2 of 2 Spark SQL Jobs in Belfast

You'll work across multiple workstreams, delivering high-impact data solutions that drive efficiency and compliance for Markets and its clients. Key Responsibilities Build and optimize PySpark and SQL queries to analyze, reconcile, and interrogate large datasets. Recommend improvements to reporting processes, data quality, and query performance. Contribute to the architecture and design of Hadoop environments. Translate architecture … in SQL, Python, and Spark. Experience within an investment banking or financial services environment. Exposure to Hive, Impala, and Spark ecosystem technologies (e.g. HDFS, Apache Spark, Spark-SQL, UDF, Sqoop). Experience building and optimizing Big Data pipelines, architectures, and data sets. Familiarity with Hadoop and Big Data ecosystems. Strong More ❯

delivering robust data solutions and managing changes that impact diverse stakeholder groups in response to regulatory rulemaking, supervisory requirements, and discretionary transformation programs. Key Responsibilities: Develop PySpark and SQL queries to analyze, reconcile, and interrogate data. Provide actionable recommendations to improve reporting processes—e.g., enhancing data quality, streamlining workflows, and optimizing query performance. Contribute to architecture and design … plans for technical deliverables. Manage day-to-day project activities, including setting milestones, tracking tasks, coordinating deliverables, and ensuring timely, high-quality execution. Required Skills & Experience: Proficiency in SQL, Python, and Spark. Minimum 5 years of hands-on technical data analysis experience. Familiarity with Hadoop/Big Data environments. Understanding of Data Warehouse/ETL design and development … and able to work independently. Preferred Qualifications: Background in investment banking or financial services. Hands-on experience with Hive, Impala, and the Spark ecosystem (e.g., HDFS, Apache Spark, Spark-SQL, UDFs, Sqoop). Proven experience building and optimizing big data pipelines, architectures, and data sets. More ❯