101 to 125 of 388 Apache Spark Jobs in the UK

application resiliency, and securityPractical cloud-native experiencePreferred Qualifications, Capabilities, and Skills:Experience with modern data technologies such as Databricks or SnowflakeHands-on experience with Spark/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence ...

prompt/version control, and Responsible AI/MRM complianceEnterprise AI Integration & DataAPI- and event-driven integration of AI into enterprise workflowsData platforms: Databricks, Spark, Snowflake; streaming via KafkaBackend & Distributed SystemsLanguages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus)Architecture: Microservices, domain-driven design, event-driven systemsAPIs ...

Data Engineer (Python SQL Spark Azure Databricks) London to 160kAre you a tech savvy Data Engineer with a first class education? You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management. What … Python or C# and SQL, experience with version control and contributing to a shared codebasesYou have experience with modern data tools and technologies including Apache Spark and Azure Databricks preferredYou have a strong knowledge of data management principles and best practicesYou have experience with data analysis, visualisation tools ...

Senior Databricks Architect - London (Hybrid) - Databricks - Spark - PySpark - AWS - Up to £115,000 + Bonus Our client, a large-scale organisation undergoing significant investment in data and cloud technologies, is seeking an experienced Senior Databricks Architect to join its expanding Data & AI practice. This is an exciting opportunity … real-time data pipelines from legacy and modern source systems Implementing real-time and event-driven data processing solutions Developing data transformation frameworks using Spark, PySpark and SQL Designing Lakehouse architectures using Databricks and Medallion Architecture principles Creating scalable, reusable data products to support modern data operating models Integrating ...

reviews and continuous improvement Skills & Experience * Commercial experience in Data Engineering * Strong Python or Java development skills * Experience with AWS cloud services * Knowledge of Apache Spark, Hadoop, NiFi or similar big data technologies * Experience building ETL/ELT pipelines and processing large datasets * Understanding of software engineering best ...

consultancy environments Senior Data Engineering Consultant | DESIRED SKILLS Experience working across multi‐cloud platforms including Azure, AWS, or hybrid data environments Exposure to Databricks, Apache Spark, Azure Synapse, or similar distributed processing technologies Familiarity with systems integration and API development including REST‐based services Experience supporting pre‐sales ...

ability to help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ...

complex pipelines and data models in a cloud environment Strong proficiency in SQL; solid Python and/or PySpark capabilityDemonstrable experience with Databricks, Apache Spark, and Delta Lake architectureProven ability to design and own enterprise-grade canonical data models across multiple upstream source systemsExperience integrating data from APIs ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working within cloud environments, ideally AWS. Understanding of software engineering principles, version control and CI/CD practices. Familiarity with container technologies ...

datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Equal Opportunity Employer Goldman Sachs is an equal opportunity employer ...

Python. Proven experience designing and building distributed systems and APIs at scale. Hands‐on experience with real‐time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling ...

machine learning, model development, and data engineering, with an appreciation of responsible AI principles.Experience with cloud environments (Azure, AWS, GCP) and tools such as Spark, Hive, and Redshift.Demonstrated ability to lead cross-functional teams and mentor junior practitioners.Ability to communicate complex technical concepts clearly to non-technical audiences ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits ...

scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital ...

datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, Facebook. At Databricks, we strive to provide comprehensive benefits and perks ...

/ELT: Direct knowledge of Matillion’s Data Productivity Cloud/Matillion ETL, or primary competitive data integration platforms.Big Data & Analytics Ecosystems: Experience with Spark/PySpark, modern Data Lakes/Lakehouses, and MPP database architectures (Teradata, Vertica, Netezza).Education: Bachelor’s or Master’s degree in Computer Science ...

data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive ...

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.Experience in processing large amounts of structured and unstructured ...

environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured ...

Computational Complexity.* Strive for excellence and continuous improvement in software architecture, software delivery and best practices.* Hands on experience in C#, OOP python, Spark/PySpark and other C#, Python framework ecosystem.* Debug and resolve issues in large datasets quickly.* Co-ordinating handoffs between different time zones and allocating ...

evolving platform stack — from data ingestion and event processing to REST services and internal tooling.Build and maintain 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/… solving difficult problems.Willingness and ability to take on new technologies as our stack evolves.Nice to HaveExperience with stream processing frameworks such as Flink or Spark Streaming.Experience with task orchestration tools such as Apache Airflow or similar systems.Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT.Experience ...

evolving platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain 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 … Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large‐scale data ...