25 of 25 Permanent Apache Spark Jobs in the North West

data processing. In this role, you will architect and maintain production‐grade data products and APIs, leveraging technologies such as Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high‐performance solutions. You will collaborate with cross‐functional partners across Finance, Accounting, and Analytics to translate complex … efficient code, ensuring adherence to best practices through code reviews Big Data Engineering Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance Develop and fine‐tune complex queries ...

solutions are secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted ...

with Snowflake and Databricks native solutions. Experience on Snowflake Cortex is must. Proficiency in programming skills in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL and NoSQL). Familiarity with cloud platforms (AWS, Azure) and their data services. Understanding ...

possess hands‐on experience with one or more of the following technological areas (or their equivalent cloud‐native alternatives): Analytics & Platform Frameworks like Apache Spark or similar cloud-specific services. Transformation & Orchestration tools Database Technologies Libraries & Schema Management Storage Formats: Familiarity managing diverse data types through formats like ...

Automated deployments across environments. Monitoring and logging. Release and configuration management. Production support and incident troubleshooting. Python or another scripting language. AWS certification. Terraform. Apache Airflow/MWAA. Databricks or Spark. Kafka/Kinesis. dbt. Experience working in Agile/Scrum environments. Experience 4+ years of experience in Data ...

agreed scope, acting as the key point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse ...

maintain SC clearance. Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security ...

Lambda, ECS, RDS, S3, SQS, API Gateway, and CloudWatch. Design, develop, and maintain data pipelines and ETL workflows using technologies such as Glue, Spark/PySpark, Kafka, or similar platforms. Implement and maintain Infrastructure as Code (IaC) using Terraform or equivalent tools. Drive observability, monitoring, logging, and operational readiness ...

modern cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern ...

into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

Excellent verbal and written communication skills BS or MS degree in Computer Science or equivalent Experience in distributed computing frameworks like Hive/Hadoop, Apache Spark Experience in developing Finance or HR related applications Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB … Elastic Cache, Lambda Working experience with Terraform Experience in creating workflows for Apache Airflow What the job involves The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization As a cornerstone of Roku ...

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 ...

understanding of how Fabric supports governed analytics and data engineering at scale. A good understanding of data processing technologies and tools such as Apache Spark, data lakes, data warehousing and SQL databases. Proficiency in Python and continuous integration and continuous delivery techniques, enabling change to be implemented consistently ...

Warehouses Experience with enterprise data source integration — MS SQL Server (on-premises and Azure SQL) and Oracle Database ingestion into Azure landing zones Strong Apache Spark skills — PySpark or Scala, optimisation, partitioning, and job scheduling in Databricks Experience assessing and remediating partially built or vendor-abandoned data platform ...

Private cloud platforms (HPE Private AI, Nvidia AI Enterprise, Dell AI Factories) Understanding of data engineering practices (ETL, data lakes, big data tools like Spark). Knowledge of designing scalable, distributed systems. Familiarity with model lifecycle management and MLOps practices. Ability to align AI initiatives with business outcomes ...

maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem‐solving skills with the ability to communicate clearly to both technical and non‐technical stakeholders Basic understanding of artificial intelligence ...

Senior Data Engineer – SQL/Python/AWS Adria Solutions is recruiting a Senior Data Engineer for a growing business developing a new digital services platform. With established backing, the business is building its data ...

lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands‐on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long‐tenured individual contributors while providing ...

maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions Building robust data … would be beneficial if you also have Knowledge of data modelling practices, including star and snowflake schemas and normalisation Experience with Python, PySpark or Spark, Azure, DevOps or Microsoft Dynamics 365 Finance and Operations An understanding of business operations A full driving licence, as travel to Group locations will ...

Hadoop ecosystem, collaborating with data scientists to operationalize ML models using CML. The role spans data ingestion, transformation, and full-stack tooling with Java, Spark, Python, Flask, and React, emphasizing performance tuning and efficient resource use across batch and streaming workloads. #J-18808-Ljbffr ...

include: Contributing to disaster recovery, business continuity and platform resilience solutions for streaming environments. Working with streaming technologies such as Kafka Streams, Flink or Spark Streaming and applying real‐time data processing approaches to business requirements. Working collaboratively across engineering, architecture, security and infrastructure teams, sharing knowledge and contributing ...

Kafka Connect, Schema Registry, Cluster Linking and ksqlDB. Other highly valued skills may include Experience with streaming technologies such as Kafka Streams, Flink or Spark Streaming. Experience working with cloud-native technologies and Kubernetes-based platforms in enterprise environments. Effective collaboration, communication and problem-solving skills, with the ability ...

spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern web applications. With a globally distributed presence across the US, India, and Europe, the team thrives on collaboration, bringing together diverse perspectives … Computer Science or equivalent practical experience Experience developing finance applications is a plus Working experience with Terraform is a plus Experience creating workflows for Apache Airflow is a plus #J-18808-Ljbffr ...

spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern web applications. With a globally distributed presence across the US, India, and Europe, the team thrives on collaboration, bringing together diverse perspectives … Computer Science or equivalent practical experience Experience developing finance applications is a plus Working experience with Terraform is a plus Experience creating workflows for Apache Airflow is a plus What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...

SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust data ingestion and transformationframeworks using Java, Spark, Python, and shell scripting for ingestingmulti model data ...