8 of 8 Permanent Big Data Jobs in Glasgow

pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in … e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to understand design and functionality problems independently with little to no oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues. Experience with Databricks, Snowflake, Iceberg is required. Preferred qualifications, capabilities, and skills Understanding of application and data design disciplines with an More ❯

We're looking for a Lifecycle Manager to join our rapidly growing marketing team. You'll effectively bridge the gap between our program managers, data and engineering teams to own the delivery of the data that enables program managers to personalise emails and push notifications to tens of … millions of users a month across 50+ countries worldwide. Within our high performing Lifecycle team you'll be responsible for ensuring the data is available in the right format and available in a timely manner to allow program owners to execute on the lifecycle strategy. This role is an … opportunity for a world-class operations manager to be at the heart of evolving and executing on our data. Work closely with engineering and data teams to ensure timely and quality data is available to be leveraged by program managers at scale Work with program owners to understand More ❯

+ GCP , must also have multiple Kubernetes certs (administrator, developer, expert etc).** Our client is looking to migrate its on-prem Hadoop-based data and analytics capability to a Kubernetes-based infrastructure. They already have a Kubernetes platform (the Internal Kubernetes Platform or IKP) but this is focused … of hands on Kubernetes experience Experience with multiple K8S distributions - at least 2 distros. Experience building and deploying clusters Knowledge of GKE Experience with data lakes/data warehousing Strong understanding of Kubernetes security. Able to navigate through CNI and CSI configurations/issues. Experience with Helm charts … Required Strong communication skills are essential as is experience of running a technical development/support team. Analytical approach to problem resolution. Enthusiastic about Big Data technologies, needs to be a proactive learner. Comfortable with agile planning methods. Strong communication and stakeholder management skills. Intellectually curios. Willing to More ❯

leadership in test framework development. Additional valued skills include: Proven ability to test enterprise-level software solutions using tools and techniques such as BDD, Data Reconciliation, Source Control, TDD, Jenkins. Documenting configurations, processes, and best practices. Knowledge of file formats JSON, Iceberg, Avro. Basic knowledge of AWS technologies like … IAM roles, Lakeformation, Security Groups, CloudFormation, Redshift. Big Data/Data Warehouse testing experience. Experience in the Financial services domain. Mentoring experience (not line management). This role will be based in Glasgow. Purpose of the role To design, develop, and improve software, utilizing various engineering methodologies More ❯

The Risk Management & Corporate Technology Machine Learning team at JPMorgan Chase is dedicated to addressing complex business challenges through the application of data science and machine learning techniques across Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ML Engineer on the team, you will have the … apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for these challenges. You will leverage the firm's extensive data resources from both internal and external sources using Python, Spark, and AWS, among other systems. You are expected to extract business insights from technical … technical audience. Job Responsibilities Design and architect end to end solutions in AI domain ranging from Anomaly detection Use cases, Chat with your at data, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling More ❯

the team as you will be involved in developing and re-architecting legacy systems using cutting-edge technologies and driving the business into the Big Data era. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of … by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyses, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills More ❯

options and selecting products aligned to business and technical architectures. Core Area of Expertise: Expertise across cloud-native architecture, Omni-channel system of engagement, big data architecture, advanced analytics & visualization, legacy modernization. Knowledge of the drivers and decision points for organizations to decide on the most appropriate digital More ❯

the team as you will be involved in developing and re-architecting legacy systems using cutting-edge technologies and driving the business into the Big Data era. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of More ❯