51 to 75 of 612 Databricks Jobs in the UK

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

Promote user adoption, training, and change management initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

and data modelling; as well as healthcare technology and regulatory requirements (ISO13485, ISO27001) You have experience of managing data in Azure using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics You have a good knowledge of Data Lake and Data Warehouse architectures You have experience implementing monitoring and logging for data pipelines You are collaborative, enjoy problem More ❯

as an Azure Data Architect or Lead Data Engineer. Expertise in Microsoft Fabric, as well as in one or more of the following platforms: Azure Synapse Analytics and Azure Databricks, and supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Data Lake, etc. Excellent stakeholder engagement and communication skills. Able to consult, advise, architect and estimate project More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute to exciting projects More ❯

and SQL. Proficiency with BI 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 excellence. If you are ready More ❯

Studio). Strong Data Analysis 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 requirements into technical designs. Excellent More ❯

Studio). Strong Data Analysis 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 requirements into technical designs. Excellent More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

aimed at maximizing value through data utilization. Knowled g e/Experience Expertise in Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and More ❯

Data Warehouse, Amazon Redshift, or 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 industry is beneficial WHAT'S More ❯

and junior colleagues, including line management and development of teams, where required. 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/solution development lifecycles using More ❯

to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

of AI/ML concepts: 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; able to build confidence with More ❯

building robust delivery pipelines if the solution is to adopt modern DevOps processes. What does it take to be a Data Engineer? Previous experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis services, PowerBI Experience in delivering end to end BI solution from requirements, design to delivery Experience of working within More ❯

The Product Security Team's mission is to Left-shift SDLC (Security Development Lifecycle) processes for ALL code written in Databricks (for Customer Use or Supporting Customer internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services. You will be an individual contributor on the product … security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident. You will work with a global … Work on DAST tools and related automation for auto-assessment and defect filing. Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into - FedRamp, PCI, HIPPA, etc. Prioritize security from a risk management perspective, rather than an absolute textbook version. Help develop and implement security processes to improve More ❯

to prototype development and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business needs into technical requirements Experience of liaising effectively More ❯

infrastructure and capabilities Required Experience Strong experience with Python, SQL, and ETL processes for healthcare data pipelines Proven expertise managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments More ❯

Experience with network-centric datasets (fiber, GPON, ethernet, Wi-Fi telemetry). • Exposure to streaming technologies (Kafka, Event Hubs) and real-time analytics. • Knowledge of Machine Learning Ops (MLflow, Databricks). Deadline: ASAP Contract Type: Full Time Location: London Interested? The full job specification can be downloaded at the link below. Job Description To apply, please complete the form below More ❯

quality assurance, test automation, or data validation . Experience in testing data pipelines, ETL/ELT workflows, and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great More ❯

and presenting to senior stakeholders. Comprehensive knowledge of data management principles, including governance, quality, security, and lifecycle management. Familiarity with data tools and platforms: SQL, MS Azure cloud technologies, Databricks, Power BI, EDP, MDM (Master Data Management). Knowledge of data modelling, ETL pipelines, and data warehousing principles. Understanding of data privacy and compliance regulations (e.g. GDPR) Experience with agile More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

need to have: Proven experience delivering AI/ML solutions in production , with a strong focus on large language models (LLMs) and generative AI. Hands-on expertise with Azure Databricks , including data engineering, model development, and orchestration of ML workflows. Practical experience using LLMs and RAG , including prompt design, vector databases, model deployment, and integration into applications. Strong Python development More ❯