1 to 25 of 101 Apache Spark Jobs in London

detect threats, analyze patterns, and respond to incidents in real-time. You'll be designing and developing highly scalable streaming services using technologies like Apache Kafka, Apache Flink, Apache Storm and Apache Spark in Java, Python and Go. You'll design and implement data pipelines … Design, develop, and maintain streaming microservices in Java and Go that provide real-time data processing capabilities to internal teams Build and optimize Apache Flink and Apache Spark based data pipelines running on Kubernetes infrastructure Design event-driven systems leveraging Kafka for high-throughput, low-latency message ...

complex legacy data pipelines into production-grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high-quality testing frameworks covering performance, data quality and reliability Leveraging Agentic AI development tools to improve … consumed We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles Python and expert-level PySpark AWS Glue Apache Spark Apache Airflow Cloud-native Data Engineering architectures Large-scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing, validation ...

complex legacy data pipelines into production‐grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high‐quality testing frameworks covering performance, data quality and reliability Leveraging agentic AI development tools to improve … data is governed, managed and consumed Qualifications Staff, Principal or Lead Data Engineering roles Expertise in Python and PySpark Experience with AWS Glue, Apache Spark and Apache Airflow Cloud‐native data engineering architectures Large‐scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing ...

you. You'll be joining a large-scale cloud data transformation programme, helping design, build and optimise enterprise data platforms using Python, Databricks and Spark within a modern Lakehouse environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise …/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high levels of data quality, governance and pipeline reliability. Optimise performance across large-scale distributed data processing platforms. Collaborate with ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What … lake & Fabric. Understand which Azure data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Ability to Design, Build and deploy AI/ ...

applications, working closely with data engineers, analysts, and platform teams. Day to day duties Developing and maintaining data pipelines and processing jobs using Apache Spark and Python Orchestrating workflows with Apache Airflow Provisioning and managing cloud infrastructure on AWS using Terraform (Infrastructure as Code) Containerising applications … teams in an Agile environment, contributing to design reviews, code reviews, and documentation Essential Skills & Experience Strong hands-on experience with Python Experience with Apache Spark for large-scale data processing Practical knowledge of AWS services (eg S3, Lambda, EC2, Glue, RDS - adjust as relevant) Experience writing ...

PyTorch, applying advanced proficiency in supervised and unsupervised learning techniques to solve complex image and video analysis tasks. Implement scalable data pipelines with Apache Spark and Kafka, ensuring efficient ingestion, processing, and transformation of large-scale visual datasets for model training and inference. Evaluate machine learning models using … classification performance in vision projects. Guide team members in adopting best practices for code quality, model deployment, and performance optimization, leveraging tools like Apache Airflow for workflow automation. Collaborate with internal stakeholders to define technical requirements and deliverables, ensuring alignment of vision solutions with project objectives and compliance standards. ...

operating data pipelines and analytical systems using technologies such as Google BigQuery, Amazon Athena, or ClickHouse. Experience with distributed data processing frameworks such as Apache Spark and/or Apache Flink. Experience with messaging and streaming systems such as Apache Kafka or Apache Pulsar. Experience ...

Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden ...

work closely with stakeholders and translate business requirements into effective AI solutions Desirable Generative AI experience Large Language Models (LLMs) LangChain or similar frameworks Spark, Hadoop or other big data technologies Experience with distributed computing, streaming platforms or workflow orchestration tools Experience monitoring and optimising model performance in production ...

monitoring. Strong background in CI/CD pipeline design, automation, and maintenance. Hands-on experience with data engineering tools and storage solutions (e.g., ADLS, Spark, Databricks, SQL/NoSQL databases). Experience with distributed computing and big data processing frameworks such as PySpark. Knowledge of infrastructure-as-code tools ...

improve overall operational stability of software applications and systems Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark Develops and maintains web-based applications and dashboards using modern web stacks (React, Angular, etc.) Builds and optimises data models, ETL/ELT processes ...

Experience working for a software vendor, SaaS provider, or professional services organisation. Familiarity with Ataccama or similar enterprise data platforms. Exposure to Hadoop/Spark, NoSQL, XSLT, Hive, Kafka, Snowflake, or Databricks. Python or other programming languages. Familiarity with SDLC, code management and upgrades, and Unix/Linux. Perks ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with ...

experience designing and implementing multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

control, and Responsible AI/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event ...

with the ability to deliver incremental data modelling solutions in collaboration with engineering teams. Technical Environment (Desirable) Microsoft Fabric Azure Data Factory Python PySpark Apache Spark Desirable Skills Azure DevOps Contract Details Sector: Banking/Financial Services Location: London – Office based 4 days per week Contract Type ...

Collaborate with cross‐functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts across financial ...

Architecture.- Strong programming skills in Python and SQL.- Familiarity with cloud platforms such as AWS, Azure, or GCP.- Knowledge of Snowflake and experience with Spark/PySpark.- Experience in designing and implementing modern data platform engineering solutions.If you are ready to make an impact within a dynamic team ...

Senior Databricks Architect - London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice. This is an exciting opportunity … real-time data pipelines from legacy and modern source systems Implementing real-time and event-driven data processing solutions Developing data transformation frameworks using Spark, PySpark and SQL Designing Lakehouse architectures using Databricks and Medallion Architecture principles Creating scalable, reusable data products to support modern data operating models Integrating ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital ...