1 to 25 of 35 Permanent Apache Spark Jobs in the North of England

Apache Spark Python AWS Cloud Data Pipelines 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 … 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 ...

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 ...

data processing. In this role, you will architect and maintain production-grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. You will collaborate with cross-functional partners across Finance, Accounting, and Analytics to translate complex … efficient code, ensuring adherence to best practices through code reviews Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance Develop and fine-tune complex queries ...

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 … other agile ceremonies Required Skills & Qualifications Experience developing software using Python 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/ ...

engineering teams. Strong Python and SQL skills, with experience working with large-scale datasets and distributed data processing environments. Experience with technologies such as Apache Spark and modern data engineering frameworks. Experience with cloud platforms and data services, ideally AWS, including technologies such as Redshift and S3. Experience ...

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 ...

plusWhat it takesMust-Have Skills & ExperienceDeep expertise designing and building scalable data pipelines and data products in cloud environmentsStrong hands-on experience with Databricks, Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

platforms for performance and reliability Collaborate with Agile teams to deliver secure, high-quality solutions Write clean, tested, maintainable code Required Skills: Experience with Apache Spark, Hadoop or similar big data technologies AWS Apache NiFi Python or Java Experience building data pipelines and ETL processes Desirable ...

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 ...

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 ...

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 ...

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 ...

restore methods, DDL generation and manipulation, database access management, schema and object-level high-performance data movement. Build solutions with pushdown optimization, ELT, Spark-based data processing and streaming, replication, partitioning, clustering, change data capture, and time travel. What you’ll bring to the role At least 4 years … scripts, with a particular focus on building and optimizing multi‐threaded, multi‐process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus. Good to have experience in designing and developing AI‐powered solutions using Large Language Models (LLMs), retrieval ...

data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with container technologies ...

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 ...

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 ...

Strong commercial experience in data engineering and modern data platforms. Advanced programming skills in Java or Python. Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks. Experience delivering solutions within AWS or other major cloud platforms. Strong understanding of data architecture, scalability and performance ...

serving training/inference, focusing on cost efficiency, performance, and resilience. Big data & distributed processing: Develop and tune large-scale batch/stream workloads (Spark or similar); improve job efficiency, stability, and operational readiness in production. Software engineering: Strong Python + SQL; apply CI/CD, automated testing, modular ...

Roku in Manchester is looking for a Senior Data Engineer to join the Viewer Product Device & Themed Experiences team. You will design data models and build scalable pipelines across Roku devices, apps, and web/ ...

ensure requirements are understood before design and development. The role focuses on data warehouse and large‐scale data processing using Big Data technologies (Hadoop, Spark), with programming in Scala and Python. You will guide developers, implement best practices, and drive automated testing and CI/CD to production. #J ...

stakeholders. Architecture design informed through the use of principles, patterns, technical radars, practices and standards. AWS Solution expertise and relevant certification - EMR/Spark (Hadoop)/AWS/Data Modelling-Mapping/GitHub/GitLab Technologies Azure AWS Power BI #J-18808-Ljbffr ...

depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools ...

lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while providing ...