Data Engineer II

About the role

At Nium, we’re revolutionising the global payments industry — and data sits at the core of everything we do. We’re looking for a passionate and skilled Data Engineer to join our India‑based Data Engineering team.

Key responsibilities

• Build and optimise scalable, maintainable, high‑performance data pipelines and workflows.
• Ingest, transform, and deliver high‑volume data from structured and unstructured sources, including MySQL databases and real‑time Kafka streams.
• Design and maintain performant data models in Redshift and optimise SQL queries for analytics and reporting.
• Contribute to cloud migration efforts and evolve the data architecture with new ideas and improvements.
• Collaborate with cross‑functional, globally distributed teams to translate business requirements into robust technical solutions.
• Embed data quality, reliability, observability, and security as first‑class principles across the platform.
• Support and enhance data solutions operating in a mission‑critical payments environment.
• Continuously learn, share knowledge, and raise standards for data governance, quality, and security.

Required profile

• 2–3 years of professional experience in Data Engineering or a related role.
• Strong SQL expertise, including query optimisation, complex transformations, and data modelling.
• Solid Python skills for data engineering and pipeline development.
• Hands‑on experience with AWS services such as Redshift, Lambda, Glue, and S3, and Airflow for orchestration.
• Familiarity with modern transformation and modelling practices using dbt.
• A collaborative mindset, strong problem‑solving abilities, and willingness to take ownership.

Required skills

• SQL
• Python
• AWS Redshift
• AWS Lambda
• AWS Glue
• AWS S3
• Airflow
• dbt
• Kafka
• MySQL