Data Solutions Engineer

Job Description

Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
• 3+ years in a data-intensive, customer-facing role with experience in technical support in a SaaS or Data platform environment, ideally in a Tier 2 / 3 or engineering-focused support function.
• Expert Python and SQL skills, with a proven ability to write and optimize complex queries for developing and managing robust data architectures
• Experience working with REST APIs.
• Familiarity with cloud platforms (Azure, GCP), Kubernetes, and CI / CD tools.
• Experience maintaining production-grade data pipelines and workflows in live customer environments.
• Knowledge of industrial data systems or domains such as Oil & Gas, Power, or Manufacturing is a plus.
• Experience with tools like Grafana, Power BI, or GraphQL is a bonus.
• Strong problem-solving and troubleshooting skills.

Excellent English communication skills and a customer-centric mindset

Roles & Responsibilities

We are seeking a Support Data Engineer with a strong blend of data and software engineering skills. You will be responsible for supporting production environments, troubleshooting customer deployments, and implementing proactive monitoring and operational improvements.

This role requires both deep technical capabilities and a customer-first mindset, with a focus on resolving issues efficiently, maintaining system stability, and driving continuous improvement.

Issue Troubleshooting & Customer Support

Advanced and Enterprise-Level Support

Customer Enablement & Knowledge Sharing

Mandatory Skills

Data Support Specialist, CDF, Python,SQL

Desirable Skills

Azure, GCP), Kubernetes, and CI / CD tools