1 to 25 of 44 Databricks Jobs in the North West

transformation processes. Implement medallion architecture patterns and high-performing data platforms. Deliver data ingestion, transformation and orchestration using Fabric , Azure Data Factory , Azure Databricks , Azure SQL , and related services. Ensure solutions meet standards for reliability, maintainability, security and performance. Collaboration & platform enablement Work closely with Power BI developers , AI specialists ...

demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AxoWS/Oracle cloud, R, Python. #J-18808-Ljbffr ...

background; a degree in a business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers ...

regulated Financial Services experience * Knowledge of modern cloud data platforms and AI technologies * Excellent consulting and communication skills Experience with **Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python and SQL** is desirable, along with **Agile or SAFe** delivery and tools such as **Jira** and **Confluence**. Why Apply? Join ...

regulated Financial Services experience * Knowledge of modern cloud data platforms and AI technologies * Excellent consulting and communication skills Experience with **Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python and SQL** is desirable, along with **Agile or SAFe** delivery and tools such as **Jira** and **Confluence**. Why Apply? Join ...

Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able ...

automation, cloud infrastructure, data engineering or a similar hands-on engineering role.Practical knowledge of Azure Data & AI services, such as Azure Data Factory, Azure Databricks, storage, networking, identity, monitoring and security.Confidence working with Terraform, infrastructure-as-code, GitHub Actions, Git, CI/CD pipelines, release controls and automated validation.A strong ...

designing and building data-intensive applications or working alongside data engineering teams Experience working with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks AI engineering experience, including GenAI, LLMs, RAG, agentic solutions, or prompt engineering Blended Working: Weoperatea blended working model, with colleagues spending at least two days ...

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 ...

environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

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 ...

Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake TPBN1_UKTJ ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform, AWS CDK Certification AWS Professional or Specialty level strongly ...

strong partnerships with AWS,Azureand GCP.We'reinterested to hear fromDataArchitects with experience acrossthe majority ofleading vendors including Azure, AWS, Google Cloud Platform,Databricks, Snowflakeand more. Additional information Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick call with ...

experienced Data Engineer to design, build, and maintain scalable data pipelines powering Moody’s next-generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, driving platform optimizations and cross-functional collaboration. In this role, you’ll collaborate with product owners ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

modern BI tool (e.g. Tableau, Omni, Looker, Power BI) and strong SQL is essential. Desirable skills: · Ideally has experience with the tech stack (Tableau, Databricks, Snowflake, dbt ). · Exposure to AI-assisted development or analytics tools (e.g. Claude, Copilot) is a plus. · Degree or Masters in a numerate subject such ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

platforms: Cognite Data Fusion, C3 AI, Hexagon, Palantir is beneficial. At least one cloud architecture certification i.e. TOGAF, Cloud platform certifications (AWS, Azure), Databricks or other similar. Experience in working within the fields of Data Science and Analytics, with a proven track record of successfully delivered work across ...

cost, performance, maintainability,). Data Solutions: Exposure to solutions linked to any our key areas of expertise: Data Platforms such as Fabric, Snowflake, or Databricks Analytics & Insightsolutions - Business intelligence, dashboard development AI- GenAI, LLM, Agentic solutions BlendedWorking: Weoperateablendedworkingmodel,withcolleaguesspendingatleasttwodaysperweekintheoffice,alignedtoprojectteamrequirements.Occasionaltraveltoclientsitesmayalsoberequired. Thisbalancehelpsusstayconnected,learnfromeachother,andbuildstrongrelationships-bothwithinourteamandwiththebusinesseswesupport. Benefits That Put You First ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...