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Data Engineer building Big Data pipelines, streaming solutions, and Datalake/NoSQL environments using Apache Spark, Kafka, and Databricks at a European parcel delivery leader.
Build data architectures and ETL/ELT pipelines using Python, SQL, and Spark at Sogeti's Aix-en-Provence office, collaborating with business and IT teams.
Builds and maintains data pipelines, warehouses, and lakes; designs data architectures; ensures data quality and reliability for business use cases using Python, SQL, and cloud platforms.
Build and maintain global data pipelines from raw sources to curated layers, ensuring quality and performance for analytics and data science teams.
Designs and builds data pipelines (ETL/ELT) while setting up data storage/treatment solutions (warehouses, lakes) to ensure long-term data infrastructure reliability for analytics and AI teams.
Builds and maintains Databricks-based data pipelines to integrate structured/unstructured data, designs data models, and enables AI/analytics use cases by ensuring high-quality, governed data for business processes and applications.
Data Engineer building a central Databricks-based data platform with an AI focus—designing data pipelines, modeling data structures, and developing data products using SQL, Python, and ETL/ELT processes.
Design, develop, and maintain ETL/ELT data integration pipelines on a Corporate Data Platform using SQL, Python, Spark, Databricks, and cloud services, collecting and transforming data from business and manufacturing systems.
Data Engineer at ICT company Craon, designing and managing scalable data pipelines using Python/Scala, SQL, Big Data platforms (Spark, Hadoop, Hive, Cloudera), and Cloud services (AWS, Azure, GCP) on an enterprise project. Hybrid in Milano/Torino.
Data Engineer building scalable data pipelines, ETL/ELT processes, and integrating heterogeneous data systems in an enterprise context using Python/Scala, SQL, Spark/Hadoop/Hive, and cloud platforms (AWS/Azure/GCP with BigQuery/Redshift).
Pearson Carter are currently recruiting a Data Engineer to join their growing Data & Integration team on a contract basis. This role offers hybrid working in Reading (3 days onsite, 2 days remote) with inside IR35…
Senior Data Engineer owning a major BigQuery platform rebuild, building scalable ETL/ELT pipelines and leading data migration/integration post-acquisition at a London-based company spanning home services, financial services and energy transition.
Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act…
Designs and maintains scalable data pipelines on Databricks/Azure, focusing on ELT and analytics for the UK veterinary sector’s data platform.
Methods Business and Digital Technology Limited Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates…
Direct message the job poster from La Fosse Outside IR35 | £500-525/day | Milton Keynes or Manchester | Hybrid | Initial 7 Months We have a new Senior Data Engineer contract opportunity with a global leading client…
Pre-sales Technical Solutions Architect focused on data engineering, helping enterprise customers design AI-ready data platforms using Snowflake and Databricks on major clouds while partnering with sales teams to shape services opportunities.
Belfast | Hybrid | £50,000 - £60,000 This is an exciting opportunity to join a newly expanding team supporting enterprise-wide analytics and data transformation across Finance, Procurement, Supply Chain, Planning and…
Design, build, and support cloud-based data solutions across AWS and Azure, driving data migration, integration, and governance using ETL/ELT, data warehousing, and data lakehouse architectures.
Valtech in Bengaluru is hiring a Data Engineer to design scalable data architectures and pipelines across cloud platforms. You’ll work on ETL/ELT, data modeling, and ensuring data quality while collaborating with data…
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