1 to 25 of 2,450 Remote Python Jobs

Data Engineer. Proficiency in front-end technologies: HTML, CSS, JavaScript, React (must), Angular, Vue.js. Strong back-end development skills: Java and Node.js (must); Python or Ruby on Rails is a plus. Experience with cloud-native architectures and containerization (Docker, Kubernetes). Familiarity with Red Hat OpenShift.Experience with CI/ ...

Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering ...

skills. Experience working within Agile delivery environments and cross-functional teams. Good-to-Have Skills React, Angular, or Vue.js Java, Spring Boot, Node.js, or Python RESTful API and microservices frameworks AWS, Azure, or Google Cloud Platform certifications Docker and Kubernetes Git-based source control platforms CI/CD pipeline tooling ...

secure platform patterns, and ensure that your data services run predictably in tightly governed Defence environments. What You Will Bring Core Engineering Expert level Python and strong foundations in software engineering such as object oriented design, automated testing and version control. Data Engineering Stack Experience building pipelines using streaming frameworks ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands‐on experience building and operating large‐scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark ...

improvement across the team. Required Skills Proven experience as a Senior Data Engineer or Data Engineer. Strong SQL development and database optimisation experience. Excellent Python programming skills. Hands-on experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics or Databricks. Experience designing modern ETL/ELT data pipelines. Strong understanding ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You ve got a background in software engineering, including Front End technologies like JavaScript. You re a problem-solver, pragmatically exploring ...

Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science ...

beyond Java (Kotlin, Scala, Groovy) Exposure to TypeScript or Node.js for a full‐stack context Background in system design and distributed systems Proficiency in Python for scripting or data‐adjacent tooling Familiarity with LLMs, model architectures, and MCP, and experience integrating or building AI‐powered features Understanding of Kubernetes – container ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...

Technology or a related field At least one year of professional experience working in the area of data engineering Experience and proficiency working with Python and Jupyter Notebooks Experience working with geospatial data (raster and vector) Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs) Data pipeline design skills Knowledge ...