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AECOM is seeking an experienced Senior Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. Join our growing Digital team across our UK…
Designs, builds, and optimizes large-scale data pipelines using distributed processing technologies like Spark, Hadoop, and Kafka. Work involves SQL, Python/Scala, and cloud environments to integrate diverse data sources for real-time and batch analysis.
Build and optimize scalable ETL/ELT data pipelines, support data governance, and enable analytics using AWS, Snowflake, and modern stack tools within the financial sector.
Principal Data Scientist - Optimization Engineering We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you're reading this, you have…
Principal AI Data Engineer (GenAI/Agentic AI) - Contract Opportunity Principal AI Data Engineer Hybrid Working Initial 6-Month Contract (Inside IR35) Long-Term Programme with expected extensions over a multi-year…
Analytics Engineer Remote Location: Northern Ireland Position Title: Analytics Engineer Department: Enterprise Systems Reports To: Director, Data Engineering Supervises: N/A Classification: Full Time, Permanent JOB…
Задачи Разработка корпоративного хранилища данных. Участие в проектировании архитектуры DWH. Разработка и сопровождение пайплайнов потоковой обработки данных (Kafka/RabbitMQ > RisingWave / Apache Flink). Анализ,…
We are seeking an experienced Database Engineer to design, develop, optimize, and manage enterprise-grade relational and non-relational database systems. The ideal candidate will have strong expertise in database…
Мы в поисках крутого Data Engineer с опытом работы в данной сфере от 5 лет для работы над крутым продуктовым проектом нашего партнера (компания входит в ТОП-100 крупнейших компаний РФ). Проект - корпоративное хранилище…
Enterprise Data & Analytics Senior Data Engineer Hybrid | San Diego, CA Compensation: $105,000 - $132,000 per year Actual compensation within this range will be determined by factors including experience,…
You're a data engineer who builds and maintains reliable pipelines that turn raw commercial and operational data into trusted, queryable datasets. You bring hands-on experience with modern ELT tooling and a track…
Help shape the future of Education We work to shape an education system that delivers equitable and excellent outcomes Our organisation is made up of talented and committed people around Aotearoa, from a wide range of…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Data Engineer SME - Clearance Required based in the United States. This is a…
Build and support centralized ETL/ELT pipelines and data models for a financial holding company. Use SQL, Python, and warehousing technologies to integrate data sources and ensure data quality.
Key Responsibilities of the Role: Analytics & Business Intelligence Design, develop and maintain scalable analytics solutions using very large and complex datasets. Analyse millions of Vehicle Identification…
About the team: Materra is on a mission to radically reduce global waste and move to a true circular economy. The team has developed technology that identifies waste material at the molecular level—starting with…
A Sr. Solutions Engineer who leads technical pre-sales engagements—discovery, architecture, demos, and POCs—on the Databricks data/AI platform across data engineering, analytics, and ML workloads.
As a Sr. Solutions Engineer at Databricks, you lead technical customer engagements, design solutions using the Databricks platform, and demonstrate its capabilities to drive adoption, working with data teams and architects.
About mPulse: mPulse is the leader in conversational AI and member engagement for healthcare. We partner with the nation's most innovative health plans — Medicare Advantage, Medicaid, and Commercial — to engage…
Senior Data Engineer building scalable data pipelines and solutions using Databricks, Snowflake, AWS, and Python to support enterprise data platforms for financial services.
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