1 to 25 of 138 Apache Spark Jobs in the UK excluding London

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 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 ...

Data Engineer 6 Month Contract Location: Hereford (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 ...

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 ...

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 … sprint planning, refinement, and other agile ceremonies Required Skills & Qualifications 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/ ...

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 ...

explore new technologies, share knowledge, and contribute to a culture of excellence and innovation. Design & Build: Develop and optimise data pipelines using Databricks, Apache Spark, and Python. Develop & Deliver: Create scalable data solutions on AWS leveraging S3, Glue, Lambda, and related services. Integrate & Automate: Implement ETL processes … Hands-on commercial expertise with Databricks. You should have: Proven experience as a Data Engineer working with large, complex datasets. Hands-on expertise with Apache Spark, and SQL. Strong proficiency in Python (PySpark preferred). Experience with AWS cloud services including S3, Glue, Lambda, IAM. Familiarity with ...

business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platformDevelop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta LakeContribute to platform architecture, engineering standards and best practices across the data estateWork with Product, Analytics and Data Science teams … contribute to continuous improvement across the engineering teamJob Requirements: Significant experience building and supporting scalable, production-grade data platformsStrong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environmentsExperience with Infrastructure as Code tools such ...

techniques, including machine learning and their application in financial services. Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark. Understanding of data governance, security, and data quality management principles. Experience working with large, complex datasets … producing audit evidence Essential Skills: Data pipeline development and optimisation Data modelling and architecture (in Azure Databricks) Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark) Data science and machine learning Data governance and quality assurance Problem-solving and analytical thinkingStakeholder engagement and technical communication, including ...

techniques, including machine learning and their application in financial services.* Proficiency in data tools, programming languages, and database technologies, in particular in Azure Databricks, Spark, Spark SQL and Python/pyspark.* Understanding of data governance, security, and data quality management principles.* Experience working with large, complex datasets … producing audit evidence**Essential Skills:*** Data pipeline development and optimisation* Data modelling and architecture (in Azure Databricks)* Programming and scripting for data processing (Spark, Spark SQL, Python, pyspark)* Data science and machine learning* Data governance and quality assurance* Problem-solving and analytical thinking* Stakeholder engagement and technical communication ...

automated deployments, infrastructure management, monitoring, and scaling Coaching and mentoring junior engineers and promoting engineering best practices Skills & Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs ...

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 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 ...

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 ...

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 ...

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with ...

solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted ...

will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We … version control.* **Data Engineering Stack** Experience building pipelines using streaming frameworks, distributed processing engines and relational or analytical storage technologies. Examples include Kafka, Spark, PostgreSQL.* **Orchestration** Experience defining and running data workflows using modern orchestration frameworks. Examples include Airflow, Dagster or Prefect.* **Data Quality and Lineage** Familiarity with tools ...

skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands‐on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud-native data platforms, particularly within AWS Familiarity with Docker, Kubernetes and CI/ ...

agreed scope, acting as the key point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse ...