76 to 100 of 3,929 Databricks Jobs in the UK

s toughest problems with data and AI? This is what we do every day at Databricks. This role presents a unique opportunity to pioneer Databricks' presence within a set list of customers across Legal and Professional Services Firms, and Business Process Outsourcers. Reporting to the Enterprise Sales Director, the Enterprise … with cross-functional teams to grow existing accounts. The impact you will have: The opportunity to work with cross-functional teams to build out Databricks solutions for the Legal sector. Assess your accounts and develop a strategy to identify and engage all buying centers Use a solution-based approach to … Salesforce Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks' impact Orchestrate and work with teams to maximise the impact on your ecosystem Build value with all engagements to promote successful negotiations to close point More ❯

and Scientists to optimise data quality, reliability, security, and automation. Skills & Responsibilities: Core responsibility will be using the NHS Secure Data Environment which utilises databricks, to design and extract regular datasets. Configure and troubleshoot Microsoft Azure, manage data ingestion using LogicApps and Data Factory. Develop ETL scripts using MS SQL More ❯

architectures. Technical Expertise: Strong command of SQL, scripting, and programming languages like Python or Java. Experience with Microsoft Azure, including Azure Data Factory and Databricks, is essential. Data Quality and Governance: Experience implementing data quality controls, cleansing routines, and governance frameworks to ensure data integrity and compliance. Collaboration and Communication More ❯

in data engineering, with exposure to multiple platforms and tools - Expertise in platforms like MS Fabric, Azure data tooling, AWS data tooling, Snowflake or Databricks - Strong proficiency in SQL and scripting languages such as Python - Experience with cloud platforms like Azure, AWS, or GCP and their data services - Solid problem More ❯

AZ-305 Azure Solutions Architect are nice to have. Desirable experience: Consulting experience. Data governance principles including Microsoft Purview. Azure Infrastructure and Networking experience. Databricks experience. Machine Learning and AI. DevOps experience. Power BI semantic modelling. Apply: Please submit your CV highlighting your relevant experience and certifications. Applicants must have More ❯

Data Engineering, Data Warehousing, or programming within a dynamic (software) project environment. Data Infrastructure and Engineering Foundations: Data Warehousing: Knowledge of tools like Snowflake, DataBricks, ClickHouse and traditional platforms like PostgreSQL or SQL Server. ETL/ELT Development: Expertise in building pipelines using tools like Apache Airflow, dbt, Dagster. Cloud More ❯

years; helping end user clients and partners engage the best permanent and contract Microsoft... Data Engineer - Leading Fashion Company - London (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) We’re recruiting on behalf of a leading fashion brand based in London that’s More ❯

growth and operational excellence. What are we looking for? Hands-on experience designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks, and Azure Open AI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tooling (such as Informatica), and More ❯

Design, build, and test data products from multiple sources Implement data modeling concepts and create unit tests Desired Qualifications include certifications in AWS, Azure, Databricks, or related technologies, experience with public sector data initiatives, and knowledge of AI/ML concepts. #J-18808-Ljbffr More ❯

daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, reusable Python code for data More ❯

will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code More ❯

responsibilities include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for More ❯

tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for More ❯

skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI). Proven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business More ❯

Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Providers: AWS (EC2 More ❯

ownership for designing and building innovative data solutions, including managing teams of Data Scientists & Engineers. Work with a mix of cloud services (majoring in Databricks and Azure, alongside AWS and Snowflake). Support in setting the direction and vision of the Data Engineering part of our business, putting in place More ❯

of hands-on experience in data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT, Airflow, or More ❯

and Experience: Educated to degree level or have equivalent professional experience. Experience translating business requirements into solution design and implementation. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product More ❯

and Experience: Educated to degree level or have equivalent professional experience. Experience translating business requirements into solution design and implementation. Experience of MS Azure Databricks Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. Experience following product More ❯

and Experience: ·Educated to degree level or have equivalent professional experience. ·Experience translating business requirements into solution design and implementation. ·Experience of MS Azure Databricks ·Experience working with Database technologies such as SQL Server, and Data Warehouse Architecture with knowledge of big data, data lakes and NoSQL. ·Experience following product More ❯

to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata or AWS Experience in designing and constructing effective reports and dashboards that transform data into actionable insights with Tableau or Power BI Proven ability More ❯

experience of developing and implementing end to end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as More ❯

/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address More ❯

/or Power Automate. Copilot Studio experience also desirable. Programming language (Python, R or SQL) Hands-on experience with tools such as Microsoft Fabric, Databricks, or Snowflake Consulting Experience: Current experience in a major consulting firm and/or significant consulting background with evidence of effective stakeholder management to address More ❯

committed to making Homes England a Data-led organisation. To deliver this you will be using the latest tools and technologies such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure DevOps and Terraform alongside languages such as Python, PySpark and SQL. Deploying pipelines through CI/CD More ❯