276 to 300 of 1,529 Databricks Jobs in the UK

and logics developed as part of prototype 6. Transform data from landing/staging/transformed to synapse dimensional model. 7. Creating notebooks in Databricks for incremental data load and transformation. 8. Creating stored procedures for data load and transformation in azure synapse dedicated pools 9. Created ADF pipelines for More ❯

technical stakeholders, enabling self-service analytics. About You: Strong SQL skills with experience transforming large datasets. Experience working with cloud-based data warehouses (e.g., Databricks, Snowflake, Redshift). Ability to optimize queries and pipelines for efficiency and reliability. Bonus: Experience with dbt, Airflow, or visualization tools like Tableau. Excellent communication More ❯

and delivering data solutions focused on MS Fabric Strong ETL experience with tools such as ADF or SSIS Experience working with Azure technologies - Synapse, Databricks, Data Lake Knowledge of data architecture principles and data modelling In this role you will be required to attend the office on an ad-hoc More ❯

cloud-based, and third-party) into the Azure environment. Utilise Azure services like Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Databricks for data storage, transformation, and analysis. Core skills and experience: Previous experience acting as a Data Architect building major data changes within a regulated environment More ❯

Data visualisation (Power BI preferred) 🐍 Python experience desirable 🧱 Exposure to CDPs and cloud platforms a plus - they're launching Amperity and have an advanced Databricks environment where their single customer view and data science models sit Why This Role? 🚀 Work in a business investing heavily in data, digital, and customer More ❯

frameworks, cloud computing (especially Azure), software development concepts, and cybersecurity principles. Highly desirable experience includes: On-prem/Cloud/Hybrid environments, Azure Integration, Databricks, SQL Server, Oracle, XML, Python, Power Apps, BAIS, Digital Workflow, Process Orchestration, BPMN. Understanding of banking products, related financial instruments, and front-to-back-office More ❯

in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience More ❯

you'll be doing: Act as a trusted advisor for the UK IT Technology Team. Administer and monitor Azure App platforms and integrations with Databricks/Datalake. Document and address application issues, ensuring timely resolution. Serve as the primary UK application contact for Group IT. Provide technical expertise for projects More ❯

Ability to drive cross-functional collaboration and leadership engagement. Data-driven mindset with proficiency in reporting, dashboard and data management tools (e.g. Salesforce, PowerBI, DataBricks, Funnel.io). Benefits We offer you a challenging job in a growing and truly global international SaaS company with a competitive compensation structure. Ah, and More ❯

both technical and non-technical audiences Experience with migrating mission critical data systems from one platform to another. Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

including experience in creating and managing reports, dashboards, and troubleshooting data visualization and performance issues, along with basic understanding of Data Analytics platforms (i.e. Databricks). Proficiency in SQL is preferred for querying and wrangling data to ensure accurate and efficient report generation. Strong understanding of financial statements and consolidation More ❯

including experience in creating and managing reports, dashboards, and troubleshooting data visualization and performance issues, along with basic understanding of Data Analytics platforms (i.e. Databricks). Proficiency in SQL is preferred for querying and wrangling data to ensure accurate and efficient report generation. Strong understanding of financial statements and consolidation More ❯

of the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep understanding More ❯

in-depth knowledge of relational databases (PostgreSQL) and familiarity with data lakehouse formats (storage formats, e.g. Apache Parquet, Delta tables). Experience with Spark, Databricks, data lakes/lakehouses. Experience working with external data suppliers (defining requirements for suppliers, defining Service Level Agreements, attending joint meetings when needed). Experience More ❯

both technical and non-technical audiences Experience with migrating mission critical data systems from one platform to another. Experience with Cloud technologies like AWS, Databricks, Azure or Google Cloud technology. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering Experience with cloud-native More ❯

Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks! Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks consumption. … customers. Knowledge of the partner ecosystem to help grow Enterprise strategic territories. Success implementing strategies for consumption and commitment-based sales revenue models. 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 … 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. Benefits At Databricks, we strive to provide comprehensive benefits More ❯

to lead the build of bespoke data systems for our clients. Responsibilities: Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients realise the potential of data … science, machine learning, and scaled data processing within Azure/Databricks ecosystem. Mentor junior team members and support their personal development. Take ownership for the delivery of core solution components. Support with planning, requirements refinement and work estimation. Skills and Experiences: Design and develop end-to-end data solutions leveraging … as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements. Experience with Azure Synapse Analytics/or Azure Databricks, Microsoft Fabric, Data Factory. Expert in Python, SQL and developer tooling such as Visual Studio Code, Azure DevOps. Good experience of CI/CD practices More ❯

Senior Data Engineer | FinTech | AWS | Databricks Location: Remote (with occasional London office meet-ups) Salary: Competitive + Benefits Eligibility: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role. About the Company We are a rapidly growing, FCA-regulated FinTech company providing … work will directly impact business intelligence, analytics, and AI/ML applications. Key Responsibilities Develop and maintain scalable data pipelines using Python, SQL, and Databricks Implement ELT frameworks for transforming, enriching, and processing large datasets Design data models and optimize query performance and cost-efficiency Ensure data security, compliance, and … engineers and contribute to code reviews and best practices Skills & Experience Strong expertise in Python and SQL for data engineering Hands-on experience with Databricks, Spark, Delta Lake, Delta Live Tables Experience in batch and real-time data processing Proficiency with cloud platforms (AWS, Azure, Databricks) Solid understanding of data More ❯

Senior Data Engineer | FinTech | AWS | Databricks Location: Remote (with occasional London office meet-ups) Salary: Competitive + Benefits Eligibility: Applicants must have the right to work in the UK. Visa sponsorship is not available for this role. About the Company We are a rapidly growing, FCA-regulated FinTech company providing … work will directly impact business intelligence, analytics, and AI/ML applications. Key Responsibilities Develop and maintain scalable data pipelines using Python, SQL, and Databricks Implement ELT frameworks for transforming, enriching, and processing large datasets Design data models and optimize query performance and cost-efficiency Ensure data security, compliance, and … engineers and contribute to code reviews and best practices Skills & Experience Strong expertise in Python and SQL for data engineering Hands-on experience with Databricks, Spark, Delta Lake, Delta Live Tables Experience in batch and real-time data processing Proficiency with cloud platforms (AWS, Azure, Databricks) Solid understanding of data More ❯

Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world's toughest problems. Reporting to the Director, Sales, your mission will be to acquire new customers for Databricks in the UK. As a Greenfield Account Executive, you will be an … discover new opportunities in partnership with your Business Development Representative. Guide customers through their first decision and their early successes driving outcomes with the Databricks Platform. Drive accelerated quarter-over-quarter growth in a consumption sales model. Work with system integrators, ISVs and cloud partners to help customers build an … Databricks. Experience in a consumption-based model. Proven ability to sell value, build champions and work with a partner ecosystem. Fluency in English. 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 More ❯