15 of 15 Permanent Apache Spark Jobs in Glasgow

ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large-scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes More ❯

e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks, Pyspark Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding of Maven or Gradle About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and More ❯

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 More ❯

discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding of Maven or Gradle About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and More ❯

these issues. You will be required to leverage the company's extensive data assets from both internal and external sources using tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them to a non-technical audience. Job Responsibilities More ❯

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 results and effectively communicate them to a non-technical audience. More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

Azure data services Deep understanding of Data Management practices: governance, security, quality, and compliance Proficiency in SQL and familiarity with Azure DevOps Pipelines and Apache Spark Excellent stakeholder engagement and communication skills Relevant certifications (e.g., Azure Solutions Architect Expert or TOGAF) a plus Must be eligible for SC More ❯

end ownership • Python or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems More ❯

end ownership • Python or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems More ❯

Functional Relevance of Work Experience: 15+ years of experience as an Enterprise Architect. 5+ years of industry exposure to the Government Sector. Certification across Spark and TOGAF. Other Desired Skills: Skilled in generating business cases and canned presentation material that can be reused across multiple customers. Strong leadership abilities More ❯

data program, which includes a firm-wide data catalogue detailing key data elements. Skills Required Java and/or Scala Backends Distributed compute concepts: Spark, Data Bricks, Apache Beam etc Full Stack experience Azure Cloud Technologies Angular/Similar front end Cloud DB/Relational DB: Snowflake/… build the next generation platform for Treasury 7-10 years of work experience in software development. Should have hands-on experience with Java, Scala, Spark, and SQL. Strong knowledge of multi-threading and high-volume server-side development. Experience with Snowflake, PowerBI and Cloud platforms is a plus. Should More ❯

data program, which includes a firm-wide data catalogue detailing key data elements. Skills Required Java and/or Scala Backends Distributed compute concepts: Spark, Data Bricks, Apache Beam etc Full Stack experience Azure Cloud Technologies Angular/Similar front end Cloud DB/Relational DB: Snowflake/… build the next generation platform for Treasury 7-10 years of work experience in software development. Should have hands-on experience with Java, Scala, Spark, and SQL. Strong knowledge of multi-threading and high-volume server-side development. Experience with Snowflake, PowerBI and Cloud platforms is a plus. Should More ❯

Compensation £60,000 – £80,000 base salary + performance-related bonus + benefits Performance-Related Bonus Benefits (listed below) TL;DR Role: Senior AI Engineer (Agentic AI & LLM Focus) Location: UK-based, fast-growing technology consultancy specialising in the energy More ❯