226 to 250 of 307 Apache Spark Jobs in England

Oversee pipeline performance, address issues promptly, and maintain comprehensive data documentation. What Youll Bring Technical Expertise: Proficiency in Python and SQL; experience with data processing frameworks such as Airflow, Spark, or TensorFlow. Data Engineering Fundamentals: Strong understanding of data architecture, data modelling, and scalable data solutions. Backend Development: Willingness to develop proficiency in backend technologies (e.g., Python with Django … to support data pipeline integrations. Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and deployment automation processes. Experience within MLOps A 1st class Data degree from one of the UKs top 15 Universities More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Our client is a financial services giant; they are looking for an experienced Hadoop SQL Developer to join them on an initial 6-month contract. Key Skills Java, Scala, Spark, Hadoop & Big Data, UI skills like Angular Reporting skills such as Tableau, QlikView BI SQL skills, including working with stored procedures on SQL Server and experience with SSIS packages More ❯

discipline At least AAB at A-Level or equivalent UCAS points (please ensure A-Level grades are included on your CV). Outstanding customer-facing skills with a sales spark A motivated self-starter with a problem-solving attitude Strong aptitude for picking up technologies Ability to work with autonomy and as part of a team Great communication skills More ❯

Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience (NodeJS More ❯

Stress-testing, performance-tuning, and optimization skills. Debugging in multi-threaded environments. Eligible to work in the UK. Desirable Skills: Technologies such as Zookeeper, Terraform, Ansible, Cassandra, RabbitMQ, Kafka, Spark, Redis, MongoDB, CosmoDB, Xsolla Backend(AcceleratXR), Pragma, Playfab, Epic Online Services, Unity Game Services, Firebase, Edgegap, Photon Game engine experience with Unreal or Unity Web application development experience (NodeJS More ❯

and a strong background in using data to influence decisions and behaviours Experience with (in rough priority order): SQL (experience in writing performant queries) Python & DS libraries (sklearn, pandas, spark, etc) Data transformation Data visualisation & storytelling Any of the following would be a bonus DBT Experience working with ambiguity in a scale-up (or scale-up-like) environment Passion More ❯

on experience across AWS Glue, Lambda, Step Functions, RDS, Redshift, and Boto3. Proficient in one of Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data … and data governance including GDPR. Bonus Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring and enabling data More ❯

business transformation. You'll also contribute to best practice implementation and continuous improvement within cross-functional engineering teams. What You'll Do Design and develop robust pipelines using DeltaLake, Spark Structured Streaming, and Unity Catalog Build real-time event-driven solutions with tools such as Kafka and Azure Event Hubs Apply DevOps principles to develop CI/CD pipelines … and GDPR-compliant solutions Working knowledge of DevOps tools and CI/CD processes Bonus Points For Development experience in Scala or Java Familiarity with Cloudera, Hadoop, HIVE, and Spark ecosystem Understanding of data privacy regulations, including GDPR, and experience working with sensitive data Ability to learn and adapt new technologies quickly to meet business needs Collaborative mindset with More ❯

Role: Data Engineer Role type: Permanent Location: UK or Greece Preferred start date: ASAP LIFE AT SATALIA As an organization, we push the boundaries of data science, optimization, and artificial intelligence to solve the hardest problems in industry. Satalia is More ❯

We are looking to hire a additional 2 Data Engineers to join the Satalia Data Engineering Team. We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

Platform to unify and democratize 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 Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that More ❯

the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? You'll More ❯

to solve any given problem. Technologies We Use A variety of languages, including Java, Python, Rust and Go for backend and Typescript for frontend Open-source technologies like Cassandra, Spark, Iceberg, ElasticSearch, Kubernetes, React, and Redux Industry-standard build tooling, including Gradle for Java, Cargo for Rust, Hatch for Python, Webpack & PNPM for Typescript What We Value Strong engineering More ❯

Drive best practices around CI/CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ More ❯

AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs, and parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices … structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience More ❯

AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design complex Spark jobs, asynchronous APIs, and parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices … structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience More ❯

join on a contract basis to support major digital transformation projects with Tier 1 banks. You'll help design and build scalable, cloud-based data solutions using Databricks , Python , Spark , and Kafka -working on both greenfield initiatives and enhancing high-traffic financial applications. Key Skills & Experience: Strong hands-on experience with Databricks , Delta Lake , Spark Structured Streaming , and More ❯