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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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Development & Support: Lead Data Engineer, Senior Machine Learning Engineer, Big Data Engineer, Senior Data Engineer, Principal AI Engineer, AI/ML DevOps Engineer. Leadership: Chief Data Officer (CDO), Head of Data Science, Director of Data Engineering.
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Experience in modern data engineering technologies including but not limited to cloud-native data estates, data pipelines, data virtualization, data as a product, data privacy, micro-services architecture, access management, data locality.
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Cloud Engineers set up, operate, develop, evolve, and maintain cloud-centric platform(s) including IoT, Customer Solution Delivery, Data Science Environments and Software Delivery, as well as satellite tools and environments (file storage, databases, tensorflow, data streaming, eventing, machine learning and big data frameworks, notebook technologies, and container orchestration tooling.
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Big data processing - Expertise in processing enterprise-scale volumes of data, ideally with proficiency in Snowflake. You’ll work as a technical leader senior voice within the data engineering team to uphold and evolve common standards and best practices, collaborate to ensure that our data solutions are complementary and not duplicative.
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Technical Skills: Proficiency in Big Data management tools like SQL, Python, or experience with natural language processing (NLP) datasets is an advantage. Team Collaboration: Work closely with product management, data engineering, data science, and front-end development teams.
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Deep expertise in cloud-based data technologies (AWS, Azure, or GCP) and big data processing frameworks (e.g., Spark, Hadoop) My client, a leading financial SaaS company revolutionising the fintech sector, is seeking an exceptional Head of Data Engineering to join their innovative team.
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Solid knowledge in one or more core tech areas, such as Web Tech, Data/Big Data, Systems Admin, Machine Learning, or Networking. If you have a strong background in core tech areas, software engineering, and solution design, this could be the perfect role for you.
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As Data Engineering Manager , I am recruiting for a retail client of ours who is looking for someone to lead a team of Data Engineers on some key projects as the business continues to grow and develop their data capability.
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Experience in dealing with data analytics and data management concepts Working knowledge on Python, ETL techniques, Hadoop, Big data is an advantage. Our engineering team embraces MACH architecture (Microservices, API-first, Cloud-native, and Headless) to deliver cutting-edge solutions.
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Are you an experienced Informatica Cloud specialist with Data Engineering skills ? Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
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Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. Design and develop data engineering tools to store, manage, query and visualize big datasets.
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The Data Science team is an integral part of the wider Data team, which also includes Data Analytics and Data Management teams, and is closely integrated with the IT team, especially in areas of Demand Management, Data Engineering and Service Delivery.
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Understanding and ability to articulate the vision for modern engineering (e.g., agile, cloud-native, DevOps), and operations (e.g., observability, automated response, SRE etc.) Experience and recent track record of success in IT Consulting or IT Management Consulting with regional or global consulting firms (Big 4, SIs or boutiques) with delivery and business development success and growth.
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Engineering Ops Manager Data Centre - £65- £75 PLUS, Car, Bonus. Data Centre Operational Engineering Opportunities £48000 to £100000 - depending on the role. We have some amazing opportunities that we are currently working on, on behalf of some of our customers, Directly employed, service providers, In-house Big 5 digital organisations, global cloud hosting organisations and niche market specialist sub-contractors – all of which we have been working with for many years.
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big data engineering jobs in United Kingdom
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