351 to 375 of 742 Remote Databricks Jobs

and growing high-performing data science teams. Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language. Proficiency in tools such as Azure ML Studio , Databricks , AWS/SageMaker , Snowflake , and cloud-native platforms. Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions . Comfortable working in Agile environments and contributing to More ❯

deliver the data management solution. Estimate the effort required to deliver the data management solution. Essential Skills Proficiency in developing data transformation code using Azure Data Factory, Azure Synapse, Databricks, Python, and Pyspark. In-depth knowledge of data warehouse designs, including slowly changing dimensions. Experience with relational and database technologies such as Oracle and SQL Server. Strong analytical skills and More ❯

or similar data visualisation tools. Excellent communication skills and the ability to explain technical concepts clearly. A proactive, collaborative approach and a desire to continuously learn. Experience with Python, Databricks, or Power Platform tools is a plus. If you're ready to help shape the future of insights and automation at Virgin Atlantic we'd love to hear from you More ❯

experience in a team leadership role. Experience with Agile/Scrum frameworks. Excellent problem-solving and analytical skills. Excellent communication skills, both technical and stakeholder level. Data Expertise with Databricks (PySpark). Experience building and maintaining complex ETL projects end-to-end. Expertise in data modeling, access, and storage techniques. Experience with relational and document databases. Strong understanding of data 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 ❯

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 ❯

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 ❯

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 ❯

experience in IaC and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines on a cloud environment and More ❯

a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role get in More ❯

flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You'll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Grafana, Linux, Windows, Python, Java What You'll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations More ❯

science libraries and tools), and version control tools like GitHub. Expertise in data wrangling, modelling, data visualisation, and building end-to-end data science solutions. Experience or familiarity with Databricks, Agile Framework, Asset Bundles, MLOps Stacks, GitHub actions and Generative AI is a plus. Proven ability to balance multiple priorities, manage projects from start to finish, and deliver high-quality More ❯

problems we can help solve together. Knowledge & experience needed: Excellent ability in R or Python, to write clear, logical, documented code as data solutions Experience working with Azure (Cloud), Databricks Experience working with real-world data, including spatial data Highly numerate with excellent analytical and problem-solving skills, including experience of analysing and accurately interpreting a range of data and More ❯

.NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know how to build with performance, security and maintainability in mind You can comfortably influence and guide both technical and non-technical stakeholders You're passionate about helping others 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 ❯

problem solving and have empathy for the problems you are challenged with Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree in Computer Science, Data Science, Mathematics, Physics or equivalent Care 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 ❯

a general programming language ( Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (Azure, AWS) and IaC ( Terraform, Pulumi) You have worked using one or more frameworks More ❯

of our data infrastructure to power our machine learning and analytics workloads to support the companies growth. Our data stack: We work with a modern data stack built on Databricks and AWS with python and pyspark as our primary tools. In this role, you'll get to: Own business critical components and perform meaningful work with an impact on our More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯

to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope and More ❯