Lead Data Engineer

Mindy Support is a global provider of data collection, annotation, and curation services, partnering with leading global technology companies. 

Our mission is to deliver high-quality, ethically sourced data that fuels the next generation of AI/ML products and solutions. We combine people, process, and technology to deliver reliable data solutions at a large scale.

Role Overview
 

We are seeking an experienced Data Engineer to design, build, and optimize data pipelines and infrastructure, supporting our annotation and curation workflows. 

Beyond engineering excellence, this role requires strong client-facing skills. You will engage directly with enterprise-grade clients to gather requirements, analyze use cases, and ensure project success. You will also contribute to our internal innovation initiatives, helping shape and extend our data services offering.
 

This role is ideal for a technical leader who can and wants to act at the intersection of data engineering, client engagement, and innovation.

For the right candidate, this position offers a clear growth path to a technical leadership role at the organizational level.

Key Responsibilities
 

• Data Engineering & Infrastructure
  
   
  • Design, build, and maintain robust ETL/ELT pipelines for diverse data sources (text, image, audio, video) both on our and clients’ infrastructures. 
  • Develop scalable data processing systems to support data collection/generation, curation, and labeling workflows.
  • Ensure data quality, security, and compliance across projects.
  • Optimize storage, retrieval, and transformation processes for performance and cost efficiency.
    
     
• Client Engagement & Project Coordination
  
   
  • Participate in requirements elicitation, translating client needs into technical solutions.
  • Collaborate with our project managers and operations team to align engineering solutions with project goals.
  • Help clients to build proper Data Governance frameworks
  • Communicate technical aspects, risks, and dependencies to clients and internal stakeholders.
    
     
• Leadership & Innovation
  
   
  • Provide technical leadership to our cross-functional team.
  • Drive innovation initiatives to extend our portfolio of data services (e.g., automation tools, quality assurance workflows, synthetic data pipelines, advanced analytics etc.).
  • Stay up to date with industry trends in Data Engineering, Data Science and overall developments of Generative AI/Agentic AI/Physical AI

Qualifications

• 5+ years in data engineering, with at least 2 years in a senior or lead role;
• Strong proficiency in Python, SQL, and one or more big data frameworks (Spark, Beam, Flink, etc.);
• Experience with cloud platforms (preferably AWS) and data warehouse solutions (BigQuery, Snowflake, Redshift or similar);
• Knowledge of data modeling, pipeline orchestration (Airflow, Prefect, Dagster), and API integration;
• Familiarity with unstructured data processing (text, image, audio, video);
• Advanced to Fluent English;
• Excellent communication and stakeholder management abilities;
• Strong analytical and problem-solving mindset;
• Proven track record in collaborating with clients and cross-functional teams.
  
   

Would be an advantage:

• Experience in data annotation field
• Prior involvement in innovation or R&D initiatives
• Relevant professional certifications
• Experience working with American Big Tech (Apple / Google / Amazon / Meta / Microsoft / NVIDIA / OpenAI / Anthropic / Palantir or similar companies)
  
   

What We Offer

• Opportunity to work with leading global technology companies shaping the future of AI
• A dynamic environment that values innovation, experimentation, mutual trust and respect
• Career growth pathways into company-wide technical leadership
• Competitive compensation and benefits package
• Flexible remote work arrangement