101 to 125 of 579 Databricks Jobs in England

order to be suitable for this role you must be an accomplished Data Engineer with hands-on experience with Azure data services, including Databricks, Data Factory and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large-scale data platforms, supported ...

with Power BI, including data modelling and reporting. Experience working with modern data platforms and concepts such as lakehouse or medallion architecture. Exposure to Databricks for data transformation and pipeline development is highly desirable. Confident communicator who can work effectively with both technical and non-technical stakeholders. APPLY BELOW ...

data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading ...

wrangling, such as Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

experience on a modern data stack. Strong SQL and hands-on experience with a modern cloud data warehouse (Snowflake preferred; BigQuery, Redshift, Synapse or Databricks considered). Hands-on dbt experience – building and testing models. Experience with an ELT tool such as Fivetran (or equivalent). Working knowledge of Azure ...

provide effective solutions that support business objectives What They're Looking For Strong experience designing and developing scalable data pipelines Proficiency in SQL, Python, Databricks and/or Azure technologies Experience working with tools such as Git and Airflow Strong troubleshooting skills with the ability to test, maintain and improve ...

with AWS or another major cloud platform Docker and containerised application experience Infrastructure as code experience, ideally Terraform or CloudFormation Experience with SQL, PySpark, Databricks or AWS Glue Exposure to Scikit‐learn, PyTorch, LightGBM or similar libraries An understanding of LLMs, multimodal models or generative AI applications Deep commercial ...

Commitment to an inclusive team environment where people are recognised and supported. Desired TOGAF or equivalent architecture certification. Certifications/exposure to Microsoft Fabric, Databricks, Snowflake , or similar enterprise data platforms. Experience with Data Mesh or domain-oriented data product operating models. Familiarity with governance platforms: Collibra, Informatica , etc. Experience ...

foundation in machine learning algorithms and deep learning concepts including Neural Networks and Transformer-based architectures. Knowledge in developing and deploying scalable models on Databricks, Azure, and AWS, leveraging tools such as FastAPI and Docker. Proficient in model tracing and observability for LLM in production and implementing evaluation frameworks ...

analytics. Digital twin analytics. LLM understanding. Preferred Certifications Google Cloud Data Engineer or Machine Learning Engineer. Azure Data Scientist or AWS Machine Learning certification. Databricks, Snowflake, or equivalent data platform certification. TM Forum SID, Open API, or Autonomous Networks training. Nice-to-Have Qualifications Experience with telecom digital twin platforms. ...

thrive in fast-paced, dynamic environments and lead change-management initiatives Preferable qualifications, capabilities and skills Practical experience with modern data platforms (Snowflake, Databricks, BigQuery) and micro-services or data-mesh architectures preferable J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

architectural fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling ...

Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including ...

Platform, particularly Power Automate, Power Apps, Dataverse, connectors or AI Builder where these support AI‐enabled workflow automation Experience with Microsoft Purview, Microsoft Fabric, Databricks, vector databases, semantic search or wider enterprise data and governance platforms Experience with AI evaluation, red‐teaming, model monitoring, content safety, LLMOps, GenAIOps or production ...

. Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree or certification in NLP, ML, or related fields. Familiarity with DevOps practices and tools. Hands-on experience with experimentation and model ...

related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks ...

Logic Apps, Service Bus and API Management. Working knowledge of C#, Python, particularly for automation, integration or AI-enabled solutions. A key understanding of Databricks and modern data architectures. Experience integrating Power Platform solutions through APIs and enterprise integration patterns. Experience with Agile, DevOps, CI/CD and Infrastructure ...

Analytics Cloud, or SAP BTP certifications. Experience in Life Sciences, Pharmaceutical, Biotechnology, or highly regulated industries. Experience with Microsoft Fabric, Azure Data Platform, Snowflake, Databricks, or other modern cloud data ecosystems. Strong knowledge of AI-driven analytics, data products, and enterprise information management frameworks. Equal Employment Opportunity ...

FinOps, AI economics or technology value management capability. Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake. Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries, caching and agent orchestration. Experience supporting ...

architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity … insurance functions. Ability to design architectures that support self‐service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake. Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain … focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design ...

Engineer: Design, build and maintain scalable and secure data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics . Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake … . Required Skills & Experience - Azure Data Engineer: Proven commercial experience as a Data Engineer delivering enterprise-scale solutions in Azure Azure Data Factory Azure Databricks (PySpark) SQL & Python Understanding of CI/CD in a data environment , ideally with tools like Azure DevOps. Experience working within consultancy or client-facing ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building … communication and teamwork skills. In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...