1 to 25 of 87 Permanent Apache Spark Jobs in the UK

British Citizenship, or ILR (Indefinite Leave to Remain), or UK Settlement Visa. We do not provide visa sponsorship. Key Requirements:Must have skills:-Spark & Scala Nice to have skills:-Spark Streaming, Hadoop,-Hive,-SQL,-Sqoop,- Impala Detailed Job Description: At least 8+ years of experience and strong knowledge … fundamental Data Structures and their usage At least 8+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies. Having expertise in Spark Core, Spark SQL and Spark Streaming. Experience with Hadoop, HDFS, Hive and other ...

British Citizenship, or ILR (Indefinite Leave to Remain), or UK Settlement Visa. We do not provide visa sponsorship. Key Requirements:Must have skills:-Spark & Scala Nice to have skills:-Spark Streaming, Hadoop,-Hive,-SQL,-Sqoop,- Impala Detailed Job Description: At least 8+ years of experience and strong knowledge … fundamental Data Structures and their usage At least 8+ years of experience in designing and developing large scale, distributed data processing pipelines using Apache Spark and related technologies. Having expertise in Spark Core, Spark SQL and Spark Streaming. Experience with Hadoop, HDFS, Hive and other ...

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 ...

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 ...

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 ...

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 ...

requirements Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ ...

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 ...

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 ...

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/ ...

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 ...

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 ...

GenAI workloads. Strong knowledge of data modelling, ETL processes, SQL, and scripting languages such as Python. Experience with Big Data technologies (e.g., Hadoop, Spark) and data visualisation tools (e.g., Tableau, Power BI). Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.). Experience in implementing security ...

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 ...

Pandas, NumPy, and Matplotlib. · Proficiency with cloud platforms like AWS, Azure, or Google Cloud Platform (GP). · Familiarity with big data technologies like Hadoop, Spark, or Kafka · Experience with SQL/NoSQL databases and data pipelines. · Experience with containerization and orchestration (e.g., Docker, Kubernetes). Preferred Qualifications: · Hands ...

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 ...

commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative Culture ...