251 to 275 of 2,114 Databricks Jobs in the UK

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

warehouses, Business Intelligence/Management Information or ML and AI solutions Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too) ‘Hands on’ experience of data engineering within an analytics environment. Expert knowledge of one or more data languages including SQL, Python and Spark. Experience More ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands More ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

designing and building a robust data platform Great interpersonal skills and collaborative mindset Strong hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS Strong Python experience, including deep knowledge of the Python data ecosystem, with hands-on expertise in Spark and Airflow Hands More ❯

IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. More ❯

IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. More ❯

experience in data engineering, including designing and developing data pipelines for retrieval/ingestion/presentation/semantics in an Azure environment. Strong ADF, DataBricks, SQL, Python, Power BI skills. Data acquisition from various data sources including Salesforce, API, XML, json, parquet, flat file systems and relational data. Excellent team More ❯

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 More ❯

native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns – including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You More ❯

with new tools and uses of data. Essential Skills and Experience: Educated to degree level or have equivalent professional experience. 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 ❯

IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. More ❯

IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. More ❯

DevOps, Git, ARM/Bicep, and building CI/CD pipelines Desirable experience: Integration to D365 and working knowledge of Microsoft Common Data Model Databricks, Snowflake Azure Functions, Service Bus, Event Grid Understanding of Kimball data-modelling techniques Microsoft Azure data certifications Azure Synapse: Synapse-link, on-demand SQL engine More ❯

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 More ❯

requirements into well-architected data solutions. Technical proficiency across: SQL (advanced level) Python for data engineering tasks Azure-based data services (e.g., Data Factory, Databricks) Data warehousing and data lake architecture Innovative mindset with the ability to evaluate and implement emerging data technologies. Self-starter with strong problem-solving skills More ❯

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 More ❯