126 to 150 of 1,087 Databricks Jobs in the UK excluding London

Databricks Capability Lead Department: Delivery Employment Type: Full Time Location: Bristol, UK Reporting To: Tom Bruce Compensation: £100,000 - £120,000/year Description The headlines Role - Databricks Capability Lead Salary - £100,000-£120,000 (DOE) Location - Hybrid; aiming to be on-site 2-3 days per week in our … This is a rare opportunity to be at the forefront of cloud data engineering and play a pivotal role in building and scaling our Databricks capability. You'll lead client engagements, influence company growth, and guide the evolution of our service offerings. This role blends leadership and technical proficiency. We … technical teams and non-technical stakeholders. What you'll be doing Commercial Leadership & Strategy You'll define and lead the development of our internal Databricks capability You'll stay ahead of market trends, ensuring our offerings and accelerators remain competitive and innovative You'll collaborate with Databricks on a partnership More ❯

Proven experience in a commercial data science role, ideally leading projects or a small team Strong Python and SQL skills, ideally with Azure tools (Databricks, Data Factory) Excellent communication, especially with non-technical stakeholders A business-first mindset and a passion for solving real-world problems Natural collaboration skills and More ❯

is optimising their digital platform, where even small speed improvements can significantly boost online revenue. Backed by strong tech infrastructure, including a cutting-edge Databricks platform, they’re aiming to lead the retail tech space in the UK. THE ROLE This greenfield role focuses on customer analytics, with key metrics More ❯

Proven experience in a commercial data science role, ideally leading projects or a small team Strong Python and SQL skills, ideally with Azure tools (Databricks, Data Factory) Excellent communication, especially with non-technical stakeholders A business-first mindset and a passion for solving real-world problems Natural collaboration skills and More ❯

record of leading a Data Architecture team on multi-vendor programmes and matrix led engagements. Strong knowledge of Data technology and concepts, including Azure Databricks, Dynamics 365, Microsoft Fabric, data pipelines, data security, MDM, data cataloguing, ML/AI & Analytics . Demonstrable knowledge of data & digital innovation trends, for example More ❯

methods. Expertise in databases, database architecture, SQL, and stored procedures. Strong background in data integration technologies such as Azure Data Factory, Apache Airflow, and Databricks AutoLoader. Proficiency in building CI/CD pipelines and implementing infrastructure as code. Experience with event-driven data flows and message aggregation technologies (Event Hub More ❯

expert working with databases and database architecture, SQL and Stored Procedures · Proven experience with Data integration technologies such as Azure Data Factory, Apache airflow, Databricks AutoLoader · Ability to build CI/CD pipelines and infrastructure as code · Experience with event driven data flows and message aggregators (Event Hub, Apache Kafka More ❯

expert working with databases and database architecture, SQL and Stored Procedures · Proven experience with Data integration technologies such as Azure Data Factory, Apache airflow, Databricks AutoLoader · Ability to build CI/CD pipelines and infrastructure as code · Experience with event driven data flows and message aggregators (Event Hub, Apache Kafka More ❯

publishing articles, and presenting at external events. What you'll need to succeed Expertise in data warehousing, cloud analytics, and modern data architectures (Snowflake, Databricks, Matillion, Power BI, or similar). Proven ability to engage and influence senior stakeholders , providing strategic guidance and technical leadership. Strong consulting and client management More ❯

intelligence or software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/ More ❯

matter expert and trusted advisor for business-critical application support. Monitor, maintain, and troubleshoot cloud-hosted platforms (primarily Azure) and integrations with tools like Databricks and Datalake. Manage third-line escalations, documenting incidents and ensuring timely resolution in line with SLAs. Support mobile device management and security compliance via Intune More ❯

with the latest tools and techniques. A deep understanding of Azure components. Key areas: API Management Azure SQL and MI Functions Networking Data Factory Databricks Identity Management (Entra) Proven experience with pipeline creation/management, specifically in Azure DevOps (ADO). Solid understanding of Terraform. HELM. Advantageous: Healthcare or Government More ❯

with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on experience More ❯

Senior Data Engineer Location: London | Hybrid Tech Stack: Azure | Synapse | Databricks | Power BI Cloud Focus: Cloud-native + hybrid integration Salary: £80,000 - £100,000 + 20% bonus We’re hiring a Senior Data Engineer on behalf of a global financial services firm undergoing large-scale digital and cloud transformation. … practices. Support and mentor engineers, and contribute to code reviews and standards. What You Bring Strong hands-on experience with Azure Data Factory, Synapse, Databricks, and Power BI . Solid SQL and DAX skills; basic Python for Spark environments is a plus. Experience building pipelines in a lakehouse architecture with More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

self-sufficiency. Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and … effective solutions that drive customer value Guide customers on system and data architecture, including best practice integrations with CDW’s such as Snowflake and Databricks Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers Technical Problem Solving: Assist … one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB) Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery Proven ability to manage technical project delivery, including scoping, planning, and risk assessment Strong organisational skills to oversee multiple concurrent customer projects Adaptability More ❯

using Microsoft technologies, such as Azure Data Factory, Synapse, and Power BI, or other ETL tools. Familiarity with advanced platforms like Microsoft Fabric or Databricks is strongly preferred. Experience leading multidisciplinary technical teams, including architects, engineers, and analysts, to deliver data-centric projects. Advanced proficiency in SQL or its extensions … data architecture, engineering, or analytics, with a proven history of delivering solutions such as data warehousing, operational reporting, or business intelligence systems. Azure or Databricks certifications are a plus. More ❯

from home) Pension contribution Referral bonus scheme Great opportunities for career progression Role & Responsibilities Design and deliver solutions utilising MS Fabric, ADF, Synapse, Databricks, SQL, and Python. Work closely with a variety of clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities … and training the data engineering function. What do I need to apply Strong MS data engineering expertise (Fabric, ADF, Synapse, SQL) Expert use of Databricks Python experience Consultancy experience Mentorship experience My client are looking to book in first stage interviews for next week and slots are already filling up More ❯

The Skills You'll Need: IT skills, technical engineering, big data processing, cloud architecture focused on Microsoft Azure Your New Salary: £19 p/h - £34 p/h Location: West London, Weybridge Duration: 4-month assignment from 01/ More ❯

Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through advanced technology? If so, we have an incredible opportunity for … external data integrations. Ensure Data Security: Apply protocols and standards to secure clinical data both in-motion and at-rest. Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities Data Engineering with Databricks: Design and … ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

very large datasets. You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will … risk, etc.). Essential Requirements: 2+ years of experience in MLOps and at least 3 years in AI/ML engineering. Knowledge in Azure Databricks and associated services. Proficiency with ML frameworks and libraries in Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and … GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and More ❯

Title: Data Solution Architect Azure, Databricks, Microsoft Fabric Location: Coventry (Hybrid 3 days onsite/week) Day Rate: £600-£650 Start Date: ASAP Client: Confidential Major UK Utilities Programme Clearance: Right to work in the UK The Role We are hiring 2x experienced Data Solution Architects to lead a critical … historical datasets from systems such as SCADA, SAP, and IoT telemetry. Your primary focus will be delivering modern cloud-native data platforms across Azure, Databricks, Microsoft Fabric , with governance and streaming at scale. This is a hands-on architecture roledriving design, implementation, and platform optimisation. Why Join? Make an impact … infrastructure and data innovation Shape enterprise architecture in SCADA, IoT, AI/ML, and telemetry systems Lead critical platform design across Microsoft Azure and Databricks ecosystem Key Responsibilities Architect secure, scalable data solutions using Azure, Databricks, Microsoft Fabric Lead integrations across SCADA, SAP PM, telemetry, GIS, APIs, and legacy data More ❯

the design, development, testing, implementation, and maintenance of data-driven software solutions. The ideal candidate will possess expert-level knowledge of Python, C#, .NET, Databricks, and Azure, ensuring alignment with business objectives. They will identify and champion innovation in technology and processes to unlock new commercial opportunities. Collaborating closely with … latitude in decision-making. Key responsibilities include migrating an existing Python-based reporting/analytics application and its data workflows from Azure SQL to Databricks, creating and optimizing data pipelines in Databricks, and leveraging scheduling, job orchestration, and optionally machine learning features to serve trading and analytics needs. The Senior … code (e.g., data structures, error handling, code optimization). Proficiency in SQL – comfortable designing databases, writing complex queries, and handling performance tuning. Experience with Databricks (or a comparable Spark environment) – ability to build data pipelines, schedule jobs, and create dashboards/notebooks. Experience with Azure services (Data Factory, Synapse, or More ❯

Transformation & Modeling One essential aspect of working with data in ADLS is the transformation and modeling process. Companies can leverage Azure Data Factory or Databricks, using languages like PySpark and Scala , to create efficient data processing and transformation workflows. These workflows are designed to handle both batch and streaming data More ❯