1 to 25 of 178 Remote Apache Spark Jobs

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 ...

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 ...

replay, backfill, recoverability and schema evolution Define and enhance operational telemetry, monitoring and platform observability Streaming & Distributed Data Processing Build and optimise solutions using:Apache Kafka Apache NiFi Apache Spark/PySpark Hadoop ecosystem technologies Hive and large-scale data storage platforms Develop scalable matching, enrichment … interested in engineers who can demonstrate strong expertise across several of the following areas: Core Technical Skills Python development in enterprise environments Apache Spark/PySpark Apache Kafka Apache NiFi Hadoop and Hive Advanced SQL REST API integration and development Data modelling and data lineage Distributed ...

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 ...

existing SQL code, dependencies and execution patterns to determine the most effective migration approach. Refactor and optimise complex T-SQL logic for Databricks SQL, Spark SQL and/or PySpark. Identify, remove and rework dependencies on existing Claims dimensional model fact and dimension tables. Ensure migrated datasets and pipelines … available for downstream business consumption. Address architectural differences between Synapse's MPP SQL processing engine and Databricks' Spark-based execution. Optimise query execution, joins, data transformations and pipeline performance. Deliver equivalent or improved pipeline performance following migration. Perform comprehensive reconciliation and validation to ensure data accuracy and consistency with ...

help design and deliver cutting-edge data solutions for customers operating in some of the UK's most complex and challenging environments. Using Databricks, Apache Spark and cloud-native technologies, you’ll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share … opportunity to grow your career while helping customers unlock the power of their data. Responsibilities Design, build and optimise scalable data pipelines using Databricks, Apache Spark, PySpark and Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable ...

should have specialist experience in one or more of the following technologies**Azure Databricks*** Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure … develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data Engineer Associate and Databricks ...

model: Hybrid 3 days on site each week Rate: up to £530 per day --- Responsibilities Design, implement, and maintain high-throughput data pipelines using Apache Spark and cloud-native tools Develop ETL/ELT workflows for managing structured and unstructured data in AWS cloud environments Collaborate with … analytics enablement --- Requirements (Must Have Skills) 5+ years of data engineering experience building high-performing and large-scale data solutions Hands-on expertise in Apache Spark development using Java or Scala (Python experience considered) Strong proficiency in AWS cloud services (S3, EMR, Glue, IAM, etc.) and cloud-native ...

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 ...

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 ...

data products while ensuring compliance with security, governance, and operational standards. Key Responsibilities: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Integrate data from multiple sources … Support platform engineering activities, including CI/CD implementation, environment promotion, performance optimisation, and operational support. Skills we can’t do without: Azure Databricks, Apache Spark, PySpark, and Spark SQL expertise. Experience building enterprise-scale ETL/ELT pipelines within Azure environments. Strong Python and SQL development ...

data products while ensuring compliance with security, governance, and operational standards. Key Responsibilities: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL, and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Integrate data from multiple sources … Support platform engineering activities, including CI/CD implementation, environment promotion, performance optimisation, and operational support. Skills we can’t do without: Azure Databricks, Apache Spark, PySpark, and Spark SQL expertise. Experience building enterprise-scale ETL/ELT pipelines within Azure environments. Strong Python and SQL development ...

Experience Real‐Time Streaming & Data Engineering Strong commercial experience designing and implementing real‐time streaming data platforms. Hands‐on experience with technologies such as Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event‐driven technologies. Experience building high‐volume, low‐latency, resilient ...

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 ...

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 ...

associated Azure technologies. Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems. Develop data transformations using PySpark, Spark SQL, SQL, and Python. Create and maintain curated datasets that support business intelligence, reporting, and analytics. Implement data quality, reconciliation, validation, and monitoring processes. … engineering or business intelligence solutions. Strong proven commercial experience with Databricks. Strong experience developing ETL/ELT pipelines and data integration solutions. Experience using Apache Spark, PySpark, and Spark SQL. Strong SQL development and optimisation skills. Experience working with large and complex datasets from multiple source systems. ...

need to obtain and maintain this clearance as a condition of employment. Nice to have Experience with distributed data processing or streaming tools (e.g. Spark, Kafka) Workflow orchestration (e.g. Airflow, Dagster or similar) Working with LLMs, vector databases, embeddings or RAG patterns MLOps practices: model versioning, deployment and monitoring ...

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 ...

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 ...

Programming-related field Experience influencing technical decisions and supporting capability growth. Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Exposure to infrastructure scaling e.g. Kubernetes Exposure to Ansible and Terraform Understanding of ML algorithms and deployment Experience with SQL Server high-availability ...