1 to 25 of 123 Apache Spark Jobs in the UK excluding London

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 ...

Data Engineer 6 Month Contract Location: London (Onsite 4 days a week) Rate: £700 - £800 per day (INSIDE IR35) Skills: Python, Azure, Kubernetes, Apache Airflow, Apache Spark, DV Clearance We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will … Work across Azure environments on the low side Support data engineering workloads within Kubernetes environments on the high side Develop and maintain workflows using Apache Airflow Work with Apache Spark for large-scale data processing Support the ongoing development and improvement of established data pipelines Help ensure ...

analytics, reporting, AI/ML, and data-driven decision making across the organization. The ideal candidate possesses strong expertise in modern data engineering practices, Apache Spark, cloud-based data platforms, and lakehouse architectures. As a senior individual contributor, the candidate will provide technical leadership, mentor junior engineers, drive … business stakeholders to deliver trusted, scalable, and analytics-ready data products. Key responsibilities Design, develop, and maintain scalable batch and streaming data pipelines using Apache Spark, cloud-native technologies, and modern data platforms. Build and optimize ETL/ELT frameworks to ingest, transform, validate, and curate data from ...

design, implement, and optimize enterprise-scale data platforms using the Databricks Lakehouse Platform . The ideal candidate will have deep expertise in Databricks architecture, Apache Spark, Delta Lake, data engineering, cloud platforms, and enterprise data solutions. Key Responsibilities Design and architect Databricks Lakehouse solutions for large-scaleenterprise data … Databricks implementation, including architecture, development, deployment, and optimization. Define Databricks workspace architecture, clusterstrategies, security models, and operational standards. Design and developscalable data pipelinesusing Databricks, Apache Spark, PySpark, SQL, andDelta Lake . Implement data ingestionframeworks supporting batchand real-timedata processing. Design Delta Lake architectures including: Delta tables Medallion architecture ...

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/ ...

application components, microservices, and data integration layers to support high-throughput regulatory reporting. Big Data Processing: Develop and optimize distributed data processing jobs using Apache Spark, Hadoop, and Hive to aggregate and transform large-scale financial datasets. Real-Time Streaming: Build and maintain real-time data ingestion … streaming pipelines using Apache Kafka. Database Management: Design and optimize data models in MongoDB and relational databases, ensuring high performance for complex queries and data storage. Agile Execution: Drive sprint planning, task estimation, and daily progress within an Agile/Scrum framework to ensure timely delivery of project milestones. ...

data analysis, modelling, and visualization to identify patterns and insights. Ensure data quality, reliability, and security across systems. Work with distributed computing frameworks (e.g., Spark, Hive, Hadoop) to process and analyse large datasets. Stay up to date with the latest trends and technologies in big data, analytics, and cloud … skills in languages such as Python, Java, or Scala. Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data visualization tools and business intelligence (e.g., Power ...

Senior Data Engineer (Databricks) - London (Hybrid) - Up to £85,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a fast-growing technology business that's investing heavily in its data platform and engineering capability. This is an opportunity to join a highly collaborative team … progression within a growing technology business. Key Experience Required Proven experience as a Data Engineer within production environments. Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python, and SQL. Experience building and supporting scalable ETL/ELT pipelines. Strong understanding of distributed data processing and 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 ...

data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end‐to‐end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non‐relational, document ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch … 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, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data products ...

Experience building applications on public cloud platforms like AWS, GCP, and Azure, with a preference for AWS. Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services. #J-18808-Ljbffr ...

data warehouses and data lakes. (Preferred) Experienced in data ingestion, processing, transformation, and delivery using batch, streaming, and real‐time methods. (Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting, and AWS CLI. (Preferred) Great background in building and managing AWS platforms for analytics and data lake workloads, including application and framework management. (Preferred ...

data warehouses and data lakes. (Preferred) Experienced in data ingestion, processing, transformation, and delivery using batch, streaming, and real‐time methods. (Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting, and AWS CLI. (Preferred) Great background in building and managing AWS platforms for analytics and data lake workloads, including application and framework management. (Preferred ...

common technical standards and ways of working, and presenting these to the community Here's a snapshot of the technologies that we use: Scala Apache Spark Databricks Apache Parquet Azure Cloud Platform Azure DevOps (Test plans, Backlogs, Pipelines) GIT What we're looking for We'd love ...

maintain scalable data pipelines data lakes and data warehouse solutions on AWS The role focuses on developing high performance data engineering solutions using PySpark Spark Python and AWS services enabling secure reliable and efficient data processing and analytics across enterprise platforms . Hybrid working: The places that you work … unable to work at home 100% of the time. Your Role: Design develop and maintain scalable batch and realtime data pipelines using PySpark Spark Python and AWS services Build and optimize data lakes and data warehouse solutions ensuring data quality security and accessibility Develop reusable productiongrade ETLELT frameworks ...

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 ...

Python, Java or Scala, and SQL. Hands-on experience building and operating large-scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud-native data ...

standards. Skills Strong experience in SQL and data modeling concepts. Hands-on experience with ETL/ELT development. Proficiency in Python, Scala, or Spark-based data processing. Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Data Warehouse and Data Lake architectures. Experience with orchestration tools ...

continuous learning to understand new data management systems Strong proficiency in hands-on development using industry-standard tools and languages (e.g., SQL, Python, Spark, cloud platforms), with a commitment to code quality and delivery excellence Preferred qualifications, capabilities, and skills Hands-on experience with Databricks for scalable data engineering … analytics, and collaborative development, as well as proficiency in managing large datasets using Apache Iceberg for efficient, reliable table management and data lake optimization Experience architecting and implementing enterprise-scale data warehouses on cloud platforms (e.g., AWS, Azure, GCP), including migration from legacy systems Advanced proficiency in designing ...

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 ...

with Snowflake and Databricks native solutions. Experience on Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL and NoSQL). Familiarity with cloud platforms (AWS, Azure) and their data services. Understanding ...

/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready ...