1 to 25 of 49 Apache Spark Jobs in the North of England

United Kingdom A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical and engineering skills to deliver trusted … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

deliver secure, reliable, and scalable services that support critical public sector operations. Key Responsibilities Design, develop, and maintain data pipelines and processing workflows using Apache Spark and Python Build, schedule, and monitor workflow orchestration using Apache Airflow Develop and maintain infrastructure-as-code using Terraform across … sprint planning, refinement, and other agile ceremonies Required Skills & Qualifications Experience with AWS services Experience with Terraform for infrastructure as code Experience with Apache Spark for data processing Experience with Apache Airflow for workflow orchestration Experience with Docker and containerisation Experience building and maintaining CI/ ...

engineers where needed. Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering best ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We … version control.* **Data Engineering Stack** Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL.* **Orchestration** Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools ...

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

stakeholder/data consumer management. Strong programming skills in languages such as Python, familiarity with large scale, distributed data processing engines such as Apache Spark, with a solid understanding of data structures and algorithms. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL) or NoSQL databases ...

Automated deployments across environments. Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data ...

Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse architectures and dimensional modelling. Experience delivering scalable, high-quality data solutions to support analytics ...

maintain SC clearance. Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security ...

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 ...

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 ...

Software Engineer on large software applications. Proficient in technologies including Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, and Apache Spark. Experience working with one or more of the following database systems: DynamoDB, DocumentDB, MongoDB. Demonstrated expertise in unit testing and tools such as JUnit ...

modern cloud engineering practices. Where you land, you’ll be working with some of the biggest datasets in the UK – using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern ...

modern cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern ...

modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms ...

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 ...

Direct knowledge of Matillion’s Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms. Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza). Education: Bachelor’s or Master’s degree in Computer Science ...

problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies Ability to communicate technical concepts clearly to non-technical stakeholders Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm ...

degree, or experience in a professional field or military Experience as technical specialist in design and architecture Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) Experience in consulting, design and implementation of serverless distributed solutions Experience in software development with object oriented language Experience in cloud based ...

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured ...

Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

Building and maintaining data pipelines. Data modelling and warehousing fundamentals. dbt or similar modern transformation frameworks Experience with AWS data services. Exposure to Kafka, Spark, streaming data, or modern BI tools. Interest in AI, analytics engineering, and data products THE BENEFITS You will receive a salary ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...