76 to 100 of 612 Databricks Jobs in the UK

data. Basic understanding of common machine learning techniques and ability to implement them in Python. Exposure to Azure ecosystem (e.g., Azure Machine Learning, Azure Blob Storage, Azure Synapse, or Databricks on Azure) is desirable. Familiarity with version control and collaborative coding workflows (e.g., Git, Azure DevOps). Experience with Power BI or similar tools to produce interactive dashboards or visualisations. More ❯

Databricks is seeking a strategic and dynamic Senior Partner Marketing professional with experience in high-growth SaaS companies to lead partner marketing initiatives across the EMEA region. You will be responsible for developing, executing, and optimizing complex partner marketing strategies across the EMEA region to drive joint pipeline, revenue, and customer success by collaborating with a diverse ecosystem of partners … and other communication events. Leverage the global marketing team to equip partners with marketing resources (campaigns in a box), enablement tools, and training that empower them to effectively promote Databricks offerings in the market. Ensure consistent messaging and positioning in all partner-led activities. Pipeline Development and ROI Identify pipeline opportunities and drive regional initiatives through co-marketing efforts. Manage … with the ability to influence cross-functional teams. Education: Bachelor's degree in Marketing, Business, or a related field required; Master's degree or MBA is a plus. 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 More ❯

Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As a … Start-up Account Executive at Databricks, you will focus on acquiring new logos to grow our presence in South Africa. As a successful candidate, you are a self-starter who understands how to generate pipeline and manage full sales cycles. You have experience with the consumption business, you know how to sell innovation and value to new prospective customers, identify … customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to prospects Promote the value of the Databricks' Data Intelligence Platform Ensure 100% satisfaction among all customers What we look for: Experience penetrating new accounts, executing on first use cases, growing initial consumption and closing deals in a More ❯

Databricks is hiring an experienced IT Support Specialist to help scale and optimise our business processes, working with users globally to improve productivity and provide in-person service at our London office by resolving an array of technical issues. You will be a vital member of the IT Support team and ensure the best possible user experience is provided in … when dealing with users who may be frustrated or stressed due to technical issues. Empathy: Understanding and acknowledging users' concerns and frustrations and showing compassion toward their situation. 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 Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet More ❯

Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are … looking for a creative, delivery-oriented Named Enterprise Account Executive to maximise the phenomenal market opportunity that exists for Databricks in Qatar. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth … details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients Build and demonstrate value with all engagements to guide successful negotiations to close point More ❯

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basisand in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Data Engineer, you … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Data Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform More ❯

Senior Databricks Data Engineer (flexible location) Bibby Financial Services have an exciting opportunity available for a reliable Senior Databricks Data Engineer to join our team. You will join us on a full time, permanent basis and in return, you will receive a competitive salary of £60,000 - £70,000 per annum. About the role: As our Senior Databricks Data Engineer … coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Data Engineer will include: Understand the business/product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives … databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Data Engineer: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Alternatively, relevant experience in the data engineering field Databricks, including Unity Catalog Terraform More ❯

practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure, AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. More ❯

practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure, AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. More ❯

practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure, AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. More ❯

Skills/Must have: Extensive hands-on experience as a Data Engineer working across both on-prem and cloud data platforms. Strong expertise in Azure Data Factory (ADF), Snowflake, Databricks, and Python. Proficiency in SQL and debugging data workflows across hybrid environments. Deep understanding of data modelling, warehousing concepts, and performance tuning. Excellent communication and collaboration skills. Salary: £500 per More ❯

or Azure DevOps . Excellent communication skills and stakeholder engagement capabilities. Nice to Have Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to cloud platforms (e.g., Databricks , Snowflake ). Understanding of data governance , lineage , and metadata management . Experience with data cataloguing and quality frameworks . More ❯

supporting automated workflows in Alteryx Designer. Experience deploying workflows to the Production Gallery. Knowledge of database fundamentals, data design, SQL, and data warehouse concepts is beneficial. Exposure to PowerBI, Databricks, Azure, and Profisee is advantageous. Knowledge of Json, Python, XML, and R is a plus. Experience with non-relational and unstructured data is beneficial. Familiarity with Azure DevOps or GitHub More ❯

engineering or a related field, with a focus on building scalable data systems and platforms. Strong expertise with modern data tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least More ❯

supporting automated workflows in Alteryx Designer. Experience deploying workflows to the Production Gallery. Knowledge of database fundamentals, data design, SQL, and data warehouse concepts is advantageous. Exposure to PowerBI, Databricks, Microsoft Azure, and Profisee is a plus. Knowledge of Json, Python, XML, and R is beneficial. Experience with non-relational databases and unstructured data is advantageous. Familiarity with Azure DevOps More ❯

Strong DAX skills and the ability to write/optimise complex T-SQL queries. • Experience in applying AI tools to enhance analytics or business operations (desirable). • Familiarity with Databricks, and predictive analytics is beneficial. • Experience with Python for forecasting or scenario modelling. • Experience in insurance or financial services is an advantage. • Excellent analytical and problem-solving capabilities. • Strong communication More ❯

in: Data modeling and database design (SQL & NoSQL) Cloud-based architecture on Azure (required), and familiarity with AWS Microsoft Fabric and Logic Apps Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. More ❯

build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data More ❯

R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming More ❯

Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data More ❯

Python capabilities - minimum 2-3 years hands-on experience Comprehensive Data Engineering background - proven track record in enterprise data solutions Experience with ETL processes and data transformation, preferably using Databricks Strong foundation in Data Warehousing architectures and dimensional modeling Familiarity with batch processing from relational database sources Communication & Collaboration Skills of the Data Engineer Outstanding stakeholder engagement abilities across technical More ❯

firm Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design More ❯

firm Modeling data for a civil service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design More ❯

will specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You will work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, Power BI, Databricks, Azure DevOps, OpenAI, and more. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative, fast-paced, and centered around More ❯

more junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to: MS Fabric Databricks Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift More ❯