Data & Automation Engineer

Synmatch AI

15h

About The Position

Ready to engineer data systems that drive real business transformation? Join Synmatch AI's client as a Data & Automation Engineer with a company where you'll work on projects that tangibly transform businesses while fostering your professional and personal growth. They combine performance, initiative, and genuine development opportunities in a dynamic consulting environment. Our client needs a hands-on data engineer who can design robust databases, build reliable pipelines, and integrate messy real-world data from ERP systems, CRMs, and accounting tools into clean, unified platforms. You'll work closely with finance consultants to structure financial data and improve reporting efficiency across client engagements. This role offers deep technical work combining database design, Python automation, and data integration in a fast-paced environment where your pipelines directly support business decision-making through Power BI dashboards and custom reporting tools.

Requirements

• 2–3 years of hands-on experience in SQL database development (PostgreSQL, MySQL, or similar) including schema design, indexing, and query optimization
• Strong Python skills for data engineering — building pipelines, API integrations, and automation workflows
• Hands-on experience ingesting data from diverse sources: REST APIs, databases, and cloud platforms
• Comfortable working with command line, Linux environments, and containerized workflows (Docker)
• Ability to structure and clean messy financial or operational data from heterogeneous sources
• Familiarity with version control (Git) and CI/CD pipelines
• Fluent English - written and spoken
• Independent, quality-driven approach with hands-on mentality

Nice To Haves

• Familiarity with Power BI for reporting and dashboard development

Responsibilities

• Design and maintain relational databases (PostgreSQL) for internal reporting and client projects
• Build and operate ETL/ELT pipelines in Python to ingest data from diverse sources - APIs, SFTP, cloud exports, and third-party systems
• Connect and integrate multiple data sources into unified data platforms (e.g., ERP systems, CRMs, accounting tools)
• Write and optimize complex SQL queries for data transformation and reporting use cases
• Support dashboard backends for Power BI and custom reporting tools
• Work closely with finance consultants to structure financial data and improve reporting efficiency

Benefits

• Work on projects that transform companies while developing your own career
• Genuine personal and professional growth pathways in data engineering
• Build data systems that directly improve business reporting and decision-making
• Work alongside finance consultants and technical teams in a performance-driven culture

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed