51 to 75 of 137 Apache Spark Jobs in the UK

solutions.• Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow.• Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery ...

solutions while remaining hands-on. You should have: Proven experience building production-ready solutions on Google Cloud Expertise with batch and streaming frameworks like Apache Spark or Beam Strong understanding of data storage, pipeline patterns, and event-driven architectures Experience with CI/CD, version control, automated testing ...

skills with both technical and non-technical stakeholders Nice to have: Experience with modern analytics and BI platforms. Knowledge of big data technologies (e.g. Spark, Hadoop). Experience with real-time or event-driven data architectures. Familiarity with data cataloguing and lineage tools. Experience in regulated or data-sensitive ...

optimise Cypher queries for performance and scalability Integrate Neo4j Aura with cloud-native applications (REST, GraphQL, event-driven systems) Manage data ingestion pipelines (Kafka, Spark, ETL tools, APIs) Monitor, tune, and troubleshoot Neo4j Aura performance and availability Implement security, access control, and data governance best practices Collaborate with product ...

/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face ...

teams Strong background in cloud data platforms and modern data architectures Hands-on expertise with Python , data modelling, ETL, and big data technologies (e.g. Spark) Experience operating in regulated or complex enterprise environments Excellent stakeholder management and communication skills Comfortable working with ambiguity and driving change Nice to have ...

machine learning workflows, model lifecycle management, or data engineering platforms. • Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). • Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. • Knowledge of platform security, monitoring, and resilient ...

able to engage technical and non-technical stakeholders Nice to Have: Experience with modern analytics and BI platforms Knowledge of big data technologies (e.g. Spark, Hadoop) Experience with real-time or event-driven architectures Familiarity with data cataloguing and lineage tools Experience working in regulated or data-sensitive environments ...

Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically focused on the deployment and scaling ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

data governance, stewardship frameworks, and operating models Hands-on experience with data engineering and large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability to design and govern secure, scalable, and resilient data ...

ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud-native architectures (Azure/AWS/GCP), containerization, and DevSecOps ...

/Q or similar Experience with Airflow, Dagster or similar tools. Exposure to container technologies: Docker, Podman etc Knowledge of 'big data' technologies (Hadoop, Spark, Parquet) Experience with TAQ data, and exchange connectivity. Compensation Anticipated Salary Range for United States: $100,000 - $150,000 base salary, plus eligible ...

extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like ...

PostgreSQL, MySQL) Strong knowledge of data warehouse, data lake, and lakehouse architectures Experience with ETL/ELT frameworks and orchestration tools (e.g. Informatica, Talend, Apache Airflow) Proven experience establishing and maintaining data governance frameworks Strong understanding of data security, access controls, and compliance requirements Excellent problem-solving, communication …/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with UML/SysML Strong understanding of API integration and microservices data flows ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication … pipelines and analytics platforms. Preferred Qualifications Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with UML/SYSML. Strong understanding of API integration and microservices data flow. TASKS REQUIRED Design and implement enterprise-level data ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures. Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication … pipelines and analytics platforms. Preferred Qualifications: Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with UML/SYSML. Strong understanding of API integration and microservices data flow. If you have a strong background in data ...

architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations using PySpark and Spark SQL Implement data models optimized for analytics and reporting (e.g. star schemas) Monitor, troubleshoot, and optimize performance and cost of data workloads Apply data … version control (Git) and collaborative development workflows Nice to Have Experience with Power BI and semantic models Exposure to streaming technologies (Kafka, Event Hubs, Spark Structured Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance and cataloging tools Experience ...

+ 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities trading platform, who are hiring … Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such ...

organisation Supporting a move towards a product-aligned, hub-based operating model Technology Stack Cloud-first environment with Microsoft Azure Fabric Python, PyTorch SQL Apache Spark Azure Data Factory (ADF) Git What We’re Looking For 3–4 years’ experience in AI/ML engineering, data engineering ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business ...

Technology Stack Cloud data warehouse: Snowflake (preferred); Redshift, BigQuery, or Synapse also considered Orchestration: Airflow or equivalent Streaming/event-driven: Kafka (Flink or Spark Streaming experience a plus) Languages: Python preferred (Java or Scala acceptable) Cloud: AWS What We’re Looking For Strong senior-level experience in data ...

engineers, setting technical standards and driving best practices across the organisation. The role demands hands-on expertise with Azure, big data technologies like Spark and Hadoop, and programming languages including Python. You will also oversee database architecture, data modelling, and ETL processes to ensure seamless integration across multiple platforms ...

models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation ...