1 to 25 of 80 Permanent Apache Spark Jobs in England

renowned financial services organisation Your new roleWe are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis … performance, reliability, and scalability.The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. It is primarily Java-based, with Python strongly encouraged; experience across Java, Python, and Scala is ideal, with Java and Python being the preferred combination.The role sits within ...

renowned financial services organisation Your new roleWe are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis … Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong Spark development experience rather than design, infrastructure, or management responsibilities.What you'll need to succeed Strong hands-on experience with Apache Spark - Writing ...

improve team quality Support production systems and troubleshoot issues Write clean, tested, and maintainable code Tech Stack Python & SQL AWS (EMR, Athena, Lambda) Apache Spark (Scala or PySpark) Big data/distributed processing tools What They’re Looking For Strong experience as a Data Engineer using Python … Experience working with AWS or similar cloud platforms Hands-on experience with Apache Spark Ability to work with large, complex datasets Strong problem-solving and analytical mindset Understanding of CI/CD, testing, and agile development practices Confident communicating with technical and non-technical stakeholders Exposure ...

help other members of the team. · Experience provisioning and managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning … managing Apache Airflow. · Exposure to using AI tools to enhance productivity and quality. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether ...

with NoSQL databases. Experience with vector databases used in modern AI systems. Strong programming experience in Python Experience within the following technologies is desirable - Apache Spark, Apache Airflow, Kafka, Elasticsearch/Open Search, PostgreSQL, MongoDB, Pandas, Polars About the Package £100k - £110k on the base ...

NoSQL technologies Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) Experience with big data technologies such as Spark, Hadoop, or Kafka Proficiency with ETL/ELT tools and frameworks (e.g. Airflow, dbt, Informatica) Strong programming skills in Python, Java, Scala, or similar Experience ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments. Experience implementing and configuring training simulation ...

data estate. Deep expertise in Microsoft Azure cloud services - ADF, ADLS, Synapse, Purview. Databricks - Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large-scale distributed computing and performance tuning. Microsoft Fabric - OneLake and DirectLake integration. Azure Synapse Analytics for enterprise-scale data warehousing. Infrastructure ...

Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure or GCP also considered ...

data estate. Deep expertise in Microsoft Azure cloud services - ADF, ADLS, Synapse, Purview. Databricks - Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large-scale distributed computing and performance tuning. Microsoft Fabric - OneLake and DirectLake integration. Azure Synapse Analytics for enterprise-scale data warehousing. Infrastructure ...

schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud … Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. ...

/CD platform (Github Actions & Admin), Password/Secret management (hashicorp vault). Strong Data related programming skills SQL/Python/Spark/Scala. Database technologies in relation to Data Warehousing/Data Lake/Lake housing patterns and relevant experience when handling structured and non-structured data ...

models are always running, always accurate, and always improving. Key Responsibilities ML Pipeline Orchestration & Automation Own and extend Circadia’s ML pipeline orchestration using Apache Airflow, including training, evaluation, and deployment workflows. Build and maintain automated pipelines for model retraining, validation, and promotion across development, staging, and production environments. … closely related infrastructure role. Strong proficiency in Python for ML pipeline development, tooling, and automation. Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow. Experience with model registries and experiment tracking platforms (MLflow preferred). Experience deploying and operating ML workloads on AWS (Batch ...

code for data workloads (Terraform or Bicep) * Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads * MongoDB - document … documented data products * Nice to Have * Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem * dbt or equivalent SQL transformation layer; experience building ...

keep our business moving, bringing fresh thinking and technical flair to every challenge. Your voice will shape our data design principles, your ideas will spark conversation across engineering forums, and your expertise in analytics and operational processing will help unlock smarter, faster decision-making. Key Actions Work with Data … years experience across BI, data warehousing, data management, ETL and database technologies Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both ...

keep our business moving, bringing fresh thinking and technical flair to every challenge. Your voice will shape our data design principles, your ideas will spark conversation across engineering forums, and your expertise in analytics and operational processing will help unlock smarter, faster decision-making. Key Actions Work with Data … years’ experience across BI, data warehousing, data management, ETL and database technologies Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both ...

experience working with data warehouses. Solid understanding of ETL/ELT design and data pipeline optimisation. Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka. Strong problem-solving skills and the ability to collaborate effectively across teams. What's on offer ...

experience building and deploying machine learning and AI solutions in production. Hands‐on experience with: Python (PyTorch, TensorFlow, scikit‐learn) Data engineering tools (SQL, Spark, Airflow or similar) LLMs, NLP, and document intelligence (e.g. RAG, embeddings) Experience with cloud platforms (AWS, Azure, or GCP). Understanding of MLOps ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Improve engineering standards, processes, and tooling ...

auditable, lineage-aware, idempotent, and resilient in regulated environments. Implement robust data quality controls including testing, validation, monitoring, and alerting. Drive performance optimization across Spark and Snowflake workloads. Partner with Product, Engineering, DevOps, and Regulatory teams to translate requirements into scalable technical designs. Contribute to the continuous improvement ...