Machine Learning, Deep Learning or LLM Frameworks) Desirable Minimum 2 years experience in Data related field Minimum 2 years in a Business or Management Consulting field Experience of Docker, Hadoop, PySpark, Apache or MS Azure Minimum 2 years NHS/Healthcare experience Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order More ❯
automation testing of etl (extract, transform, load) processes and data warehousing. 3. Strong understanding of sql for data querying and validation. 4. Knowledge of big data technologies such as hadoop, spark, or kafka is a plus. 5. Familiarity with scripting languages like python, java, or shell scripting. 6. Excellent analytical and problem-solving skills with a keen attention to More ❯
Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance More ❯
at collaborating with cross functional teams Strong Background and experience in Data Ingestions, Transformation, Modeling and Performance tuning. Should have experience in designing and developing dashboards Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and More ❯
Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General More ❯
Milton Keynes, Buckinghamshire, South East, United Kingdom
InfinityQuest Ltd,
and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and resolve data-related issues efficiently. Required Skills & Experience:- Proven experience as a Data Engineer with … a strong foundation in data analysis. Expert-level proficiency in SAS for data manipulation and reporting. Working knowledge of IBM Mainframe systems and data structures. Advanced programming skills in Hadoop, SQL, Spark, and Python. Strong problem-solving and analytical skills. Experience with data modeling, warehousing, and performance tuning. Familiarity with Santander UK systems and processes is a strong advantage. … Preferred Qualifications:- Bachelors or Masters degree in Computer Science, Data Engineering, or related field. Certifications in SAS, Hadoop, or related technologies. Experience working in financial services or banking domain. Soft Skills:- Excellent communication and collaboration abilities. Ability to work independently and in a team-oriented environment. Strong attention to detail and commitment to quality. More ❯
Milton Keynes, Buckinghamshire, England, United Kingdom Hybrid / WFH Options
Lorien
banking-focused data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop, and cloud-based data processing skills to manage and analyse large datasets. Support the design and structure of data models, with a working understanding of data modelling principles. Present … scalable data solutions within a cloud architecture. Key Skills & Experience: Proven experience as a technical data analyst or data engineer in a project-focused environment. Strong proficiency in SQL, Hadoop, and cloud platforms (preferably AWS). Experience with data mining, data modelling, and large-scale data processing. Familiarity with tools such as Python, R, and Power BI. Understanding of More ❯