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Introduction

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, lets talk.

Your role and responsibilities

Gathers and collects the data, stores it, does batch processing or real-time processing on it, and serves it via an API to a data scientist who can easily query it. Data engineers may work closely with data architects (to determine what data management systems are appropriate) and data scientists (to determine which data are needed for analysis). They often wrestle with problems associated with database integration and messy, unstructured data sets. Analytical Problem Solving :

Recognizes and addresses complex functional problems. Anticipates potential problems and trends to inform proactive decisions. Integrates multiple data sources to conduct thorough analyses, used as basis to develop and implement solutions.

Streamlines complex workflows by simplifying task management and improving interdepartmental coordination, leading to faster project completion.

Collaborates on cross-functional projects to solve complex challenges.

Applies new and emerging tools and technologies to drive innovative solutions.

Drives initiatives to automate key processes, reducing manual effort and minimizing errors across the team.

Autonomy and Impact to the Organization:

Exhibits autonomy in leading initiatives beyond department, influencing project outcomes, and driving significant contributions to organizational success. Takes the initiative to make informed decisions regarding project direction, resource allocation, and timelines with limited supervision.

Evaluates potential risks and benefits independently, demonstrating sound judgment in choosing the best course of action. Leads key projects, or manages department(s) (country / Geo).

Translates functional plans into operational processes at department level and leads execution on short to mid-term (up to 3 years).

Brings fresh points of view, informed by a thorough understanding of a client's business, industry, market, & technology.

Skills and Collaboration :

Recognised specialist of one or several area.

Recommends changes to policies and establishes procedures that affect department or multiple disciplines.

Advanced understanding of business line and a growing understanding of the overall company and the competitive environment. Exhibits strong communication skills, facilitating open dialogue and welcoming divergent viewpoints.

Practices the principles of successful negotiation under supervision or approved situations Advises other professionals based on deep functional knowledge.

Develops and maintains collaborative relationships across departments. Utilizes group dynamics to enhance team performance.

Supervises junior professionals, providing mentorship/coaching and fostering to grow their career and skills. Proficient in utilizing advanced digital tools and AI technologies to drive collaboration and enhance communication within teams and across departments.

Required technical and professional expertise

Required Qualifications

Proven experience as a Data Engineer, Analytics Engineer, or similar role

Hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Power BI, OneLake)

Strong SQL skills and experience with data modeling

Experience with Azure Data services (e.g., Azure Data Factory, Synapse, ADLS)

Understanding of data warehousing, ETL/ELT, and analytics architectures

Experience working in client-facing or consulting environments

Strong communication skills in English

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.