Model the business clearly. Design reusable data models and metrics that help us understand company performance, product usage, customer behavior, and growth.
Make data useful. Help Product, Finance, Operations, Engineering, leadership, analysts, and AI systems access the right data and use it confidently.
Build customer-facing data products. Turn Nas.com data into useful dashboards and insights for entrepreneurs, and build the context layer that helps our agents understand each customer's data, performance, and business model.
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Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
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Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
Construct, test, and update useful and reusable data models based on data needs of end users.
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This is not a “keep the lights on” role. The team is lean, the ownership is real and you’ll have the autonomy to identify problems, fix them and ship better solutions without waiting for permission.
You’ll bring strong Python skills, solid experience with SQL and data manipulation, and a track record of working with orchestration or ETL/ELT tools. You’ll know how to build effective monitoring and self-healing systems, communicate clearly and take a proactive approach to solving problems.
Alongside a competitive salary, you’ll receive medical insurance, a pension and a wider benefits package.
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Competence in preparing clear technical documentation, including design reports, survey findings, and commissioning records.
Effective communication and collaboration skills for working with multidisciplinary teams and engaging with clients on technical matters.
Relevant degree or diploma in Engineering (e.g., Electrical, Mechanical, Chemical, Materials, or related field); certification in cathodic protection or corrosion engineering is an advantage.
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Conceptualize and implement advanced language model applications, cognitive assistants, and automated workflow solutions.
Monitor industrial trends to implement modern digital capabilities and optimize current organizational operations.
about the job. An exciting opportunity has arisen for a technical specialist to spearhead the development and maintenance of cutting-edge data architecture and next-generation intelligence tools.
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