1 to 25 of 264 DemandTrendPermanent Databricks Jobs in the UK

DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior … ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused … Tech Stack: Databricks (Primary platform - all roles) Databricks ML/MLflow AWS/Azure/GCP (Databricks deployment) Python & SQL (Databricks native) Delta Lake & Unity Catalog 💰 Package: Salary: £70k-£110k (negotiable) Performance bonus Professional certifications funded 20 dedicated development days Flexible hybrid working 📍 Location: London Ready to join this exclusive Databricks team build? Contact me directly for a confidential discussion More ❯

DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior … ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused … Tech Stack: Databricks (Primary platform - all roles) Databricks ML/MLflow AWS/Azure/GCP (Databricks deployment) Python & SQL (Databricks native) Delta Lake & Unity Catalog 💰 Package: Salary: £70k-£110k (negotiable) Performance bonus Professional certifications funded 20 dedicated development days Flexible hybrid working 📍 Location: London Ready to join this exclusive Databricks team build? Contact me directly for a confidential discussion More ❯

DATABRICKS TEAM BUILD - Multiple Senior Roles | Leading Consultancy | London | £70k-£110k + Bonus Omnis Partners is recruiting for an exclusive Databricks team build with a next-generation data and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior … ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be part of a specialist Databricks team delivering enterprise-scale data platforms and ML solutions. This is a strategic team build working closely with Databricks professional services on marquee client engagements. 🛠️ Databricks-Focused … Tech Stack: Databricks (Primary platform - all roles) Databricks ML/MLflow AWS/Azure/GCP (Databricks deployment) Python & SQL (Databricks native) Delta Lake & Unity Catalog 💰 Package: Salary: £70k-£110k (negotiable) Performance bonus Professional certifications funded 20 dedicated development days Flexible hybrid working 📍 Location: London Ready to join this exclusive Databricks team build? Contact me directly for a confidential discussion More ❯

Geo Accounts - EMC (Energy, Manufacturing and Communications) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business … our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers … opportunities and challenges. Join us in our quest to change how people work with data and make a better world! The impact you will have: Engage with some of Databricks' most complex customers to help them achieve their unified platform goals. Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts. More ❯

relevant insights. * Experience working in regulated environments such as pensions, insurance, or financial services is highly advantageous. Desirable * Exposure to actuarial modelling or financial risk analysis. * Familiarity with Azure Databricks, Synapse, or distributed computing tools. * Experience applying model explainability and responsible AI techniques. Rewards & Benefits This role offers a comprehensive and flexible benefits package designed to support wellbeing and personal More ❯

As Manager of Resident Solutions Architects at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers. You will help shape the future big data and machine learning landscape for leading Fortune 500 organizations. You will report directly to the Senior Director, Professional Services in NEMEA. Part of this role will include a people … software platform adoption in Fortune 500 organizations in markets such as: Finance, Media, Retail, Telco, Energy, and Healthcare Implement a project schedule with experience with customer engagement Experience with Databricks products, Spark ecosystem, and direct competitors Travel is required up to 10%, more at peak times. About Databricks Databricks is the data and AI company. More than 10,000 organizations … worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on More ❯

candidate. If you meet around 75% of the criteria, we’d still love to hear from you. • Strong experience with data engineering tools and platforms (e.g. Azure Data Factory, Databricks, SQL, Python). • Proven ability to engage stakeholders and present insights through data visualisation tools and storytelling. • Experience with data modelling, warehousing, and integration. • Interest in and awareness of AI More ❯

with data visualisation platforms like Tableau or Power BI Exposure to machine learning or data science application development Knowledge of modern data platform technologies such as Quantexa, Palantir, or Databricks Proficiency with open-source data tools and frameworks Experience with test automation within CI/CD pipelines Reference: AMC/RHU/LDE #ryhu More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. Data More ❯

Days Holiday, Plus Bank HolidayPrivate Medical HealthPension SchemeAnd More... For this role, they are looking for a candidate that has experience in... Extensive experience in implementing solutions around Databricks, Azure Data Factory, SQL, Python Excellent understanding of Microsoft SQL Server and data modelling,An understanding of SQL, T-SQL, ETL/ELT, and Data Pipelines.Previous exposure in a Data Engineering More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

and internal policies. What We're Looking For: Solid experience in data engineering or backend data development. Strong experience with Azure data services (e.g., Data Factory, Dake Lake, Synapse, Databricks) and tools like dbt. Proficiency in SQL and Python, with a solid understanding of data modelling and transformation. Experience integrating data from enterprise systems (CRM, ERP, HRIS). Familiarity with More ❯

or a related field Strong programming skills in Python and SQL Experience with Google Cloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS) Hands-on experience with Databricks (GCP or Azure) Experience deploying and maintaining ML models (e.g., MLflow, Vertex AI, Azure ML) Beneficial Experience with Spark and other distributed data processing frameworks Exposure to MLOps tooling for More ❯

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

hands-on experience in enterprise data engineering and Azure cloud data technologies. You must be confident working across: Azure Data Services, including: Azure Data Factory Azure Synapse Analytics Azure Databricks Microsoft Fabric (desirable) Python and PySpark for data engineering, transformation, and automation ETL/ELT pipelines across diverse structured and unstructured data sources Data lakehouse and data warehouse architecture design More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. More ❯

collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/CD pipelines. More ❯