Website:
finace.pro
Job details:
Company Description TrishIT Consulting LLP is a specialist ERP and digital transformation consulting firm headquartered in Belgium, with a strong operational presence in India and the Middle East. The company focuses on SAP project implementation across finance, logistics, procurement, warehouse management, and project management, as well as staff augmentation in Europe, India, UAE, and KSA. TrishIT delivers end-to-end SAP consulting across the employee lifecycle and enterprise finance, including SAP SuccessFactors, Treasury and Risk Management, and SAP testing and quality assurance for major upgrades and S/4HANA conversions. As a lean, expert team, TrishIT offers consultants direct access to senior projects, meaningful long-term engagements, and close collaboration with global enterprises and Tier-1 system integrators. The firm is committed to performance-driven transformation and welcomes professionals interested in focused SAP and data delivery roles.
AI/ML Data Engineer & Power BI Developer
Location: India(remote with possible relocation to Europe post successful tenure in India ) |Experience: 6–7 years |
Type: Full-time
About the RoleWe are looking for an experienced AI/ML Data Engineer & Power BI Developer to join our data team. This role sits at the intersection of data engineering, business intelligence reporting, and applied machine learning — you will design and maintain robust data pipelines, build insightful Power BI reports and dashboards, and help operationalize machine learning and AI capabilities (including OpenAI-based solutions) into production workflows.
This is a full-time position based in Europe; candidates must be open to relocating.
Key Responsibilities• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support analytics and reporting needs.
• Develop, optimize, and maintain Power BI reports, dashboards, and data models for business stakeholders.
• Write clean, efficient, and well-documented Python code for data processing, automation, and machine learning workflows.
• Support the full machine learning lifecycle — from data preparation and model development through deployment and monitoring (MLOps).
• Integrate and operationalize AI capabilities, including OpenAI APIs and other cloud-based AI/ML services, into business applications.
• Deploy, manage, and monitor data and ML workloads on Azure cloud platforms with T- SQL.
• Maintain version control and collaborative development practices using GitHub.
• Partner with business stakeholders, analysts, and engineering teams to translate reporting and data requirements into technical solutions.
• Ensure data quality, integrity, and governance across pipelines and reporting layers.
• Document technical designs, pipeline architecture, and reporting logic for maintainability and knowledge sharing.
Required Skills & Experience• 6–7+ years of overall experience in data engineering, BI development, and/or applied machine learning roles.
• Strong hands-on experience building reports and dashboards in Power BI, including data modeling (DAX) and performance optimization.
• Solid programming skills in Python for data engineering, automation, and ML workflows and T- SQL.
• Proven experience designing and maintaining data pipelines and data engineering processes at scale.
• Practical exposure to machine learning concepts and MLOps practices (model deployment, monitoring, versioning).
• Experience working with OpenAI or similar large language model / generative AI APIs in applied projects.
• Working knowledge of Azure cloud platforms (e.g., Azure, AWS, or GCP) for data and ML workloads.
• Proficient with Git/GitHub for source control and collaborative development.
• Strong analytical and problem-solving skills with attention to data accuracy and quality.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Willingness and ability to relocate to Europe.
Nice to Have• Experience with additional BI/reporting tools alongside Power BI.
• Familiarity with CI/CD pipelines for data and ML deployments.
• Exposure to data warehousing and modern data platform architectures.
• Relevant certifications in Azure cloud platforms, Power BI, or machine learning.
Soft Skills• Clear, confident communicator who can work effectively with cross-functional and cross-cultural teams.
• Self-motivated with strong ownership of deliverables and the ability to work independently.
• Collaborative mindset with a track record of working well in agile, fast-paced environments.
• Adaptable and open to relocating and working within a European team environment.
What We Offer• Opportunity to work on cutting-edge AI/ML and data engineering projects.
• Relocation support for the right candidate moving to Europe.
• Collaborative, growth-oriented team culture.
• Competitive compensation and benefits package (details shared during the interview process).
How to ApplyInterested candidates with 7+ years of relevant experience and openness to relocating to Europe are encouraged to apply with an updated resume and a brief note on relevant Power BI, data engineering, and AI/ML project experience.
Click on Apply to know more.