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Our client currently seeks a SC Cleared Data Engineer to join their dynamic team on an initial 3 month contract. This role is fully remote. Strong Azure-aligned data engineering and analysis experience (e.g., data lake…
Nomia Ltd in the United Kingdom is seeking a Data Engineer to turn data into a strategic asset. You will design and build data pipelines, manage the data lake, and collaborate across teams to create intelligent,…
Get AI-powered advice on this job and more exclusive features. This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base…
Senior Data Engineer – Fully remote We have partnered with the next tech Unicorn, a trailblazing tech company revolutionising entertainment with conversational AI and generative AI images. Within a short time, they…
Get AI-powered advice on this job and more exclusive features. IntaPeople: STEM Recruitment provided pay range This range is provided by IntaPeople: STEM Recruitment . Your actual pay will be based on your skills and…
Lead a Data Engineering team at STARK UK through a platform migration from Informatica and Azure Synapse to Databricks, building scalable data pipelines and data products on a Lakehouse architecture.
Build and maintain scalable data pipelines on Databricks & Azure SQL Server using PySpark, ELT, and Azure services to support veterinary care operations across 20 countries.
Designs, builds, and maintains cloud-native data pipelines (AWS/Azure) for government/regulated industries, focusing on ETL/ELT, PySpark, SQL, and data integration to enable data-driven decision-making.
Description We are seeking highly skilled and experienced Azure Data Engineers to join a newly formed group concentrating on Data. Within this role you will be a key member of the team, working on a complex and…
This Data Engineer role will be responsible for designing, building, and maintaining scalable data platforms, pipelines, and data products that enable analytics, reporting, and AI/ML solutions. The role focuses on…
Data Engineer building and maintaining data pipelines that power research, analytics, and trading workflows for a London-based investment firm, using Python and cloud environments (ideally AWS).
Data Engineer building and maintaining data processing pipelines and optimizing data for analytics using Python, Apache Spark, cloud services, and containerization in an onsite Agile team at Raytheon UK.
Build AWS-based ETL pipelines, data warehouses, and data lakes using Java, Python, Scala, Spark, and SQL for a global consultancy.
Software engineer on the Media Distribution Analytics team building and maintaining petabyte-scale data pipelines, real-time stream processing, and data products for BBC's streaming platforms (iPlayer, BBC Sounds) using Python/SQL/Java, cloud services, and tools like Spark, Kafka, or Flink.
Lead a data engineering team to design ETL/ELT processes and manage data warehouse and data lake platforms, ensuring data quality and governance for reporting and decision-making in a banking environment.
Lead a data engineering team to design, build, and maintain scalable ETL/ELT pipelines and data warehouses for a top Indonesian bank.
Senior Software Engineer in Data building data infrastructure and products at an Indonesian fintech, collaborating with international and local teams. Core stack centers on Java, Python, or Node.js with a preference for GCP/AWS, Apache Beam, DBT, Airflow, and big data warehousing tools.
Build and maintain a Python-based regulatory reporting platform that automates SARB returns using AWS, ETL pipelines, and data warehousing to replace manual spreadsheets.
Design, build, and operate cloud-native data platforms across AWS and Azure using Databricks and Microsoft Fabric, covering the full data lifecycle from ingestion through transformation, modelling, and serving to enable analytics and AI use cases.
Data Engineer at Nedbank building and maintaining data pipelines, data warehouses, and data infrastructure using Azure cloud services, SQL, Python, and big data technologies like Hadoop and Kafka.
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