Flexiple
Website:
flexiple.com
Job details:
IMMEDIATE HIRE | MOVING QUICKLY
Tired of working on isolated dashboards with no real business impact? This is your chance to own end-to-end data engineering for a global industrial technology leader — building trusted data products that directly drive decisions across international business teams.
PULS Group is a global leader in DIN rail power supplies and industrial power technology, expanding its India analytics capability to replace and localize data engineering that previously sat in Munich. We are hiring a Data Engineer – Snowflake & SAP Analytics to build reliable data pipelines from SAP S/4HANA into Snowflake and enable faster, more confident decisions across global controlling and analytics teams.
PULS operates across 25+ countries with a reputation for engineering precision and global operational standards built over decades.
If you meet 70% of the requirements below, we strongly encourage you to apply.
What You'll Do
- Build and maintain reliable data pipelines from SAP S/4HANA into Snowflake — ensuring clean, consistent, business-ready data for global controlling and analytics teams
- Model, transform, and optimize data in Snowflake using strong SQL, structured layers, semantic models, and performance-aware data engineering practices
- Partner with business controllers and global stakeholders to convert requirements into MVPs, functional testing, UAT, rollout, and ongoing enhancements across 2–3 month project cycles
- Support Power BI as the reporting and visualization front-end — including datasets, dashboards, calculations, and validation of outputs against source systems
- Work through Jira-based delivery while communicating clearly with teams across India, Germany, Czech Republic, China, and external partners
- Explore emerging Snowflake AI and Cortex use cases including chatbot-style interaction with SAP and business data
What We're Looking For
- 3–5 years of data engineering, analytics engineering, or BI engineering experience — no freshers for this role
- Strong hands-on Snowflake experience is the top priority — data modeling, transformations, warehouse concepts, and performance optimization
- Advanced SQL and practical ETL/ELT or data pipeline experience — ideally around business, finance, controlling, operations, or manufacturing data
- SAP S/4HANA exposure is a strong advantage — candidates with strong Snowflake fundamentals and emerging SAP depth are still encouraged to apply
- Power BI experience for front-end visualization is helpful but should not outweigh Snowflake and data engineering strength
- Computer Science or Information Systems background preferred — Snowflake Cortex or AI/ML on Snowflake exposure is a strong bonus
- Data Engineer, Analytics Engineer, BI Engineer, ETL Developer, Data Platform Engineer, or SQL Developer with equivalent experience are welcome to apply
Don't meet every requirement? If you're excited about this role and meet 70% of the criteria — apply anyway. We hire for potential as much as experience
Our Hiring Process
Flexiple Interview → Profile Review → Round 1 → Round 2 → HR Round
We are shortlisting candidates within 24–48 hours — apply now to be considered.
Not the right fit? Tag someone in your network who might be.
Click on Apply to know more.