101 to 125 of 372 Apache Spark Jobs in England

equivalent apprenticeship/work experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property ...

equivalent apprenticeship/work experience in a subject such as Mathematics, Statistics, Computer Science, or Geography DESIRABLE Exposure to Big Data Analytics (BigQuery, Apache Spark), Parallel Computing (Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Graph Computing, or Microservices Relevant industry sector knowledge across retail, property ...

platforms using AWS, Azure or Google Cloud. Expertise in data modelling, SQL, NoSQL and modern database technologies. Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks. Programming knowledge in Python, Scala, Java or similar languages. Experience architecting AI and machine learning solutions, including ...

designing data platforms using AWS, Azure or Google Cloud.Expertise in data modelling, SQL, NoSQL and modern database technologies.Experience with big data technologies, such as Apache Spark, Hadoop or distributed computing frameworks.Programming knowledge in Python, Scala, Java or similar languages.Experience architecting AI and machine learning solutions, including deploying models ...

bulletproof data quality, and oversee mission-critical downstream activation. Requirements You have deep expertise in building large-scale data engineering solutions using SQL, Python, Apache Spark, and Databricks. You bring proven experience designing resilient workflows with strict dependency management and idempotent processing. You are comfortable establishing robust ...

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 ...

agent frameworks. Inference and edge: TensorRT, ONNX Runtime, vLLM, Nvidia Triton Inference Server, KServe, Nvidia Jetson (e.g. Jetson Thor). Data and platforms: Databricks, Apache Spark, MLflow, SQL, AWS, GCP, Docker. Working at Rowden We are committed to building a flexible, inclusive, and enabling company. ...

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 ...

grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business ...

Proficiency in Python scripting, including experience using Python modules for data munging. Up‐to‐date knowledge of data processing technologies and platforms, such as Spark (Databricks). Experience in data modelling to optimise solution performance. Experience using Azure DevOps, with exposure to Continuous Integration and Continuous Delivery/Deployment ...

reliable data processing in a structured migration environment. Hands‐on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python ...

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 ...

experience you need as the SeniorData Engineer: 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 ...

Designed and delivered modern data platforms end to end on AWS and/or Databricks Still writes production-grade code: strong Python and SQL, Spark, dbt or equivalent, infrastructure-as-code (Terraform preferred) Track record in a consultancy, systems integrator or other client-facing setting — comfortable being accountable ...

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 ...

SQS. Strong experience with DevOps and Infrastructure as Code tooling, including Terraform, CI/CD pipelines, Git and Jenkins. Strong experience developing on Apache Spark or Hadoop. Significant programming experience using Scala or Python. Experience with Configuration as Code principles and API integration. Strong understanding of cloud security ...

bulletproof data quality, and oversee mission-critical downstream activation. Requirements You have deep expertise in building large-scale data engineering solutions using SQL, Python, Apache Spark, and Databricks. You bring proven experience designing resilient workflows with strict dependency management and idempotent processing. You are comfortable establishing robust ...

migration strategies as well as with machine learning, LLMs, and agentic AI workflows. Proficient in programming, debugging, and problem‐solving using SQL, Python, Apache Spark, cloud platforms, and Lakehouse architectures and with AI tools. Experience collaborating with Global System Integrators (GSIs) and third‐party consulting organizations to drive ...

experience as the Senior Data Engineer: 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 Git, Jenkins ...

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 ...

years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/focus on backend infrastructure Experience with cloud platforms and services for data storage ...

reliable data processing in a structured migration environment. Hands-on experience building and operating data pipelines on Azure, AWS or Google Cloud. Experience with Spark, PySpark, Databricks or comparable distributed processing technologies. Experience building modular, tested and documented transformations using dbt or an equivalent approach. Strong SQL and Python ...