Senior Industrial Data Platform Engineer

Fatima Group; Lahore; On-site; PKR 1,500,000 - 2,500,000; Full time

Job summary

Osol is seeking a hands-on Sr. Data Engineer to build the data and analytics backbone. You will standardize data engineering practices, develop reusable accelerators, and lead multi-source data pipelines across cloud, on-prem, and hybrid environments. You will mentor engineers as the practice grows and guide client engagements from pilots to production.

The role emphasizes streaming, CDC, data quality, governance, and scalable architecture for industrial AI and manufacturing use cases.

Qualifications

• Production-grade data pipelines and platforms end-to-end.
• Experience with at least one modern data platform (cloud and on-prem) and another platform.
• Strong SQL, Python, and Spark expertise; hands-on delivery experience.
• Understanding of batch and real-time pipelines, change data capture (CDC).

Responsibilities

• Define standard data engineering methodology, patterns, and testing standards.
• Plan and run proofs of concept and pilots across cloud, on-premises or hybrid platforms.
• Build reusable ingestion frameworks, data quality rule libraries, and CI/CD templates.
• Create data pipelines for structured, semi-structured, and unstructured data (ERP, APIs, logs, IoT).
• Implement CDC and event-driven integration; handle late and out-of-order data.
• Incorporate security, governance, data quality checks, and monitoring of pipelines.
• Develop portable pipelines that run on-premises and in the cloud; maintain data separation per client.
• Deliver industrial AI data sets and feature pipelines from pilot to production.
• Lead technical delivery and support presales with discovery, sizing, and demos.

Skills

Production data eng

Platform depth

SQL

Python

Spark/PySpark

Batch, streaming & CDC

Semi-structured data

Data modeling

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Kafka

CI/CD

Job description

Osol is seeking a hands-on Sr. Data Engineer to build the data and analytics backbone. You will standardize data engineering practices, develop reusable accelerators, and lead multi-source data pipelines across cloud, on-prem, and hybrid environments. You will mentor engineers as the practice grows and guide client engagements from pilots to production.

The role emphasizes streaming, CDC, data quality, governance, and scalable architecture for industrial AI and manufacturing use cases.