Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, BigData, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead … Senior Data Engineer, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship. We are … seeking a Lead Data Engineer capable of leading client delivery, ensuring the highest standards. This will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting bigdata solutions and developing More ❯
Data Engineer (Databricks) - Leeds (Data Engineer, Python, PySpark, SQL, BigData, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Data Engineer) Our client is a global innovator and world leader with one of the most recognisable names within technology. … They are looking for Data Engineers with significant Databricks experience to join an exceptional Agile engineering team. We are seeking a Data Engineer with strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL … exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Data Engineer candidates from all backgrounds. This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training More ❯
Head of Engineering. You will oversee all aspects of the engineering lifecycle, from technology design and architecture through to implementation and optimisation. You'll work closely with cloud architects, data scientists, and risk officers to deliver a robust, scalable, and compliant platform that meets the bank's risk and regulatory needs. The role will shape the Lab vision, set … direction, and demonstrate technical leadership across the lifecycle from idea to value realisation. About us Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform how we meet the changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too … What you'll do Lead the engineering team responsible for end-to-end infrastructure and technology transformation, including legacy decommissioning and GCP-based data infrastructure. Provide technical direction and mentorship, fostering collaboration, innovation, and continuous improvement. Design scalable, high-performance cloud infrastructure on GCP, ensuring availability, resilience, security, and compliance. Implement Infrastructure-as-Code (IaC) using tools like Terraform More ❯
maintenance of ongoing performance metrics, investigations, reports, analyses, dashboards, etc. to drive key business decisions • Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities • Recognize and adopt best practices in reporting … and analysis: data integrity, test design, analysis, validation, training, and documentation • Apply data mining and quantitative analysis to understand how our customers interact with us and identify the best way to improve the customer experience and meet our loss reduction goals • Acquire various data sources to enable holistic analysis at a global level • Establish performance benchmarks, conduct … maintenance of ongoing performance metrics, investigations, reports, analyses, dashboards, etc. to drive key business decisions • Participate in the build of scalable solutions/self-serve platforms that will provide data/KPIs to inform business decision making and support the Security & Loss Prevention operations in their day to day tasks and responsibilities • Recognize and adopt best practices in reporting More ❯
troubleshooting and problem resolution Experience in System Integration Knowledge of the following: Hadoop, Flume, Sqoop, Map Reduce, Hive/Impala, Hbase, Kafka, Spark Streaming Experience of ETL tools incorporating BigData Shell Scripting, Python Beneficial Skills: Understanding of: LAN, WAN, VPN and SD Networks Hardware and Cabling set-up experience Experience of implementing and supporting BigDataMore ❯
