1 to 25 of 121 Apache Spark Jobs in the UK

build and manage scalable data pipelines and data analytic solutions that support strategic, ad hoc, and AI-driven data analytics using technologies such as Apache Spark, Apache Flink, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, and Delta Tables. Innovation and Research: Drive innovation by researching … building high-throughput, low-latency systems to support short- and long-running processes at scale. Hands-on experience with event-driven platforms like Apache Kafka, RabbitMQ, Apache Pulsar, and other messaging systems for system integrations and real-time data streaming. Strong background in processing large batch and streaming ...

automation to ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client … languages like Python, Bash, or Go to automate tasks and build necessary tools. Expertise in designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. ...

Data Platform Engineer - ADF, Terraform, Synapse, Spark £Market Rate (Inside IR35) London/Hybrid 6 months We are currently working with a client who urgently require a Data Platform Engineer with hands on expertise in Synapse Spark Architecture, ADF and Terraform (IaC), to assist in designing and delivering … Data Platform Engineer Advanced knowledge of Azure Data Factory (ADF), including network configurations and integration runtime options. Strong expertise in Synapse Analytics Spark, Azure Key Vault, and Data Lake Storage Accounts. Experience in efficient handling of large-scale data Deep understanding of Azure DevOps pipelines and deploying Terraform (Infrastructure ...

Data Platform Engineer - ADF, Terraform, Synapse, Spark £Market Rate (Inside IR35) London/Hybrid 6 months We are currently working with a client who urgently require a Data Platform Engineer with hands on expertise in Synapse Spark Architecture, ADF and Terraform (IaC), to assist in designing and delivering … Data Platform Engineer Advanced knowledge of Azure Data Factory (ADF), including network configurations and integration runtime options. Strong expertise in Synapse Analytics Spark, Azure Key Vault, and Data Lake Storage Accounts. Experience in efficient handling of large-scale data Deep understanding of Azure DevOps pipelines and deploying Terraform (Infrastructure ...

platform. Key Skills/requirements Lead the migration of existing AWS-based data pipelines to Databricks. Design and implement scalable data engineering solutions using Apache Spark on Databricks. Collaborate with cross-functional teams to understand data requirements and translate them into efficient pipelines. Optimize performance and cost-efficiency … security, and access control within Databricks. Provide technical mentorship and guidance to junior engineers. Must-Have Skills: Strong hands-on experience with Databricks and Apache Spark (preferably PySpark). Proven track record of building and optimizing data pipelines in cloud environments. Experience with AWS services such ...

Tableau best practices, advising senior stakeholders and team members. Nice to haves: Python and/or exposure to Hive, Impala, and Spark ecosystem technologies (HDFS, Apache Spark, Spark-SQL, UDF, Sqoop) Please apply within for further details or call on 07393149627 Alex Reeder Harvey Nash Finance ...

Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes ...

Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes ...

experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g. ...

Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing ...

data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working ...

data warehousing concepts, and distributed computing. Familiarity with CI/CD, version control, and DevOps practices. Nice-to-Have Experience with streaming technologies (e.g., Spark Structured Streaming, Event Hub, Kafka). Knowledge of MLflow, Unity Catalog, or advanced Databricks features. Exposure to Terraform or other IaC tools. Experience working ...

Excellent communication and documentation skills. · Ability to work independently and lead cross-functional teams. · Adaptability to rapidly evolving technological environments PREFERRED SKILLS · Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. · Git, CI/CD pipelines. · Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. · Exposure to AI/ ...

keys, sort keys , and workload management. Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations. Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark. Ensure high … data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement best practices. Perform data quality checks and validation ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

Data Software Engineer (Python Spark SaaS) Nottingham/WFH to £100k Are you a data centric Software Engineer with strong Python coding skills? You could be progressing your career in a senior, hands-on role Data Software Engineer at a scaling, global technical services company as they look … collaboratively problem solving as part of an Agile development using a range of technology to create data pipelines with a focus on Python and Spark; you'll be working with Azure, ETL pipelines and CI/CD, ingesting and analysing terabytes of data with varying structures from a range ...

proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. ...

proficiency in programming languages such as Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. ...

platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala ...

development. Hands-on experience with Azure Data Factory, Azure Data Lake, and Azure SQL Database. Exposure to big data technologies such as Hadoop, Spark, and Databricks. Experience with Azure Synapse Analytics or Cosmos DB. Familiarity with data governance frameworks (e.g., GDPR, HIPAA). Experience implementing CI/CD pipelines ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

control. Excellent collaboration and communication skills, with strong attention to detail and data quality. Desirable: Exposure to AI/ML data preparation, Python or Spark, Data Vault 2.0, data governance, GDPR, and experience working in mobility, logistics, financial services, or tech-enabled environments. What ...

data engineering or infrastructure roles, with at least 2 years of experience in Azure cloud data platforms. Deep understanding of the big data ecosystem (Spark, Delta Lake, Kafka, Hive, etc.). Hands-on experience with Azure cloud services, especially in data and networking. Strong proficiency in Databricks (including workspace ...

data engineering or infrastructure roles, with at least 2 years of experience in Azure cloud data platforms. Deep understanding of the big data ecosystem (Spark, Delta Lake, Kafka, Hive, etc.). Hands-on experience with Azure cloud services, especially in data and networking. Strong proficiency in Databricks (including workspace ...