environments.
The Data Engineer will build and maintain data pipelines, manage the Enterprise Data Warehouse, and create clean datasets to support business intelligence. The role focuses on data transformation, quality assurance, and performance optimization using technologies like SQL, Python, and AWS.
The Lead Data Engineer will design and optimize scalable data platforms and pipelines on AWS, utilizing Oracle PL/SQL and PostgreSQL PL/pgSQL. This role involves leading enterprise-level data initiatives, mentoring team members, and ensuring high standards for data governance and performance.
Vårt team skapar datadrivna effektiva verksamheter - Visst vill du vara med? Vill du arbeta med att bygga dataplattformar och dataflöden i uppdrag som spänner över viktiga samhällsfunktioner, och samtidigt utvecklas i…
Design and build scalable cloud data platforms and ETL/ELT pipelines in Python, orchestrated with Airflow/Dagster, running on AWS/Azure/GCP to power analytics and AI-driven solutions for Fortune-500 clients.
Senior AI & Full-Stack Engineer builds and deploys AI-driven systems for fintech platform SmartLend, focusing on automating financial analysis, credit risk assessment, and lender matching using AI/ML, data pipelines, and full-stack development.
This is a Data Engineer apprenticeship role where you will learn to build and maintain data pipelines, work with various data sources, and support analytics and AI initiatives. You will gain hands-on experience with technologies like Python, SQL, Azure, and Databricks while working within a professional data engineering team.
Lead Data Engineer Up to £85,000 Holborn, London (4 days a week in office) This is an opportunity to take ownership of a Data Engineering function at a high-growth AI-driven SaaS business. Working directly with senior…
Lead Data Engineer Location: London - 4-day working week (Fridays off) Salary: £85,000-£90,000 THE COMPANY This fast-growing AI SaaS company helps organisations unlock the value of their first-party data through an…
Analyze financial and operational data to build dashboards, uncover trends, and deliver insights that guide product and business decisions for a B2B fintech serving Latin America.
Senior Analytics Engineer Permanent role - up to £65k base benefits Oxford | Hybrid (2 days onsite) The Role I'm partnering with an innovative organisation looking to hire a Senior Analytics Engineer to help develop…
Designs and maintains data pipelines, warehouses, and analytics solutions in Azure/Snowflake, bridging business needs with technical execution while integrating AI tools like Snowflake Cortex.
Build and maintain executive dashboards in Power BI, translate marketing data into clear insights, and advise stakeholders on campaign performance and ROI.
The Data Engineer will build, maintain, and optimize scalable data pipelines and analytical platforms using Python, Databricks, and PySpark within Azure cloud environments. The role involves collaborating with cross-functional teams to deliver data products and implementing MLOps and CI/CD practices.
Build and maintain scalable data pipelines on GCP, migrating workloads to BigQuery and ensuring high-quality, production-grade data products for analytics and BI.
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable…
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