We’re passionate about building seamless digital experiences powered by robust and intelligent data systems. We’re on the lookout for a Data Engineer
- Senior to architect and maintain high-performance data platforms that fuel decision-making and innovation. If you enjoy designing scalable pipelines, optimising data systems, and leading with technical excellence, you’ll thrive in our quick-paced, outcome-driven culture. You’ll take ownership of building reliable, secure, and scalable data infrastructure
- from streaming pipelines to data lakes. Working closely with engineers, analysts, and business teams, you’ll ensure that data is not just available, but meaningful and impactful across the organization. Requirements
• 5+ years of experience in Data Engineering and production-scale data platforms.
• Design and manage Apache Airflow pipelines for high-volume sensor, satellite, and third-party data ingestion.
• The project requires experience with Object Storage (such as AWS S3 or MinIO), Kafka streaming, and familiarity with an Ubuntu environment.
• Build and optimize Apache Spark workloads for batch processing, geospatial analytics, and large-scale aggregations.
• Develop and maintain PostgreSQL, TimescaleDB, PostGIS, and DuckDB-based data solutions.
• Implement efficient data ingestion, transformation, and bulk-loading pipelines.
• Containerize and deploy applications using Docker and Docker Compose, including air-gapped environments.
• Collaborate with customer teams to translate business requirements into data products and analytical solutions.
• Ensure data quality, lineage, observability, performance, and SLA compliance.




• Troubleshoot production issues and optimize pipeline, database, and query performance.
• Create and maintain technical documentation, data models, and operational run-books.
• Demonstrate strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL.
• Experience with geospatial and time-series data, S3-compatible storage, and secure customer environments.
• Strong communication, stakeholder management, and problem-solving skills. Benefits
• Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work
• Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
• Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
• Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments.
• Opportunity to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value
• Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution
• Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build
• Annual recognition programs and performance-driven awards in a truly meritocratic environment
• Referral bonuses that reward you for helping grow a strong, like-minded team
• A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges
• A positive, people-first workplace that supports happiness, balance, and long-term growth

📌 Data Engineer (New Delhi)
🏢 spark eighteen
📍 New Delhi