151 to 175 of 575 Apache Spark Jobs in the UK

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 ...

GCP. MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. Experience with Spark or distributed data processing frameworks. Experience preparing data pipelines or analytical datasets to support machine learning workloads. Awareness of data engineering, data architecture, data governance ...

with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models ...

this role leads the engineering of cloud-native data services for the firm's strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS. The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership in building … matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled. As platform landscape evolved towards cloud-native, AI enabled ...

experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering … Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter Screen Hiring Manager Screen Design ...

experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering … Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have: Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process: Recruiter Screen Hiring Manager Screen Design ...

cleansed, conformed business layers) while securely handling identifiable data. Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark. Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across … Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse). Big Data Processing: Deep technical expertise with Apache Spark/Azure Databricks for distributed compute, memory optimization, and Delta Lake formats. Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL ...

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 ...

business leaders. Strong presentation, demo, and storytelling skills, with the ability to explain complex technical concepts clearly and credibly. Familiarity with SQL, Python, R, Apache Spark, or similar technologies is a plus. Experience with Alteryx or similar analytics platforms is highly desirable. Ability to work independently ...

with data warehousing concepts and dimensional modeling. Strong experience in cloud platforms such as AWS/Azure/GCP. Experience with big data technologies (Spark, Hadoop, Kafka). Knowledge of API integrations and microservices-based data ingestion. Experience working in Agile/Scrum environments. Banking Domain Experience (Mandatory) Experience ...

critical data ecosystem while supporting the delivery of high-value data products. Key Responsibilities Design, build and maintain scalable data pipelines using Databricks and Apache Spark. Develop and optimise batch and streaming data workflows, ensuring reliability, scalability and performance. Contribute to the design and implementation of modern Lakehouse data ...

alignment with business priorities and best practice Implementing robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines and Azure Databricks (PySpark/Spark SQL) to support batch and streaming data processing Designing and delivering real-time and batch data ingestion solutions using Azure Event Hubs, Kafka, Databricks ...

continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM ...

continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM ...

continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.)Knowledge of programming languages (e.g. Java, Python, SQL)Hands-on experience with SQL/NoSQL database design. Degree in STEM ...

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 ...

Cosmos DB, including SQL API and query optimisation C#, ASP.NET and .NET Core Cosmos DB SDKs and NoSQL data modelling Change Data Feed and Spark integration PySpark and Apache Spark Microsoft Fabric data pipelines Partitioning, indexing and consistency levels Pytest and automated testing Git and GitLab DevOps ...

platforms for performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable ...

platforms for performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable ...

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 ...

into a coherent operational story. Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines. Data platforms & analytics systems ...

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 ...

driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern ...

driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern ...

cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice‐to‐have: Experience with Spark, CI/CD pipelines, and orchestration tools. Nice‐to‐have: Knowledge of Elasticsearch or digital/web analytics platforms. Nice‐to‐have: Understanding ...