226 to 250 of 274 Databricks Jobs in the UK excluding London

Data Engineer- Outside Ir35 - £500 daily rate- Manchester - 6 Month Role Overview: We're seeking an experienced Contract Data Engineer with a strong background in Databricks and cloud data platforms to support a high-impact data transformation programme. This hybrid role requires 2 days per week onsite in our Manchester office (non-negotiable) , with the remainder remote. You'll join … paced, delivery-focused data team responsible for building and optimising scalable, production-grade data pipelines and infrastructure. Key Responsibilities: Design and implement robust, scalable ETL/ELT pipelines using Databricks and Apache Spark Ingest, transform, and manage large volumes of data from diverse sources Collaborate with analysts, data scientists, and business stakeholders to deliver clean, accessible datasets Ensure high performance … best practices Work with cloud-native tools and services (preferably Azure ) Required Skills & Experience: Proven experience as a Data Engineer on cloud-based projects Strong hands-on skills with Databricks , Apache Spark , and Python or Scala Proficient in SQL and working with large-scale data environments Experience with Delta Lake , Azure Data Lake , or similar technologies Familiarity with version control More ❯

Data Engineer- Outside Ir35 - £500 daily rate- Manchester - 6 Month Role Overview: We're seeking an experienced Contract Data Engineer with a strong background in Databricks and cloud data platforms to support a high-impact data transformation programme. This hybrid role requires 2 days per week onsite in our Manchester office (non-negotiable) , with the remainder remote. You'll join … paced, delivery-focused data team responsible for building and optimising scalable, production-grade data pipelines and infrastructure. Key Responsibilities: Design and implement robust, scalable ETL/ELT pipelines using Databricks and Apache Spark Ingest, transform, and manage large volumes of data from diverse sources Collaborate with analysts, data scientists, and business stakeholders to deliver clean, accessible datasets Ensure high performance … best practices Work with cloud-native tools and services (preferably Azure ) Required Skills & Experience: Proven experience as a Data Engineer on cloud-based projects Strong hands-on skills with Databricks , Apache Spark , and Python or Scala Proficient in SQL and working with large-scale data environments Experience with Delta Lake , Azure Data Lake , or similar technologies Familiarity with version control More ❯

Lead Data Engineer, £ 70000 - 80000 + benefits. SQL, ETL, Data Warehousing, Databricks etc. Home Based with one day a month at the office in Nottingham. Expanding SaaS product company are looking for a Lead Data Engineer as they continue to grow. In this hands-on role you will be part of the team responsible for designing, creating, deploying and managing More ❯

native data solutions? We're recruiting on behalf of a dynamic organisation in Leeds that's investing in its data platform - and they're looking for someone with strong Databricks expertise to join their team. About the role: Designing and developing robust data pipelines using Azure Data Factory, Databricks, and Synapse Analytics. Working with Delta Lake and Azure Data Lake … Azure-based architecture Ensuring best practices in data governance, security, and performance tuning Requirements: Proven experience with Azure Data Services (ADF, Synapse, Data Lake) Strong hands-on experience with Databricks (including PySpark or SQL) Solid SQL skills and understanding of data modelling and ETL/ELT processes Familiarity with Delta Lake and lakehouse architecture A proactive, collaborative approach to problem … innovation Benefits: Competitive salary up to £65,000 Flexible hybrid working (2 days in the Leeds office) Generous holiday allowance and pension scheme Ongoing training and certification support (Azure, Databricks, etc.) A supportive, inclusive team culture with real opportunities for growth Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must More ❯

for the platform, developing API services, and ensuring the integration of ML models into the live environment. What you'll be responsible for: Develop and maintain API services using Databricks and Azure. Implement and manage Azure Cache (Redis) and Azure Redis. Utilize Databricks Delta Live tables for data processing and analytics. Integrate the platform with Snowflake for data storage and … and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving skills and More ❯

standards and solve issues quickly. Strong communication and collaboration are key to this role. Key Responsibilities Own and manage QA processes for data pipelines, campaign outputs, and reporting across Databricks, SQL Server, Looker, and QuickPivot Build automated tests to catch data issues early and ensure clean, reliable data throughout workflows Test all changes and new development before they go live … issues clearly to different teams Leadership: Strong sense of ownership, team mentorship experience, and a proactive approach to solving problems Technical Skills: Skilled in Python and SQL; experienced with Databricks Data Lake, SQL Server, or MySQL Tools: Hands-on experience with Databricks, SQL Server, Looker, and QlikView/Qlik Sense Data Understanding: Familiar with ad tech, campaign measurement, audience targeting More ❯

Azure Data Platform Engineer, you will be responsible for:- Designing, building, and maintaining scalable data solutions on Microsoft Azure. Designing and implementing scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other Azure services. Leading technical workstreams and supporting project delivery. Acting as the subject-matter expert for cloud-based data engineering. Ensure data governance, security, and compliance … maintain best practices. If you possess a combination of some of the following skills, then LETS TALK! Proven experience with Azure data services (SQL, Data Factory, Data Lake, Synapse, Databricks, Azure SQL and Cosmos DB). Strong proficiency in designing and operating scalable data solutions and pipelines. Platform engineering - Terraform Familiar with Cloud security, performance optimisation and monitoring tools (Azure More ❯

required - used to interacting with clients and working on large-scale projects Knowledge of a selection of the following technologies including hands on experience is preferable: Python Pandas, Azure Databricks, Alteryx, Microsoft Power Platform (PowerAutomate & PowerBI) Proven high quality delivery and attention to detail Experience working as a team and leading project teams or workstreams Willingness to build career within … for complex problems independently Ability to translate complex requirements to technology specialists and business analysts Experience of at least 1 of the following technologies/languages: Python Pandas, Azure Databricks, Alteryx, Microsoft Power Platform (PowerAutomate & PowerBI) Experience solving business issues using one of the above technologies Additional Desired Skills Understanding of the VAT reporting lifecycle and the data used throughout More ❯

Business Intelligence Analyst - Walsall Salary up to 45,000 per annum On-site working! A Business Intelligence Analyst is required for a client based in Walsall. The position involves transforming raw data into actionable insights to support business decisions and More ❯

Business Intelligence Analyst - Walsall Salary up to £45,000 per annum On-site working! A Business Intelligence Analyst is required for a client based in Walsall. The position involves transforming raw data into actionable insights to support business decisions and More ❯

customer-facing reports. You will optimise the transformation pipeline from start to finish, guaranteeing that datasets are robust, tested, secure, and business-ready. Our data platform is built using Databricks, with data pipelines written in PySpark and orchestrated using Airflow. You will be expected to challenge and improve current transformations, ensuring they meet our performance, scalability, and data governance needs. … end-to-end data quality, from raw ingested data to business-ready datasets Optimise PySpark-based data transformation logic for performance and reliability Build scalable and maintainable pipelines in Databricks and Airflow Implement and uphold GDPR-compliant processes around PII data Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets as fit for consumption Put … Help shape our approach to reliable data delivery for internal and external customers Skills & Experience Required Extensive hands-on experience with PySpark, including performance optimisation Deep working knowledge of Databricks (development, architecture, and operations) Proven experience working with Airflow for orchestration Proven track record in managing and securing PII data, with GDPR compliance in mind Experience in data governance processes More ❯

experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on experience. ETL Tools such as Azure Data Fabric (ADF) and Databricks or similar ones. Data Lakes: Azure Data, Delta Lake, Data Lake or Databricks Lakehouse. Certifications: AWS, Azure, or Cloudera certifications are a plus. To be considered for this role you More ❯

in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led … classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset Bundles (DAB) for More ❯

in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What's in it for you? You'll be joining a collaborative, supportive team with a real passion for data-led … classification, regression, forecasting, and/or NLP Analytical mindset with the ability to present insights to both technical and non-technical audiences Experience deploying and maintaining ML pipelines within Databricks Comfortable working with AWS data services and modern data architectures Experience with CI/CD pipelines and code versioning best practices Preferred skills: Familiarity with Databricks Asset Bundles (DAB) for More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially a 3-month … week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform using batch and streaming processes, adhering … and Skills: * Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions. * Strong understanding of SQL, database design, and data architecture. * Experience with Databricks and/or Spark. * Knowledgeable in data governance, data cataloguing, data quality principles, and related tools. * Skilled in data extraction, joining, and aggregation tasks, especially with big data and real More ❯

AI-enabled applications. Key Responsibilities: Develop robust, scalable applications using Python , APIs, and async processing techniques Collaborate with cross-functional teams on system architecture, design, and implementation Work with Databricks or Microsoft Fabric to manage big data workflows Utilize Azure Cloud services (Data Lake, Functions, App Services) for development and deployment Implement and maintain containerized solutions using Docker and CI … Ensure applications meet performance, reliability, and scalability requirements Required Skills & Experience: 2+ years of Python development experience with strong knowledge of APIs, data structures, and asynchronous programming Experience with Databricks or Microsoft Fabric Proficiency in Azure cloud services including Data Lake, Functions, and App Services Strong understanding of Docker , CI/CD workflows, and automation pipelines Familiarity with MLOps tooling More ❯

pricing actions. Collaborate with cross-functional teams to deliver the platform in an agile manner. Provide guidance on the implementation and management of Azure Cache (Redis), Postgres, Azure Redis, Databricks Delta Live tables, and Snowflake. Ensure the platform supports microservices and API-driven architecture with sub-2-second calls. Develop and maintain documentation, architecture diagrams, and other technical artifacts. Manage … What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Experience in Data (Delta) Lake Architecture (Azure). Excellent problem-solving More ❯

Location: Central London (Hybrid - 3 days in office) Salary: Up to £74,000 per annum Contract Type: Fixed Term (18 months) Are you a visionary Data Architect ready to shape the future of data in a world-renowned cultural institution More ❯

Location: Central London (Hybrid - 3 days in office) Salary: Up to £74,000 per annum Contract Type: Fixed Term (18 months) Are you a visionary Data Architect ready to shape the future of data in a world-renowned cultural institution More ❯

Location: London (Hybrid - 3 days in office) Salary: Up to £74,000 per annum Contract Type: Fixed Term (18 months) Are you a visionary Data Architect ready to shape the future of data in a world-renowned cultural institution? We More ❯

technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties … engineers, helping to mentor and coach the team. Manage the adoption of automated CI/CD pipelines. Implement a new delivery roadmap. Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience). Cost optimisation. Establish data governance frameworks for secure handling of delivery information. Requirements … Manager: 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams. Deep knowledge of the Databricks platform. Hands on Python development experience. SQL optimisation. Experience with large scale data pipeline optimisation. Experience with Streaming and Batch Spark workloads. Strong people management skills. Role: Data Engineering Manager More ❯

edge data and analytics solutions. In this strategic and hands-on role, you'll lead technical teams and architect enterprise-grade solutions using the Microsoft Azure data stack (plus Databricks, Power BI, Synapse, and more). You'll take the lead in designing scalable data platforms, influencing decision-makers at all levels, and ensuring high-quality outcomes across the full … Factory, Synapse, Power BI) Strong SQL and modern data architecture experience Ability to lead teams and engage with C-level stakeholders Bonus points for experience with Microsoft Fabric or Databricks To speak in absolute confidence about this opportunity please contact Jess Ritchie, IT Recruitment Consultant at MCS Group or click the apply button below. If this position is not right More ❯

We're undertaking a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, and we are growing our data engineering capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and review data models, iterate on … practice. A strong attention to detail and a curiosity about the data you will be working with. A strong understanding of Linux based tooling and concepts. Strong experience with Databricks and/or Spark. Experienced with data governance, data cataloguing, data quality principles, and associated tools. Understanding of data extraction, joining, and aggregation tasks, especially on big and real-time More ❯

reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯

reusable, curated datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and … Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration, and real-time analytics. - Ability to influence executive stakeholders and communicate complex ideas clearly. - Strong leadership and organizational change skills. More ❯