Data Engineer

At IBM, work is more than a job - it's a calling:To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. Within IBM Consulting, Asset Engineering Services is a group who build software products and repeatable solutions to accompany and support multiple consulting and services engagements across different clients.
Asset Engineering is looking for a motivated and seasoned Data Engineer to join our global team to deliver outstanding results for both internal/external clients. Your Role and Responsibilities We are seeking an experienced Data Engineer to join the Asset Engineering team. In this role, you will be responsible for building innovative AI-powered solutions that integrate with various systems and applications. You will also be working with the broader team to build, analyse and improve the AI solutions.

Required Technical and Professional Expertise

8+ years of professional experience; 5+ years of experience in Data Engineer with ML exposure.

Proficiency in Python programming language with exposure to RESTful APIs.

Knowledge of database management systems such as MySQL or PostgreSQL.

Experience with web scraping and other data collection methods. Optimizing data retrieval and machine learning workflows to improve performance of Generative AI systems in real-time environments

Exploratory Data Analysis on both structured and unstructured data, generate and propose insights. Data management (including creating tools to support PMs for creating use case specific KBs and use flows).

Preferred Technical and Professional Expertise

Work with the Product Managers and technical lead to build the data pipeline and knowledge bases to support the AI use cases. Work with integration team to integrate models into production environments and ensure smooth data flow.

Experience with IBM Cloud, Cirrus (IBM CIO Private Cloud). Experience with DevOps tools including GitHub Enterprise, CI/CD

Ensuring data security, privacy, and compliance standards are met