technical expertise in the development and implementation of business intelligence solutions, including development, administration, monitoring, performance tuning, debugging, and operationalization. Technology areas include Tableau, Power BI, Cloud Data Warehouse (Snowflake), ETL Tools (Talend), Python, SQL. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Role More ❯
domains is highly desirable. Preferred Experience Engineering team lead experience Experience working on multiple projects at the same time Experience with big data analytical systems such as BigQuery, Redshift, Snowflake, Databricks, SingleStore, etc. Experience working with vulnerability scanning technologies on any part of the tech stack (e.g., SCA, SAST, DAST, IAST, VM Scanning, Container, etc.) Experience maintaining applications on Linux More ❯
Belfast Metropolitan Area, United Kingdom Hybrid / WFH Options
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force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique More ❯
workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities Required Qualifications Essential: Strong level of hands-on experience developing and deploying machine learning models in production environments Essential: Proven … fine-tuning techniques Understanding of natural language processing, computer vision, and recommender systems Essential: Hands-on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Strong programming skills in Python and proficiency with ML libraries (scikit-learn, pandas, NumPy, XGBoost, LightGBM) Familiarity with distributed computing frameworks (Spark, Dask, Ray) Strong analytical and More ❯
