13 of 13 Permanent Apache Spark Jobs in Manchester

build and manage scalable data pipelines and data analytic solutions that support strategic, ad hoc, and AI-driven data analytics using technologies such as Apache Spark, Apache Flink, Unity Catalog, Apache Hive, Databricks, Apache Iceberg, and Delta Tables. Innovation and Research: Drive innovation by researching … building high-throughput, low-latency systems to support short- and long-running processes at scale. Hands-on experience with event-driven platforms like Apache Kafka, RabbitMQ, Apache Pulsar, and other messaging systems for system integrations and real-time data streaming. Strong background in processing large batch and streaming ...

automation to ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client … languages like Python, Bash, or Go to automate tasks and build necessary tools. Expertise in designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create ...

Software Engineering, or a related field, or equivalent work experience. Experience in software development (Python, Java, Scala etc ) and Big Data tools (e.g. Hadoop, Spark), preferably in a cloud-based environment (AWS, Azure, or GCP). Proficiency in SQL. Robust problem-solving skills and an analytical mindset. Solid understanding ...

comprehensive data analysis and reporting. Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust. Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining … ease. Understanding of Data Lakehouse Architecture: You have a strong grasp of the principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using ...

working on complex data pipelines at scale, you'll thrive here. Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) Big Data Technologies (Apache.... Spark, Flink, HDFS, Airflow, Trino, Iceberg, Hive) Dependency injection frameworks (Spring) Observability (Loki/Grafana) Large scale data processing (Kafka) CI/CD Build tools ...

/or machine learning) Deep technical understanding of data engineering and AI/ML tooling, workflows, and trends in enterprise setting Proficiency in Python, Spark, and/or SQL with experience developing ETL applications Excellent communication and presentation skills, with comfort in objection handling Hands-on experience with ...

algorithms, model optimization, and deploying scalable solutions in cloud environments. Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch. Strong problem-solving, team collaboration, and communication skills. Business Development (either in a commercial environment or through 'selling your ideas') a plus ...

solving, from ideation through experimentation and production. Strong understanding of statistical concepts and ML feature engineering techniques. Experience analyzing large-scale datasets using SQL, Spark, or similar tools. Preferred/Nice to Have Certifications or academic background in Data Science/Machine Learning/AI. Experience with ML frameworks ...

building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills … similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last ...

building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills … similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part of a team Comfortable in a fast-paced environment Have excellent written and verbal English skills Last ...

driven solutions. • Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. • Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. • AI-Assisted Analytics: Bring experience … practices, AI capabilities, advanced analytics and automation practices. You will need • Experience developing robust data products that are actionable and scalable.• Expertise of using Spark, Dremio, Teradata or other SQL technologies.• Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau.• Experience with ...

driven solutions. • Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. • Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. • AI-Assisted Analytics: Bring experience … practices, AI capabilities, advanced analytics and automation practices. You will need • Experience developing robust data products that are actionable and scalable.• Expertise of using Spark, Dremio, Teradata or other SQL technologies.• Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau.• Experience with ...