26 to 50 of 551 Databricks Jobs in England

SQL skills, including data transformation and profiling. Experience building scalable production ETL/ELT pipelines. 1-2 years of hands-on experience with Azure services such as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI More ❯

with designing efficient physical data models/schemas and developing ETL/ELT scripts Some experience developing data solutions in cloud environments such as Azure, AWS or GCP - Azure Databricks experience a bonus 30 minute video interview with the People & Operations Team 45 minute technical video interview with one of our Senior Data Engineers Final interview with our Partner, Head More ❯

fit if you have: Expertise in Cloud-Native Data Engineering: 3+ years building and running data pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake). Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale. Modern Data Pipelines: Experience with More ❯

every day at Databricks. We are looking for a creative, execution-oriented Enterprise Account Executive to join the UKI team to maximise the phenomenal market opportunity that exists for Databricks within the Energy industry. Your mission will be to grow one of our most strategic energy customers. Experience selling to this sector is essential, as is experience in running large … complex multi-national accounts. Reporting to the Senior Director of Energy and Utilities in the UK, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Data, Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional …/annual usage and booking goals You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement More ❯

to architectural decisions, and support the migration of reporting services to Azure. Key Responsibilities: Design, build, and maintain ETL pipelines using Azure Data Factory , Azure Data Lake , Synapse , and Databricks . Design and build a greenfield Azure data platform to support business-critical data needs. Collaborate with stakeholders across the organization to gather and define data requirements. Assist in the 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 ❯

the ability to influence at both technical and senior stakeholder levels. Desirable Skills: Familiarity with data visualisation tools (e.g., Power BI, Tableau). Exposure to platforms such as Quantexa, Databricks, or Palantir. Experience building machine learning pipelines or working on data science applications. Knowledge of test automation and CI/CD for data workflows. This is a unique opportunity to More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with More ❯

Azure ML, Cognitive Services) Solid understanding of SQL, REST APIs, and cloud data integration Familiarity with Python, R, or similar scripting languages Bonus points for experience with Azure Synapse, Databricks, or Power Apps Microsoft certifications (PL-300, DP-203, AI-900) are a plus Benefits : Salary up to around £60,000 depending on experience 10% annual bonus Pension with 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 ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's Fundamental knowledge of ML, and basic knowledge of More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM DataStage Strong analytical and technical skills Good communication skills, both verbal and written, with experience working closely with business users Experience in the hospitality industry is beneficial WHAT'S More ❯

of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with More ❯

principles and experience with relevant tools e.g., Azure DevOps, Git, Terraform for CI/CD, automation, and infrastructure management. Experience with cloud technologies, particularly Azure, including services such as Databricks, Event Hubs, Function Apps. Versatility and passion for using and learning multiple technologies across the engineering landscape for problem-solving and troubleshooting to identify and resolve data engineering issues. Knowledge More ❯

The Product Security Team's mission is to Left-shift SDLC (Security Development Lifecycle) processes for ALL code written in Databricks (for Customer Use or Supporting Customer internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services. You will be an individual contributor on the product … security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident. You will work with a global … Work on DAST tools and related automation for auto-assessment and defect filing. Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into - FedRamp, PCI, HIPPA, etc. Prioritize security from a risk management perspective, rather than an absolute textbook version. Help develop and implement security processes to improve More ❯

with CI/CD pipelines and modern software engineering practices. Power BI knowledge is required (with more focus on the backend integration than dashboarding). Nice to haves: Azure Databricks Microsoft Fabric Experience migrating from on-prem SQL/SSIS to cloud-based solutions Experience in maintaining and optimizing enterprise data warehouses If this role sounds like your next career More ❯

to prototype development and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business needs into technical requirements Experience of liaising effectively More ❯

Experience with network-centric datasets (fiber, GPON, ethernet, Wi-Fi telemetry). • Exposure to streaming technologies (Kafka, Event Hubs) and real-time analytics. • Knowledge of Machine Learning Ops (MLflow, Databricks). Deadline: ASAP Contract Type: Full Time Location: London Interested? The full job specification can be downloaded at the link below. Job Description To apply, please complete the form below More ❯

public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent More ❯

public sector setting. Strong programming skills: Python, R, SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). More ❯