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 ❯
Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid / WFH Options
Sparta Global Limited
Apply now to be part of our award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, BigData and Machine learning. You will be equipped to work within a variety of roles including but not limited … to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will … be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers, data scientists, analysts and even stakeholders to understand their 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 ❯
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 ❯
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 ❯