1 to 25 of 1,110 Databricks Jobs in the UK excluding London

a related data-focused role Strong hands-on experience with Azure data services, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps & Logic Apps Azure Stream Analytics Azure Resource Manager tools: Terraform, Azure Portal, Azure CLI, and Azure PowerShell Proficient in PySpark, Delta Lake More ❯

Cloud infrastructure, data stores connections, cloud functions concepts Experience in programming languages like Python, Java, or C# Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse Good understanding of Data Modelling techniques Ideally, you'll also have Relevant academic background Participation in the opensource community Expertise in automation More ❯

Cloud infrastructure, data stores connections, cloud functions concepts. • Experience in programming languages like Python, Java, or C#. • Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse. • Good understanding of Data Modelling techniques. Ideally, you'll also have • Relevant academic background • Participation in the opensource community • Expertise in automation More ❯

communication skills. Strong desire to learn and adapt to new technologies. Desirable experience: Data governance principles including Microsoft Purview Azure Infrastructure and Networking experience Databricks experience. Machine Learning and AI DevOps experience Power BI semantic modelling Nice to have certifications Microsoft Certified: Fabric Analytics Engineer Associate DP-203 Azure Data More ❯

5+ years), ideally in senior or lead roles. Solid command of SQL and Python, with a proven track record in building solutions using Azure Databricks and Synapse Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience More ❯

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

Bring: Extensive experience at a Microsoft Gold Partner or Advanced Specialised business . Expertise in Microsoft Azure Data & AI platforms (Azure Data Factory, Synapse, Databricks and SQL). Strong knowledge of data engineering principles , including data modeling, ETL, and real-time processing. Experience with analytics solutions (Power BI, Microsoft Fabric More ❯

driven culture. Driving best practices for data modelling, security, quality, and performance tuning. Managing integration with other Azure services including Azure Data Factory, Synapse, Databricks, and Power BI. Ensuring compliance with data governance, privacy, and security standards. Continuously improving platform capabilities and maintaining knowledge of emerging technologies in the Microsoft More ❯

is beneficial Experience of designing and building data models using Data Analysis Expressions (DAX) Hands-on experience with Azure tools: Azure Data Factory, Synapse, Databricks, SQL, Data Lake, Power BI, Delta Lake, and Spark. Ability to design, build, and deploy interactive user interfaces for interrogating data Experience of Power Automate More ❯

is beneficial Experience of designing and building data models using Data Analysis Expressions (DAX) Hands-on experience with Azure tools: Azure Data Factory, Synapse, Databricks, SQL, Data Lake, Power BI, Delta Lake, and Spark. Ability to design, build, and deploy interactive user interfaces for interrogating data Experience of Power Automate More ❯

products. Desirable experience will be: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS. An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse). Understanding of Data Science, AI and Machine Learning ways of More ❯

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

The IETs data architecture, ensuring alignment with best practices and strategic goals. Drive the adoption of Azure data technologies such as Fabric, Data Factory, Databricks, Synapse, and Delta Lake. Develop and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, and storage. Introduce and enhance self-service reporting capabilities for More ❯

with data 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 Understanding More ❯

with data 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 Understanding More ❯

with data 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 Understanding More ❯

and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern Data Platforms: Knowledge of Snowflake, Databricks, or similar platforms. Soft Skills: Strong communication skills, problem-solving abilities, and teamwork. Desirable Skills (you may have these now, or we can support your More ❯

Experience with dashboarding and data tools (Power BI). Understanding data visualization best practices. Familiarity with cloud platforms (Azure) and big data technologies (Fabric, Databricks, etc). Commercial experience and understanding of business/commerce. Microsoft certifications, particularly in data analytics, engineering and Azure. Why Join Us? Be part of More ❯

the role At Halfords we recognise our most important asset, after our people, is data, which is why we have invested in an Azure Databricks data lake. The challenge of course is to have skilled resource to unlock the valuable business insight within the data. The Senior Data Analyst within More ❯

include contributing to knowledge-sharing activities and data services. Essential technical experience you will demonstrate Strong experience designing and delivering data solutions in the Databricks Data Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and More ❯

of experience in data leadership roles Strong technical expertise in RDBMS (3rd–4th normal form), NoSQL, cloud platforms (AWS/Azure), and tools like Databricks or Microsoft Fabric Experience managing and growing high-performing data teams Clear commercial understanding of data as a product Ability to simplify complexity and communicate More ❯

another quantitative field. Experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to innovate in the field of data science and analytics? Apply now and join a team that More ❯

quantitative field. Extensive experience in a data science and analytics role using tools such as SQL, Python, R, Power BI, and Azure. Experience with Databricks and working with large amounts of data. Ready to lead and innovate in the field of data science and analytics? Apply now and join a More ❯

templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling, processing, and analysing complex, high-volume data from a wide variety of corporate structured and unstructured sources, 3rd party providers and 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. Cloud Technologies: Providers More ❯