18 of 18 PySpark Jobs in the City of London

performance, efficiency, and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout … years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data ...

enterprise-scale analytics environments Technical Skills Advanced SQL/T-SQL Python for data engineering, automation, and transformation DAX for Power BI semantic modelling PySpark/Spark (highly desirable) Microsoft Azure ecosystem knowledge Our client is looking for someone who combines strong technical depth with excellent communication and stakeholder ...

Advanced SQL skills for complex query validation. Experience with Agile/DevOps delivery models and JIRA test management. Familiarity with automation frameworks (SQL/PySpark preferred). Knowledge of CI/CD and release management processes. Experience with Power BI, Alteryx, and VS Code , particularly in testing integrations with ...

with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/ ...

with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/ ...

Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Databricks certifications What's in it for you: Location ...

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 ...

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 ...

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 ...

impact. Key Responsibilities Design and deliver end-to-end technical solutions across complex data environments Build and maintain applications using technologies such as Python, PySpark, TypeScript, and React Develop AI-driven workflows and operational tooling Work directly with client stakeholders in fast-paced delivery environments Present demos, gather feedback ...

work directly with stakeholders, build modern data workflows, and help deliver meaningful transformation projects. You’ll work across technologies including Python, SQL, PySpark, TypeScript/React, and Palantir Foundry, contributing to everything from data engineering and AI workflows to user-facing applications. What You’ll Do Build and support ...

ownership of client problems, handling everything from deep data engineering knowing that may require low/no code Palantir Foundry tooling, or Python and PySpark code repos - to building user-facing front-end applications and widgets in TypeScript or REACT Lead Client Advisory: Sit directly alongside clients, goals ...

related discipline Working knowledge of Monte Carlo simulations, Bayesian methodologies or stochastic modelling Proficient in Python as your primary modelling tool; familiarity with PySpark, Hive, Docker or Kubernetes is advantageous but not essential What's in it for you? Genuine scope to shape something new. This is a freshly ...

Data Engineer PySpark/Python Location: Sheffield (Hybrid 3 days per week preferred) c.£600 per day Inside IR35 Initial 6-month contract with strong likelihood of extension We are supporting a major global banking organisation on the growth of its Data Technology function and are looking … already based in the local area. Key Responsibilities Design, develop and maintain scalable data pipelines and ETL processes Develop robust solutions using Python, PySpark and SQL Work with large-scale datasets in distributed data environments Contribute to data modelling and data warehousing initiatives Support CI/CD and automation ...

Lakehouse architecture Design and deliver high-quality, analytics-ready data models that support trusted reporting Translate complex business requirements into robust SQL and PySpark transformation pipelines Shape how data is structured, modelled and served across multiple domains Embed data quality, testing, reliability and performance standards into pipelines Contribute … Experience Strong commercial experience as an Analytics Engineer operating in a modern data platform Advanced data modelling capability, including dimensional and semantic modelling Strong PySpark development experience within a Lakehouse environment Advanced SQL skills for complex transformations Hands-on experience with Databricks, including pipelines and governance tooling A strong ...

models. This isn't just a 'high-level' role-we need someone who can design the blueprint and then dive into the Python/PySpark code to ensure the foundation is rock solid. Key Responsibilities: Architect & Design: Lead the implementation of on-premises, cloud, and hybrid AI solutions. GenAI … certification. AI Specialization: Proven experience with Prompt Engineering, Azure OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience ...

workstreams from discovery through to validated delivery Architect and build the Claude Code agentic workflow: Parse existing data movement pipelines and logic Generate equivalent PySpark transformations Produce Airflow DAGs Operate, iterate, and scale across the full data pipeline estate Ensure rigorous creation and management of the PySpark data … architectural standards on complex, multi-workstream programmes Hands-on capability to build solutions as well as design them Deep expertise in Python and PySpark: Strong track record delivering large-scale distributed data systems Experience with Claude Code or similar agentic AI platforms: Prompt engineering Context management Workflow design ...