51 to 75 of 138 Apache Spark Jobs in the UK excluding London

Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory ...

Stock Exchange. With 3,000 employees and 32 offices in 12 countries we’re a business with lots of opportunity for people with talent, spark and lots of ambition. If you want to build a great career with a company that prioritises strong values – such as integrity and courage ...

Lambda, ECS, RDS, S3, SQS, API Gateway, and CloudWatch. Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms. Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools. Drive observability, monitoring, logging, and operational readiness ...

into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

external customers. Cloud data platform experience (AWS, Azure or GCP) and streaming/real-time data. Wider data product experience across platforms such as Apache Spark, Databricks and Snowflake. Exposure to AI/ML data pipelines and emerging agent interfaces such as MCP. Hands-on master data management ...

experience working with Data A strong understanding of data integration techniques and solution/performance optimisation Excellent understanding and knowledge of SQL, Python or Spark Apply relevant data modelling techniques (e.g. STAR, Snowflake) Excellent Communication and Teamwork Skills Coaching and mentoring experience Technologies & Experience Desired: Git and JIRA software ...

modern cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern ...

modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms ...

able to offer visa sponsorship for this role at present Desirable (Nice to Have) Experience with streaming and big‐data tooling – Apache Kafka, Spark, or Flink Experience with MLOps platforms – MLflow, Kubeflow, Vertex AI, SageMaker, or Weights & Biases Experience evaluating and optimising RAG systems at scale (retrieval quality ...

support comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, UnityCatalog, and Apache Atlas tomaintaindata integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data … ease. Understanding of Data Lakehouse Architecture:You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage ...

Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable. “Nice to Have” Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow‐orchestration technologies. Machine‐learning methods such as forecasting, prediction or classification. ...

Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable."Nice to Have"Azure, Databricks, Apache Spark or comparable cloud and data platforms. Data pipelines, ETL and workflow-orchestration technologies. Machine-learning methods such as forecasting, prediction or classification. ...

GenAI infrastructure and workflows Skills and experience: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end‐to‐end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD skills with ...

problem‐solving skills to collaborate across global teams, and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non‐technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

Nice to have: Proven experience leading projects and managing teams, Experience in presales, client workshops, or building Proof-of-Concepts (PoCs), Familiarity with Hadoop, Spark, Research or R&D background. Soft Skills Ability to structure projects teams, make technical decisions, and own outcomes, Ability to manage multiple projects ...

Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization. Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage. ...

skills in Python, and experience with Java or Scala. Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark. Bonus points if you have: Multi-Cloud Exposure: Experience with Azure alongside GCP. Container Orchestration: Experience packaging and deploying workloads with Helm ...

skills in Python, and experience with Java or Scala. Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark. Bonus points if you have: Multi-Cloud Exposure: Experience with Azure alongside GCP. Container Orchestration: Experience packaging and deploying workloads with Helm ...

skills in Python, and experience with Java or Scala. Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark. Bonus points if you have: Multi-Cloud Exposure: Experience with Azure alongside GCP. Container Orchestration: Experience packaging and deploying workloads with Helm ...

skills in Python, and experience with Java or Scala. Data Engineering at Scale: Solid ELT/ETL design experience and hands-on work with Apache Spark. Bonus points if you have: Multi-Cloud Exposure: Experience with Azure alongside GCP. Container Orchestration: Experience packaging and deploying workloads with Helm ...

skills Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital ...

restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement. Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel. What you’ll bring to the role At least 4 years … scripts, with a particular focus on building and optimizing multi‐threaded, multi‐process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval ...

focus on production reliability. Essential skills and experience Strong hands-on experience developing data engineering solutions using Python and PySpark. Practical experience with Apache Kafka and Apache NiFi for streaming, ingestion and orchestration. Experience working with Hadoop, Hive or comparable enterprise data-lake technologies. Solid knowledge … software development tools. Exposure to agentic AI, workflow orchestration or retrieval-augmented generation. Key responsibilities Design and develop scalable data pipelines using Python, PySpark, Apache Kafka and Apache NiFi. Integrate vendor platforms and enterprise systems through REST APIs and secure authentication mechanisms. Build data processing and storage solutions ...