18 of 18 Remote/Hybrid PySpark Jobs in London

Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power ...

programming, concurrency, multithreading) Expertise in RESTful API design, OpenAPI/Swagger documentation and API lifecycle best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile ...

Palantir Foundry experience, especially Databricks connector, Data Connection, datasets, syncs, projects and permissions. Secure data-sharing, data governance, lineage and access approval experience. Python, PySpark or SQL development experience. CI/CD experience using GitLab, GitHub Actions, Azure DevOps or similar. Key Deliverables Secure AWS S3 and Databricks access ...

making Your Skills and Experience Strong commercial experience as a data engineer in modern, cloud based environments Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS Hands on experience ...

Senior Data Engineer Who we are Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value ...

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

into scalable technical solutions Building end-to-end data workflows using a mix of low/no-code platforms and code-based approaches (Python, PySpark, SQL) Developing user-facing applications, dashboards, and workflows using modern front-end tools such as TypeScript and React Supporting the design and evolution ...

understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic ...

qualification in Computer Science, AI, Data Science, or related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools ...

outputs Set up monitoring and ensure data health for outputs What we are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What ...

complex technical architectures. Essential Skills Clearance: Active UK Government Security Check (SC). GenAI: Expertise in LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months ...

complex technical architectures. Essential Skills Clearance: Active UK Government Security Check (SC). GenAI: Expertise in LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months ...

direction, maintaining standards, and driving output Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL) Overseeing the development of user-facing applications and workflows using TypeScript and React Acting as the primary client interface, shaping requirements and translating ...

Technical Environment : Palantir Foundry, Foundry Virtual Tables, Ontology, Workshop, Pipeline Builder, Code Repositories, AWS, Databricks, Terraform, IaC, Delta Lake, Parquet, Iceberg, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

Azure or AWS Developing modern lakehouse architectures using: Databricks (Spark, SQL, Delta Lake) Azure Data Lake Storage or Amazon S3 Writing high-quality PySpark, Python, and SQL for ingestion, transformation, and modelling Implementing Bronze/Silver/Gold data layers Embedding data quality, validation and monitoring within pipelines Supporting … Data Engineering roles Strong experience working with Azure or AWS cloud platforms Commercial, hands-on experience using Databricks in production Proven capability across: PySpark/Python/SQL Cloud data storage (ADLS or S3) ETL/ELT pipeline development Solid understanding of data architecture, modelling, and governance Experience building ...

connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python, PySpark, SQL, CI/CD, GitLab, GitHub Actions. ...

modernisation of existing data estates. 🔧 Key Responsibilities Design and build scalable data pipelines using Databricks Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL) Support migration and modernisation of legacy data platforms into Databricks Improve performance, reliability and cost efficiency across data workloads Work closely with … best practices across delivery ✅ What We’re Looking For Strong hands-on experience with Databricks in a Data Engineering capacity Solid experience with Spark (PySpark/Spark SQL) Proven track record building and optimising data pipelines (ETL/ELT) Experience working within cloud environments (AWS or Azure) Strong ...

Responsibilities Build and maintain scalable data pipelines (full ETL lifecycle) Perform data cleaning, transformation, and integration Work with Microsoft Fabric, Notebooks, Python, and PySpark Manage and develop solutions using SQL Server and Cosmos DB Handle multiple data formats and support data processing workflows Collaborate closely with Data Engineering … Business Intelligence teams across onshore and offshore locations Requirements Proven experience as a Data Engineer Strong skills in Python, PySpark, and Microsoft Fabric Experience with SQL Server and Cosmos DB Ability to design and deliver ETL pipelines Comfortable working in high-pressure environments Desirable Insurance industry experience (ideally 2+ ...