Data Engineer

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 7+ years of experience in integration development, backend/API engineering, or data engineering roles
• 2+ years in a lead or senior capacity, with proven ability to guide engineers and project

Integration & Data Engineering Skills

• Experience building and optimizing data pipelines for both real-time and batch processes
• Deep SQL and PL/SQL knowledge (Oracle, PostgreSQL)
• Understanding of stored procedures, views, DB packages, and performance tuning
• Familiarity with API testing and debugging tools (Postman, curl, Bruno)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience migrating on-prem integrations to SaaS/cloud platforms

Leadership & Communication

• Demonstrated ability to mentor engineers, conduct code/design reviews, and set technical direction
• Strong communication and presentation skills; able to interact with business stakeholders and technical teams
• Experience leading cross-functional integration initiatives

AI-Driven Engineering

• Experience using modern LLMs and AI assistants as an integral part of software engineering work
• Experience designing, building, or using AI agents and automated workflows to solve engineering problems
• Ability to integrate AI into software engineering processes, including system analysis, solution design, development, testing, and technical documentation
• Ability to critically evaluate AI-generated outputs, validate their correctness, and maintain full ownership of technical decisions and solution quality

Will be a Plus

• Expertise in iPaaS or ETL platforms (Boomi, Talend, SnapLogic, NiFi, Azure Data Factory, etc.)
• Understanding of GraphQL and modern API access patterns
• Familiarity with BI/reporting tools (Cognos, Argos, Tableau, Metabase)
• Proficiency in one or more languages: JavaScript (Node.js), Python, Java

Responsibilities

• Own the integration strategy and architecture for enterprise data flows and APIs.
• Lead design, development, and optimization of complex data integration pipelines.
• Define and enforce standards for API usage, data mappings, error handling, and performance.
• Evaluate new technologies and recommend adoption where appropriate.
• Ensure integrations are scalable, secure, and compliant with enterprise requirements.
• Lead and mentor a team of integration engineers, providing technical guidance and career development.
• Conduct design and code reviews, ensuring high-quality deliverables.
• Champion best practices in integration, testing, and DevOps.
• Coordinate workload distribution and ensure alignment with project milestones.
• Work closely with software engineers, architects, business analysts, and external vendors.
• Translate business requirements into technical solutions and present integration designs to stakeholders.
• Act as primary escalation point for integration-related issues.
• Document integration architectures, workflows, and governance frameworks for transparency and knowledge sharing

We offer:

• Regular performance-based salary reviews.
• Flexible schedule and the option to work remotely.
• Paid vacation, sick leave, and public holidays.
• Health insurance or sports compensation after the probation period.
• Partial reimbursement for English language courses.
• Decent salary, tax assistance.
• ⁠Friendly teams, experienced colleagues, and perfect work equipment.

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