226 to 250 of 2,106 Databricks Jobs in the UK

Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as Databricks, Snowflake, AWS, Azure, or DBT Understanding of observability, monitoring, and logging in GCP GCP Professional Data Engineer certification (or similar) What’s on Offer Competitive More ❯

tools like Looker or Power BI. Strong client-facing and communication skills — able to lead conversations with both business and technical stakeholders. Experience with Databricks, Snowflake, AWS, or Azure . Understanding of DataOps, CI/CD pipelines , monitoring, and DevOps culture. Background in consulting or working in client-facing delivery More ❯

collaboration and punctuality. Technical Skills: Knowledge of Python (desirable). Knowledge of Data Lakes & medallion architecture. Experience of data engineering using Microsoft Fabric or Databricks Experience of MS Azure Platform Proficiency in the following technical areas: (Fabric Power BI, SSRS, SSAS, SSIS). Advanced knowledge of SQL. Advanced computer skills More ❯

Security, workspace management), and performance tuning best practices for enterprise BI environments. Integrate Power BI with Azure Data Services (e.g., Azure Synapse, Data Lake, Databricks) and M365 platforms, with familiarity in Power Platform and Microsoft Fabric where applicable. Deliver hands-on workshops, coaching sessions, and enablement programs to enhance customer More ❯

engineering tools (SQL, Python, Spark). Hands-on experience with cloud platforms (Azure, AWS, GCP). Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake). Ability to translate clients' business needs into technical solutions. Ability to attend & contribute to keynote talks & events. Customer engagement and relationship management skills. More ❯

senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python More ❯

ML models, especially in consumer-facing applications Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash and Streamlit Experience with advertising platforms (e.g., Facebook Ads, Google Ads) and programmatic ad-buying strategies is a plus Knowledge of More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

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 More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

tools (e.g., Tableau, Power BI). Building and maintaining ETL/ELT pipelines and data models within data warehouses. Using cloud computing tools like DataBricks for AI/ML. Experience in model governance and documentation Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and 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 ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non More ❯

a data analysis role with commercial/business focus. · Strong proficiency with common data analysis tools, with a specific focus on Power BI, SQL, Databricks and Azure data platform. · Experience working with large datasets and developing meaningful business insights. · Ability to translate commercial and operational requests for insight from non 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 ❯

ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. More ❯

data. Experience with cloud platforms like Azure, AWS, or GCP for machine learning workflows. Understanding of data engineering pipelines and distributed data processing (e.g., Databricks, Apache Spark). Strong analytical skills, with the ability to transform raw data into meaningful insights through AI techniques. Ability to work both independently and 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 ❯

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 ❯