426 to 450 of 1,811 Databricks Jobs in England

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

architecture governance Desirable Experience Investment banking, wholesale banking, or capital markets. Transaction monitoring, risk, finance, regulatory reporting, or data platforms. Cloud migration factory approaches. Databricks and modern data platforms. AI, analytics, and data engineering workloads. Azure/GCP architecture certifications. #J-18808-Ljbffr ...

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 ...

inherent in the Life Sciences value chain.Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns.Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA ...

Strong foundation in Python and SQL Experience building models for real commercial use cases (e.g. propensity, clustering, regression) Comfortable working with tools like PySpark, Databricks, Tableau or Power BI (nice to have, not essential, since the group uses a mix across its businesses) A track record of translating technical work ...

streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with data governance, security, privacy and compliance ...

quality standards Deep Data & Analytics expertise , including data platforms, data migration, modelling, governance, master data, or analytics products Experience with cloud technologies such as Databricks, Snowflake, Power BI Strong understanding of data architecture fundamentals and how delivery interacts with data engineering, BI, and governance Experience maturing D&A operating models ...

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark ...

with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients ...

Intermediate Excel and SQL skills, with the ability to interrogate data and evidence conclusions. Experience of a major programming language is beneficial. Experience with Databricks, Unity Catalog, Microsoft Purview or equivalent modern data and governance platforms. Experience with data governance, metadata, modelling or data quality tools such as Collibra, Alation ...

operating an application inside a regulated or heavily restricted enterprise environment where you do not control the platform. Experience integrating applications with Teradata, Databricks, SAS, or SSH-driven jobs. Experience with React or an equivalent modern front-end framework. Experience with graph or lineage visualisation. Experience with observability and monitoring. ...

including API-first delivery and AI data access enablement.What You Bring • Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management.• 5+ years of experience ...

levels. A proactive and commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy ...

capability over time.Technical SkillsEssential• Strong SQL and Excel skills.• Good working knowledge of Python.• Understanding of the opportunities presented by AI tools and technologies.Desirable• Databricks experience or knowledge.• Power BI, SSIS, SSRS, VBA or DAX experience.What we offerEnjoy a benefits package designed to help you thrive, both professionally and personally. ...

communicate findings effectively. Stay current with developments in AI and machine learning through continuous learning. Technical Stack Core: Power BI LangChain basics MLflow Databricks Hugging Face Transformers What You'll Bring Hands-on experience in data science or applied analytics. Solid Python programming skills and understanding of machine learning fundamentals. ...

versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget ...

least one scripting language (Python, JavaScript, or similar) Experience working with APIs, webhooks, and system integrations Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows Experience in cloud environments (AWS, Azure, or GCP) Ability to translate complex technical concepts into clear business outcomes for both technical ...

Technical Skills Essential • Strong SQL and Excel skills. • Good working knowledge of Python. • Understanding of the opportunities presented by AI tools and technologies. Desirable • Databricks experience or knowledge. • Power BI, SSIS, SSRS, VBA or DAX experience. What we offer Enjoy a benefits package designed to help you thrive, both professionally ...

versioning and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud‐native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget ...

Strong experience with core data science and machine learning libraries such as scikit-learn, pandas, PyTorch and/or TensorFlow . Practical experience with Databricks , including MLflow and Spark-based data processing. Hands-on knowledge of Generative AI and LLMs , including prompt engineering, RAG architectures and vector search. Strong understanding ...

Movar's capability forward through experimentation and continuous learning. Mentor junior data scientists and contribute to knowledge sharing across the team. Technical Stack Core: Databricks Power BI REST APIs MLflow Hugging Face Transformers Microsoft Fabric Docker CI/CD with Azure DevOps Power Automate integration for AI workflows What ...

them into practical technical solutions.Excellent analytical, problem-solving and communication skills.Desirable experienceData-lake or lakehouse technologies such as Delta Lake, Apache Iceberg, Apache Hudi, Databricks, Snowflake or AWS Lake Formation.Image or video visualisation, enhancement, rendering or tagging applications.GIS or geo-referenced imagery.Event-driven architectures using Kafka, RabbitMQ, Redis Streams ...

security expectations; ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills: Experience building data products on Databricks using lakehouse patterns, including Delta Lake and medallion architecture Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined ...

capability. Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side‐by‐side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact. Overview We're seeking an experienced AI Engineer to design, build ...

communication skills. Demonstrate deep D&A expertise, including data platforms, migrations, modelling, governance, and analytics, with hands-on exposure to cloud technologies such as Databricks, Snowflake, and Power BI. Apply solid understanding of data architecture, operating models, and retail data domains (product, customer, inventory, pricing, forecasting, etc.) to guide effective ...