19 of 19 Apache Spark Jobs in Leeds

We are seeking an experienced Kafka Real-Time Architect to design and implement scalable, high-performance real-time data processing systems leveraging Apache Kafka. In this role, you will be responsible for architecting and managing Kafka clusters, ensuring system scalability and availability, and integrating Kafka with various data processing … approach to addressing business data needs and ensuring optimal system performance. Key Responsibilities: Design & Architecture: Architect and design scalable, real-time streaming systems using Apache Kafka, ensuring they are robust, highly available, and meet business requirements for data ingestion, processing, and real-time analytics. Kafka Cluster Management: Configure, deploy … and troubleshoot issues to maintain smooth operations. Integration & Data Processing: Integrate Kafka with key data processing tools and platforms, including Kafka Streams , Kafka Connect , Apache Spark Streaming , Apache Flink , Apache Beam , and Schema Registry . This integration will facilitate data stream processing, event-driven architectures, and More ❯

applications through bug fixes and code refactoring. Leverage the latest data technologies and programming languages, including Python, Scala, and Java, along with systems like Spark, Kafka, and Airflow, within cloud services such as AWS. Ensure the ongoing maintenance, troubleshooting, optimization, and reliability of data systems, including timely resolution of … NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Nice to have: Hands-on experience with data warehouse and … lakehouse architectures (e.g., Databricks, Snowflake, or similar). Experience with big data frameworks (e.g., Apache Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, or GCP). More ❯

Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an More ❯

for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯

for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance More ❯

and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to More ❯

your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications Competence in evaluating and selecting development tools and More ❯

data cycle. Proven experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake Formation, Cloud Formation), GitHub, CI/CD. Coding experience in Apache Spark, Iceberg, or Python (Pandas). Experience in change and release management. Experience in database warehouse design and data modeling. Experience managing data More ❯

analytics/architecture/security using native technologies of least one cloud platform (AWS, Azure, GCP) Expertise in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Expertise in leading the design, build and More ❯

with experience in AI frameworks (e.g., TensorFlow, PyTorch, Keras). Strong knowledge of data analysis, visualisation tools, and big data technologies (e.g., SQL, Hadoop, Spark). Experience with machine learning techniques, including NLP, recommendation algorithms, and computer vision. Familiarity with cloud platforms (Azure) for deploying AI solutions . Strong More ❯

tools and alerting frameworks SQL experience including queries/updates/table creation/basic database maintenance Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation More ❯

/structured data handling Ability to work independently and collaboratively in cross-functional teams Nice to have: Experience with big data tools such as Spark, Hadoop, or MapReduce Familiarity with data visualisation tools like QuickSight, Tableau, or Looker Exposure to microservice APIs and public cloud ecosystems beyond AWS AWS More ❯

and migrating a host of applications suites to a Kubernetes infrastructure environment. Requirements: Kubernetes implementation, Kubernetes-specific architecture, hands-on migration work, Kubernetes Security Spark S3 Engine Terraform Ansible CI/CD Hadoop Linux/RHEL – on prem background/container management Grafana or Elastic Search– for observability Desirable More ❯

Principal Data Engineer, Consulting Leeds Based You must be eligible for SC Clearance Role Overview The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working More ❯

Principal Data Engineer, Consulting Leeds Based You must be eligible for SC Clearance Role Overview The Principal Data Engineer will be responsible for designing and implementing cloud-based data solutions using a range of AWS services. This role involves working More ❯

maintaining Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security … guidance and support to development operations teams. Staying updated with the latest Kafka features, updates and industry practices. Required Skills Experience : Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. More ❯

maintaining Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security … guidance and support to development operations teams. Staying updated with the latest Kafka features, updates and industry practices. Required Skills Experience : Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. More ❯