1 to 25 of 254 Apache Spark Jobs in London

computations are represented, how query plans are optimized, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers … want to advance the capabilities of modern data systems and apply that work to consequential problems. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog ...

computations are represented, how query plans are optimised, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers … learn how modern data systems work from the inside and apply that knowledge to consequential problems. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog ...

analysis and returning the results to various business systems. We build on a vast variety of technological stacks, from building products on top of Apache Kafka, Apache Spark, and Apache Beam to integrating Neo4j into Google Dataflow Templates and Microsoft Fabric. We also build backend components … ideally have professional experience developing software systems, either in cloud or on-premises, involving either of the following; Distributed event streaming platforms, such as Apache Kafka or similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses ...

platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale ...

robust, efficient, and ready to support advanced analytics and business insights. Responsibilities Design, develop, and implement large-scale data pipelines using tools such as Apache Spark, Hadoop, and Apache Hive to process vast amounts of structured and unstructured data. Collaborate with cross-functional teams to understand data … experience with SQL-based databases including Oracle and Microsoft SQL Server; solid understanding of database design principles. Familiarity with big data frameworks like Hadoop, Spark, Apache Hive, and related ecosystem components. Experience working with ETL tools such as Informatica for data integration tasks. Demonstrated ability to analyze complex ...

expertise in writing complex, optimized SQL queries for data extraction and transformation. ETL/ELT: Hands-on experience building data pipelines using frameworks like Apache Spark, Apache Airflow, DBT, Fivetran, Matillion, or equivalent. Databases: Solid understanding of relational databases (e.g., PostgreSQL, MySQL) and experience with modern data ...

practices. Responsibilities will include: Providing Staff-level technical leadership across complex data engineering and modernisation initiatives. Remaining deeply hands‐on with Python, PySpark and Apache Spark , independently building and proving engineering solutions. Designing and optimising scalable data pipelines and processing frameworks across AWS . Tackling complex Spark performance challenges , including shuffles, joins, data skew, partitioning and memory optimisation. Designing and challenging engineering approaches across AWS Glue, Apache Airflow and associated technologies. Reviewing existing code, identifying performance bottlenecks and driving improvements in engineering quality. Establishing reusable engineering patterns, frameworks and approaches to accelerate large‐scale data ...

product managers, to understand data requirements and deliver high-quality solutions Architect and implement data ingestion, transformation, and storage processes using tools such as Apache Spark, Azure Data Factory, and other similar technologies Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery Mentor and guide junior … Engineering, or a related field 7+ years of experience in data engineering, with at least 3 years in a leadership role Strong proficiency in Apache Spark, Azure Data Factory, and other data pipeline tools Experience with cloud platforms such as Azure, AWS, or GCP Solid understanding of data ...

related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives Partner with business ...

risks, dependencies and unknowns early and propose pragmatic solutions.Data EngineeringDesign and build scalable, resilient and maintainable enterprise data solutions.Apply strong engineering practices using Databricks, Apache Spark/PySpark, Python, SQL and modern lakehouse technologies.Develop reusable patterns for data ingestion, transformation, integration and delivery.Design for incremental processing, schema evolution … understanding of the practices and controls required to use it safely and effectively.Strong knowledge of modern data engineering, distributed processing and Lakehouse concepts.Experience with Apache Spark or comparable large-scale data technologies.Experience designing and implementing cloud-based data platforms and products.Strong knowledge of data modelling, ingestion, transformation ...

critical to meeting Nomura’s regulatory and internal liquidity reporting requirements.Architect, develop, and enhance a large-scale data processing platform using Scala and Apache Spark on AWS \ MinIO.Work closely with business users to analyse business requirements and deliver high-quality data for regulatory reporting, including liquidity and risk … English with strong written & verbal communication skillsExcellent teamwork skills, comfortable with working as part of a globally spread-out teamPreferred:Scala ExperienceExperience with Apache Spark SQL/DataframesKnowledge of Basel III and liquidity reportingExposure and interest in using AI coding tools such as Claude Code and GitHub CopilotNomura ...

critical to meeting Nomura’s regulatory and internal liquidity reporting requirements. Architect, develop, and enhance a large-scale data processing platform using Scala and Apache Spark on AWS MinIO. Work closely with business users to analyse business requirements and deliver high-quality data for regulatory reporting, including liquidity … strong written & verbal communication skills Excellent teamwork skills, comfortable with working as part of a globally spread-out team Preferred Scala Experience Experience with Apache Spark SQL/Dataframes Knowledge of Basel III and liquidity reporting Exposure and interest in using AI coding tools such as Claude Code ...

critical to meeting Nomura’s regulatory and internal liquidity reporting requirements. Architect, develop, and enhance a large-scale data processing platform using Scala and Apache Spark on AWS \ MinIO . Work closely with business users to analyse business requirements and deliver high-quality data for regulatory reporting, including … strong written & verbal communication skills Excellent teamwork skills, comfortable with working as part of a globally spread-out team Preferred: Scala Experience Experience with Apache Spark SQL/Dataframes Knowledge of Basel III and liquidity reporting Exposure and interest in using AI coding tools such as Claude Code ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Experience of working in an Agile delivery team Strong analytic skills related to working with unstructured datasets Python (PySpark, Pandas, PyArrow) Distributed data processing (Apache Spark) Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) Cloud services (AWS, Azure or GCP) Messaging/Streaming (Kafka ...

Senior Data Engineer Role (Python/Spark/Databricks) - Hybrid - Contract - Banking Role - Senior Data Engineer Rate - £850 p/d (Inside IR35) Duration - 6 months with very likely extension Location - Hybrid/Liverpool Street (London) - 3 days per week in a Liverpool Street office About the Role Global … delivering critical data platforms and analytics capabilities across the business. This is a genuinely hands-on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise-scale data platforms, working ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands ...

stores). Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop). Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis). End-to-end exposure … data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster). Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background ...

software engineering experience using Python and/or other modern programming languages. Experience developing and orchestrating data pipelines using technologies such as DBT, Apache Spark, Airflow, Dagster, Kafka, Flink, or equivalent tooling. Solid understanding of data lakehouse, warehouse, and medallion architecture patterns. Experience applying DevOps and DataOps best ...

across the team and support the continued growth of Unifeye. What You'll Do Design and build scalable batch and streaming data pipelines using Spark and Databricks. Develop modern Lakehouse architectures using Delta Lake and Medallion (Bronze, Silver and Gold) design principles. Build robust ingestion frameworks from APIs, files … pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with ...

field. Proven experience designing and building scalable data pipelines (ETL/ELT) for batch and streaming use cases using modern technologies (e.g., Python, SQL, Spark, Flink, Airflow) and advanced knowledge on the workings of these. Hands-on experience in building and operating workloads Databricks. Hands-on experience creating data ...

across the team and support the continued growth of Unifeye. What You'll Do Design and build scalable batch and streaming data pipelines using Spark and Databricks. Develop modern Lakehouse architectures using Delta Lake and Medallion (Bronze, Silver and Gold) design principles. Build robust ingestion frameworks from APIs, files … pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential Strong commercial experience building production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with ...

platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns … Transformation and quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well ...

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting ...

operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...