1,226 to 1,250 of 1,460 Databricks Jobs in England

link. Salary: 40,000 - 70,000 GBP per year Requirements: Proficient in SQL and Python Familiarity with data manipulation and reporting tools such as DataBricks Experience with ERP front-end systems is a plus Strong communication skills, especially in conveying complex ideas 108 E 16th Street, New York, NY More ❯

role, you'll provide high-quality application development and systems support, helping to maintain and evolve platforms like Salesforce, SQL Server, Azure (IaaS & PaaS), Databricks , and more. You'll play a key part in supporting internal teams and customers by: Leading application releases, upgrades, and incident resolution Maintaining automation and More ❯

TOGAF/Zachman) and cloud migration. Proficiency with IaC (Bicep), scripting (PowerShell), DevOps, and Entra ID. Hands-on experience with services like App Services, Databricks, Key Vault, and more. What's On Offer: 25 days holiday + bank holidays Matched pension (up to 5%) Private healthcare (partner & dependants optional) Remote More ❯

into the sales org. Every ramped rep meeting quota in year one. Top performer at 200%. Hired Reps from leading reps from Astronomer, Databricks, Imply and Dremio. CRO, CMO, BDR team, Presales and Customer Success in place. Closed logo in the Fortune 10 list. 50+ Enterprise customers (Figma, LinkedIn More ❯

enterprise-level data and AI solutions. Additionally, you will have experience in: Building and managing medallion architecture, MLOps and advanced analytics solutions Knowledge of Databricks and how it can be a part of a modern data architecture Knowledge of automation frameworks to integrate small-scale and enterprise-level AI solutions More ❯

Create both High Level Design and Low-Level Design documents (must have). Understanding of enterprise architecture frameworks (must have). Experience of implementing Databricks and Data Warehouse solutions (must have). Expertise in integration architecture and design patterns. Protocols and formats SOA, Rest, JSON, XML, etc. Identity and Access More ❯

platforms Proven success in demand generation and field marketing Experience in data integration tools (e.g. Informatica, Alteryx) is a plus Familiarity with Snowflake or Databricks Strong project management, communication, and organisational skills Ability to manage complex marketing programs and budgets Tools knowledge: Salesforce, Eloqua, Google Suite, Cvent or other event More ❯

platforms Proven success in demand generation and field marketing Experience in data integration tools (e.g. Informatica, Alteryx) is a plus Familiarity with Snowflake or Databricks Strong project management, communication, and organisational skills Ability to manage complex marketing programs and budgets Tools knowledge: Salesforce, Eloqua, Google Suite, Cvent or other event More ❯

Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases … anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter More ❯

Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases … anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter More ❯

Zip to manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we're focused on More ❯

Zip to manage billions of dollars in spend. We're a fast-growing team that helped scale category-defining companies like Airbnb, Meta, Salesforce, Databricks, Apple, Google, and Ramp. With a $2.2 billion valuation and $370 million in funding from Y Combinator, BOND, DST Global, and CRV, we're focused More ❯

vision: We raised $104 million in funding from Menlo Ventures, Notable Capital, Khosla Ventures, General Catalyst, and Founders Fund. Venture vehicles of Snowflake and Databricks invested in Neon. Our angel investors are prominent technologists, and ecosystem players. More than 20 awesome angels supported Neon, including Nat Friedman, Elad Gil, Mike More ❯

to lead their data initiatives and drive the transformation of their data infrastructure. This role will focus on unlocking value through the use of Databricks, Power BI, and SSRS, with a strong emphasis on leveraging AI and the full capabilities of these platforms. The ideal candidate will have a proven … Leadership: Develop and execute a comprehensive data strategy that aligns with the company's goals and objectives, focusing on the integration and optimisation of Databricks, Power BI, and SSRS. Data Management: Oversee the design, implementation, and maintenance of robust data architectures and pipelines to ensure data quality, integrity, and accessibility. … the adoption and integration of AI technologies to enhance data analytics capabilities and unlock new opportunities for innovation and efficiency Particularly focussed on the Databricks technology. Collaboration: Work closely with cross-functional teams, including IT, senior management, and business units, to understand data needs and deliver tailored solutions. Team Leadership More ❯

to lead their data initiatives and drive the transformation of their data infrastructure. This role will focus on unlocking value through the use of Databricks, Power BI, and SSRS, with a strong emphasis on leveraging AI and the full capabilities of these platforms. The ideal candidate will have a proven … Leadership: Develop and execute a comprehensive data strategy that aligns with the company's goals and objectives, focusing on the integration and optimisation of Databricks, Power BI, and SSRS. Data Management: Oversee the design, implementation, and maintenance of robust data architectures and pipelines to ensure data quality, integrity, and accessibility. … the adoption and integration of AI technologies to enhance data analytics capabilities and unlock new opportunities for innovation and efficiency Particularly focussed on the Databricks technology. Collaboration: Work closely with cross-functional teams, including IT, senior management, and business units, to understand data needs and deliver tailored solutions. Team Leadership More ❯

A highly-successful Data Consultancy are seeking a number of ambitious Databricks Data Engineers to join their team. They are both a Microsoft Partner and a Databricks Partner, and are experts in helping their clients to better manage and uncover the value in their data. They pride themselves on developing More ❯

will work on exciting projects with cutting-edge technologies and lead and shape the organization’s data strategy. What You Will Be Doing Leveraging Databricks, Azure Synapse, and Power BI, you will drive the development of scalable data solutions while ensuring a culture of learning and excellence. You will build … and cloud technologies. Key Responsibilities Lead Data Initiatives: Manage and oversee data engineering and analytics projects, ensuring alignment with business objectives. Data Engineering: Utilize Databricks for data transformation, analytics, and machine learning workflows. Orchestrate with Synapse: Build and maintain workflows using Azure Synapse and related tools. Implement CI/CD … project management, code repositories, and automation. Requirements 5+ Years experience in the Data and Analytics Domain. Previous Management experience is preferred. Strong expertise in Databricks (Spark, Delta Lake, Notebooks). Advanced knowledge of SQL development. • Familiarity with Azure Synapse for orchestration and analytics. Working experience with Power BI for reporting More ❯

will work on exciting projects with cutting-edge technologies and lead and shape the organization’s data strategy. What You Will Be Doing Leveraging Databricks, Azure Synapse, and Power BI, you will drive the development of scalable data solutions while ensuring a culture of learning and excellence. You will build … and cloud technologies. Key Responsibilities Lead Data Initiatives: Manage and oversee data engineering and analytics projects, ensuring alignment with business objectives. Data Engineering: Utilize Databricks for data transformation, analytics, and machine learning workflows. Orchestrate with Synapse: Build and maintain workflows using Azure Synapse and related tools. Implement CI/CD … project management, code repositories, and automation. Requirements 5+ Years experience in the Data and Analytics Domain. Previous Management experience is preferred. Strong expertise in Databricks (Spark, Delta Lake, Notebooks). Advanced knowledge of SQL development. • Familiarity with Azure Synapse for orchestration and analytics. Working experience with Power BI for reporting More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on … shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured pipeline design 🔹 Contributing to … Mentoring junior engineers and supporting team capability development What You Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with More ❯

Location: London, Hybrid 💰 Rate: Up to £600 per day 📆 Contract: 6 months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on … shape the data backbone of a next-gen consultancy. What You’ll Be Doing: 🔹 Designing and implementing cloud-native data pipelines using Azure and Databricks 🔹 Building clean, governed data layers for ML, analytics, and application use 🔹 Supporting LLM/AI data workflows through structured and unstructured pipeline design 🔹 Contributing to … Mentoring junior engineers and supporting team capability development What You Need: ✔ 5+ years in data engineering or backend cloud development ✔ Strong Python, SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with More ❯

DIC, Edge, Lineage Harvester, and DQ&O). This role requires expertise in cloud computing, data management, and platform automation, with specific knowledge of Databricks, MS Azure, Terraform, and API integration. As part of a global, cross-functional team of technology and data experts, this role collaborates globally to ensure … Working in terminals with Shell commands to manage the platform and VMs. Work with data engineers to facilitate data integration to systems such as Databricks, Azure Synapse, Power BI, & GCP Big query. Configure and manage Collibra communities/domain, workflows, data lineage, and business glossaries. Work with business SMEs and … Science, Software Engineering, or equivalent professional experience. 4+ years of experience engineering and delivering enterprise scale data solutions, with examples in the cloud (especially Databricks, Azure, and GCP) strongly preferred. 4+ years of experience administering a Data Governance platform, with hands-on experience in Collibra. Additional Skills/Preferences Collibra More ❯

an impact, and shape the future of technology. The Role: As a Data Engineer, you'll design, develop, and optimise data pipelines on a Databricks-based platform, Symphony. You'll collaborate with teams to create scalable data solutions, ensuring efficient data ingestion, transformation, and analysis. Responsibilities: Design and maintain scalable … engineering contributions to the delivery process, manage tasks, and update teams on progress. Skills & Experience: Proven experience as a Data Engineer with expertise in Databricks, Hadoop/Spark. Strong programming skills in Python, Scala, or SQL, with knowledge of CI/CD platforms. Proficiency with distributed computing frameworks and cloud More ❯

technical knowledge with a strong understanding of the insurance and asset management landscape. Key Responsibilities: Architect scalable and secure data platforms using Microsoft Azure , Databricks , and modern lakehouse patterns. Design and implement data solutions aligned with the needs of Tier 1 and Tier 2 insurance and asset management clients , considering … Essential Criteria: Extensive experience as a Senior Data Architect or Lead Data Engineer , ideally within consulting or large enterprise environments. Proven expertise with Azure , Databricks , and associated data tooling (e.g., Synapse, Delta Lake, Azure Data Factory). Strong understanding of data architecture within the insurance and asset management industries, including More ❯

technical knowledge with a strong understanding of the insurance and asset management landscape. Key Responsibilities: Architect scalable and secure data platforms using Microsoft Azure , Databricks , and modern lakehouse patterns. Design and implement data solutions aligned with the needs of Tier 1 and Tier 2 insurance and asset management clients , considering … Essential Criteria: Extensive experience as a Senior Data Architect or Lead Data Engineer , ideally within consulting or large enterprise environments. Proven expertise with Azure , Databricks , and associated data tooling (e.g., Synapse, Delta Lake, Azure Data Factory). Strong understanding of data architecture within the insurance and asset management industries, including More ❯

across Royal London's Enterprise Data Platform (EDP) which is being built on Azure Databricks. The EDP is a Data Lakehouse built using the Databricks Medalion architecture and consists of a relational core 'silver' layer with a variety of dimensional, de-normalised and relational structured data products being exposed for … tools (Idera ER/Studio or similar). Data engineering/data pipeline experience, with hands on experience on integration tools such as Azure Databricks Notebooks, Azure Data Factory or PySpark. Python extremely beneficial. About Royal London We're the UK's largest mutual life, pensions, and investment company, offering More ❯