1 to 25 of 108 Apache Spark Jobs in the UK

code and sharing knowledge across the team Supporting production systems when needed The platform uses a mix of modern data tooling including AWS and Apache Spark, so there's plenty of opportunity to work with big data technologies. What they're hoping you'll bring … complex data problems An interest in improving pipelines, tooling and processes A collaborative approach and willingness to share ideas Exposure to tools like Apache Spark, modern data platforms, or AI tools for development productivity would be a bonus but isn't essential. The setup The team works ...

acceptable). Experience with NoSQL databases. Experience with vector databases used in modern AI systems. Strong programming experience in Python. Frameworks/Infrastructure:- Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch ...

flexibility to attend key meetings onsite. Required: Good knowledge and experience using programming languages such as Python, Java or SQL and tools such as Apache Spark or in this instance LakeFS, for data processing and management. Useful: R, Apache Spark Very Useful: Python, SQL, JSON, LakeFS ...

data sets can be effectively combined and analysed. They can also utilise programming languages such as Python, Java or SQL and tools such as Apache Spark or in this instance LakeFS, for data processing and management. Useful - R, Apache Spark Very useful - Python, SQL, JSON, LakeFS. ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

team members, building technical expertise and capability Key Responsibilities Develop production-ready data pipelines and processing jobs using batch and streaming frameworks such as Apache Spark and Apache Beam Apply expertise in data storage technologies including relational, columnar, document, NoSQL, data warehouses, and data lakes Implement modern ...

Skills & Experience Strong experience with Python and/or SQL in a production environment. Hands-on experience with modern data engineering frameworks such as: Apache Spark, Databricks Airflow/Prefect/Dagster Kafka/EventHub/Kinesis Experience building data solutions on at least one major cloud platform ...

downstream data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data governance, security … practice routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ( AWS preferred , Azure ...

logic into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages ...

data platform and engineering capability as the business continues to scale its trading operations. They are looking for a Data Engineer with strong Apache Airflow experience to help design and build the pipelines that power trading, analytics and commercial decision-making. This is a great opportunity to join … platform and the opportunity to work with modern open-source technologies . What You’ll Be Doing Designing and building data pipelines orchestrated with Apache Airflow Developing ETL/ELT workflows in Python and SQL to process trading and operational data Building reliable, scalable data infrastructure to support analytics ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

evolves. • Is versatile, displays leadership qualities and is enthusiastic to take on new challenges across the data stack. Job Requirements • Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation. • Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design. • Hands … experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark (preferably in Databricks). • Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, GCP Cloud Build, and Jenkins. • Skilled in scripting languages ...

/CD pipelines (e.g. Azure DevOps) Excellent communication skills and the ability to engage confidently with senior and executive stakeholders Desirable Experience Agentic AI, Apache Spark, or enterprise architecture frameworks Enterprise data integration and Microsoft BI technologies Experience with AWS or GCP and additional CI/CD tooling ...

/CD pipelines (e.g. Azure DevOps) Excellent communication skills and the ability to engage confidently with senior and executive stakeholders Desirable Experience Agentic AI, Apache Spark, or enterprise architecture frameworks Enterprise data integration and Microsoft BI technologies Experience with AWS or GCP and additional CI/CD tooling ...

Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/ ...

practices, including ETL/ELT, data warehousing and data modelling. - Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake. - Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation. - Experience building and managing production data services, integrating ...

Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data ...

applications. Knowledge of MLOps, DevOps, CI/CD, and automated model pipelines within Foundry and cloud-based environments. Familiarity with big data ecosystems (Foundry, Spark, Hadoop) and commercial data source integration. ...

deliver high-quality, consumable datasets while contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding ...

years (Senior) of data engineering experience Hands-on experience with Palantir Foundry and/or Foundry Data Platform (FDP) Strong proficiency in: Python SQL Spark (PySpark or SparkSQL) Experience building production data pipelines in cloud environments (AWS, Azure, or GCP) Understanding of data modeling, schema design, and metadata management ...

Ecosystem (Preferred/Good to Have) Azure data services experience in one or more: Azure Synapse Analytics/Dedicated SQL Pools Azure Databricks/Spark ADLS Gen2, Azure SQL DB, Managed Instance Event Hub/Kafka, Stream Analytics (if real-time involved) Monitoring & observability: Azure Monitor, Log Analytics, Application ...