826 to 850 of 1,870 Databricks Jobs in England

work. Possess advanced knowledge of programming languages (Scala, Python, Java, C#) and understanding of domain modelling and application programming. Have experience with data management platforms (SQL, NoSQL, Spark/Databricks). Be familiar with modern engineering tools (Git, CI/CD), cloud technologies (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Experience with various frameworks (React, Angular, Vue, Blazor More ❯

a data validation framework to automate quality control processes Requirements Over 3+ years of hands-on Python development experience for production systems Proficient in data cloud computing technologies (EMR, Databricks) within leading cloud platforms (AWS, Google Cloud, or Azure) Skilled in designing and implementing data pipelines using distributed storage platforms Demonstrated analytical skills and structured approach to software design Have More ❯

data migration, and data cleansing methodologies. Moderate to advanced SQL skills, with experience writing complex queries. Experience integrating with cloud-based data warehouses/data lakes (e.g., Snowflake, AWS, Databricks, Big Query) and data analytics tools (e.g., Tableau). Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to thrive in a fast More ❯

Catch Resource Management 11 years experience placing D365 professionals in the UK. D365FO UK Team Lead at Catch Resource Management Data Analytics Senior Sales Consultant – Data Analytics, Snowflake, Talend, Databricks, Salesforce, HubSpot, SaaS, Data Lakes, APIs, AdTech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOps, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide More ❯

ML roles (bonus if it’s in CPG, retail, or health) Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning What you’ll get: Hybrid working + competitive More ❯

high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools More ❯

client solution. This involves configuration of data ingestion, data mapping, opt-in tracking, customer matching, client facing analytics dashboards and integrations with third party software. Using tools like SQL, Databricks and Azure Data Factory to test and reconcile the data after it has been integrated. Creating a detailed technical document to support the solution. Working with our Tech Ops Team More ❯

experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to More ❯

experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to More ❯

experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured and unstructured financial data, including time-series analysis, market data and transactional data Ability to More ❯

analysts to deliver high-quality data products. Ability to translate complex business requirements into technical solutions. Understanding of data governance principles, and familiarity with modern data platforms (e.g., Azure, Databricks) and designing scalable data models for enterprise-wide use. We’re growing fast and alongside a fun and friendly environment, we offer a fabulous package and amazing prospects – ideal if More ❯

in game analytics, data analytics, or business intelligence. Hands-on experience with SQL, Excel, and data visualization tools (Tableau preferred). Familiarity with data telemetry, taxonomy, and cloud analytics (Databricks, etc). SKILLS Telemetry or other data design experience Analytical mindset – ability to turn data into actionable insights. Strong communication and storytelling – able to make complex data accessible and engaging. More ❯

record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow, SageMaker, Vertex AI, Databricks) • Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD) • Ability to lead delivery in agile environments—balancing scope, prioritisation, and quality • Excellent More ❯

standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling and relevant software/platforms. Significant knowledge and Experience in Databricks and Lakehouse concepts. Strong stakeholder management experience across multiple levels of an organisation. Proven ability to solve complex problems using data but translate these into easy to understand/digest More ❯

Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management More ❯

understanding of the data landscape to influence strategic roadmaps. Focus on service delivery, continuous improvement, and innovation. Strong communication and collaboration skills across teams. Key Technologies (awareness of) Azure Databricks, Data Factory, Storage, Key Vault Source control systems, such as Git dbt (Data Build Tool), SQL (Spark SQL), Python (PySpark) Certifications (Ideal) SAFe POPM or Scrum PSP Microsoft Certified: Azure More ❯

and CI/CD pipelines, and with security integration into CI/CD Familiarity with SAST/DAST/SCA tools like Fortify, Whitesource Database, datalake knowledge – Postgres, Oracle, Databricks, Snowflake Familiarity with Secure SDLC frameworks such as NIST SSDF, OpenSAMM, BSIMM Security Forensic analysis skills Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified More ❯

record deploying ML systems in production at scale (batch and/or real-time) • Strong technical background in Python and ML engineering tooling (e.g. MLflow, Airflow, SageMaker, Vertex AI, Databricks) • Understanding of infrastructure-as-code and CI/CD for ML systems (e.g. Terraform, GitHub Actions, ArgoCD) • Ability to lead delivery in agile environments—balancing scope, prioritisation, and quality • Excellent More ❯

Linux OS and Shell scripting. Extensive experience in data orchestration spanning SQL and NoSQL databases. Proficiency in cloud computing platforms and experience in modern data platform solutions (AWS, GCP, Databricks, Snowflake). Familiarity with workflow management systems (e.g., Nextflow, Snakemake). Knowledge of bioinformatics tools and data formats (e.g., FASTQ, BAM, VCF) and understanding of omics technologies. Experience in the More ❯

the FCDO as part of our collaborative and technical consultancy service. Provide engineering data pipelines in Azure primarily using Azure Data Factory and also, to develop team capability, using Databricks and other tools within the Azure Cloud environment. Deliver data products to a range of business domain stakeholders and to teams across the department. Implement data design through good Data More ❯

and analytics tools such as Power BI, Tableau, and similar platforms to create reports, dashboards, and data visualizations for insights. Additionally, familiar with MDM (Master Data Management), Data Lake, Databricks, and Informatica data-related tools is a plus. Proven experience in utilizing Agile and Waterfall methodologies for project management, business analysis, and systems development. Skilled at thriving in fast-paced More ❯

engagement skills, with the ability to influence across engineering and business boundaries. • Passion for growing people and building diverse, inclusive teams. Preferred • Experience with modern ML platforms such as Databricks or Vertex AI. • Exposure to deploying and optimising LLMs or other frontier models in production. • Background in regulated environments or sectors with sensitive data governance needs. • Track record of delivering More ❯

the FCDO as part of our collaborative and technical consultancy service. Provide Engineering Data pipelines in Azure primarily using Azure Data Factory and also, to develop team capability, using Databricks and other tools within the Azure Cloud environment. Deliver data products to a range of business domains stakeholders and to teams across the department. Implement data design through good Data More ❯

solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/CD), cloud platforms (Azure, AWS), and Infrastructure as Code (Terraform, Pulumi). Familiarity with various frameworks across front-end and back More ❯

the FCDO as part of our collaborative and technical consultancy service. Provide Engineering Data pipelines in Azure primarily using Azure Data Factory and also, to develop team capability, using Databricks and other tools within the Azure Cloud environment. Deliver data products to a range of business domains stakeholders and to teams across the department. Implement data design through good Data More ❯