Data Engineer – Build Scalable Data Pipelines

About the role

The Data Engineer will design, build and maintain reliable, scalable data pipelines and platforms that support reporting, analytics and operational decision‑making. You will work closely with platform, analytics and business teams to deliver clean, structured and timely data.

Key responsibilities

• Design, build and maintain end‑to‑end data pipelines for ingesting, transforming and delivering data.
• Implement scalable, secure and high‑performance batch and real‑time pipelines.
• Ensure seamless integration across IT, OT and analytics platforms.
• Maintain high availability, reliability and performance of data platforms.
• Collaborate with cross‑functional teams to deliver data solutions aligned with business needs.
• Translate business requirements into scalable technical solutions.
• Stay up‑to‑date with industry trends and emerging technologies.

Required profile

• 4–7 years of experience in data engineering, distributed systems or data platform operations.
• Proven ability to build and maintain production data pipelines.
• Bachelor's degree in Computer Science, Data Engineering or related field (Master's preferred).
• Strong analytical and problem‑solving skills.
• Effective communication and ability to work in cross‑functional teams.

Required skills

• Python
• SQL
• Experience with cloud‑native services such as Databricks, Snowflake, Azure Synapse or Google BigQuery.
• ETL development and data modeling.
• Report writing.