15 of 15 Databricks Jobs in the East of England

recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines Containerization (Docker, Kubernetes desirable) Model packaging and REST APIs Cloud & Tools (Any combination) AWS/Azure/ ...

/Kinesis, streaming ETL). Knowledge of data quality frameworks (Great Expectations, Deequ) and data lineage/catalog (Atlas, Alation, Collibra). Exposure to Databricks or EMR for advanced Spark workloads. Certifications: AWS Solutions Architect/Data Analytics/DevOps Engineer. Prior experience leading multi-team programs with offshore/ ...

equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running ...

team will build and run so developing applications and deploying with DevSecOps. The Data team will also deploy solutions and will move to Fabric, Databricks or Snowflake. With a Data Architect now in place, the focus is to recruit a Head of Software Engineering & Platform to lead the software engineering ...

providing collective fund solutions to third party customers. Job Purpose The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional … Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners ...

strong knowledge of AWS You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Software Engineer (Machine Learning ...

transformation programmes, and data architecture Strong understanding of D365 data structures and expertise in data modelling, integration, and reporting platforms Hands-on experience in Databricks, Power-BI, Power Query, DAX, tabular model design, star and snowflake schemas. Strong track record of delivering end-to-end data solutions for complex business ...

quality solutions. The role offers true ownership, allowing you to take projects end-to-end while working with modern technologies such as Microsoft Fabric, Databricks, and Python in a collaborative, forward-thinking environment. Responsibilities You will design, build, and optimise data pipelines and integration solutions that support reporting, analytics … translate requirements into robust data solutions. Requirements Proven experience as a Data Engineer delivering end-to-end data solutions Strong experience with Microsoft Fabric, Databricks, or similar platforms Solid understanding of data modelling (star schema, dimensional modelling, lakehouse design) Experience building and optimising ETL/ELT pipelines using SQL, Python ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

systems is a significant plus, we prioritise deep technical proficiency in the following: Integration and Data: Strong experience building complex integrations with APIs, Databricks, and SQL is essential. Modern Web Stack: High proficiency in TypeScript and GraphQL is highly valued. Cloud Architecture: Deep familiarity with the Azure suite to ensure ...

forward-thinking organisation based in Peterborough, where you will play a pivotal role in the ongoing transformation of their data infrastructure. Currently transitioning to Databricks, you will ensure seamless migration and optimisation of data pipelines. Data Engineer - What will you be doing? * Collaborating with team members to migrate existing data … pipelines from legacy systems to the new Databricks platform.* Supporting the ongoing build-out of the Databricks environment by developing robust, scalable data solutions that meet current and future business needs.* Maintaining dual operations across both legacy and modern stacks, ensuring reliable data flow and system integrity during the transition ...