1 to 25 of 246 Apache Spark Jobs in the UK

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 ...

DescriptionRole – Senior ConsultantTechnology – Scala, Apache Spark, SQL, PythonNice to Have - AWS, UNIX shell scriptingLocation – London, UKContext and Job Description:•Infosys provides Integration/middleware services for global clients covering a multitude of Integration technologies and products.•The services are rendered typically following a global delivery model using … fundamental Data Structures and their usage •At least 5+ 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 Python, Hadoop, HDFS, Hive ...

risk quants on massive-scale analytics for critical regulations like FRTB? Do you want to tame billions of rows of complex financial data with Apache Spark and deliver insights to senior leaders in a fraction of a second? Citi is looking for an elite, hands-on technologist … data pipelines to ingest and process billions of trade-level PV calculations from various stress engines. Develop and optimize large-scale aggregation jobs using Apache Spark, ensuring high performance and efficiency. Design and deliver a suite of "intelligent data APIs" that provide flexible, on-demand access to both ...

scalable 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 and 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.Requirement Translation: Partner closely ...

advanced 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 … programming 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 ...

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 ...

modern AI systems. Strong programming experience in Python. Data & Infrastructure Experience with some of the following technologies is highly desirable: Frameworks/Infrastructure Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Libraries Pandas Polars Engineering ...

Solution Engineering, or related disciplines within enterprise environments4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines … intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta LakeDevelop governed datasets and data products that support reporting, analytics, and artificial intelligence initiativesPartner with business stakeholders ...

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 ...

mindset and focus on delivering business impact. What will set you apart? Experience with distributed computing and data processing frameworks such as Ray, Dask, Apache Spark, Apache Beam, or similar technologies. Experience with event-driven architectures and messaging platforms such as Kafka, RabbitMQ, or similar technologies. Experience ...

hands-on Senior Databricks Solutions Architect to support a complex, high-performance data platform within a global organisation. Youll design and optimise Spark workloads, build production streaming pipelines and deliver scalable Databricks solutions using Delta Live Tables, Workflows, Unity Catalog, Python, PySpark, Terraform and Databricks Asset Bundles. Key requirements … Advanced Apache Spark and Spark SQL optimisation Production Spark Structured Streaming experience Deep Databricks platform knowledge Strong Python and PySpark engineering capability Delta Live Tables, Workflows and Unity Catalog Terraform and Databricks Asset Bundles CI/CD and GitHub Actions Ability to work autonomously ...

DevOps knowledge, including Linux/Unix, OpenShift/Kubernetes, and Ansible. Experience building and supporting reactive, event-sourced systems. Hands-on experience with Apache Spark and Apache Flink. Strong understanding of Apache Envoy, and REST API design. Experience working with Protobuf, Avro, and Parquet data formats. ...

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 ...

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 ...

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 ...

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 ...

ready data processing solutions using BigQuery, Pub/Sub, Dataflow and DataprocExperience 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 ...

within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding ...

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 ...

evolving platform stack — from data ingestion and event processing to REST services and internal toolingArchitect and scale streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/ ...

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 ...

Data Warehousing concepts. Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Project experience using the any of the following technologies: Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross and multi-platform experience. Financial services sector experience. Line management experience. Team building and leading. Mentoring/staff development experience.#TalanUK ...

delivering solutions that have created measurable business value.Strong experience using Python or Scala.Hands-on knowledge of Big Data and streaming technologies such as Spark and Kafka.Experience designing data models, ETL and ELT pipelines, data warehouses and data lakes.Practical experience with Google Cloud tools such as BigQuery, Dataflow, Dataproc ...