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About the role
We are looking for a Data Engineer- Mid to design, build, and maintain scalable data pipelines and workflows, ensuring high data quality and seamless collaboration with cross-functional teams. Requirements 1 to 3 years of experience in data engineering or related roles Strong experience in Python (Pandas, SQLAlchemy, Airflow operators, etc.) Intermediate to advanced proficiency in SQL Hands-on experience with ETL/ELT processes Familiarity with orchestration tools like Airflow or Prefect Experience in managing and optimising data workflows from ingestion to transformation Ability to build reusable data processing scripts for validation, enrichment, and formatting Knowledge of data quality and integrity practices through validation frameworks or custom logic Experience working with data warehouses such as PostgreSQL, Redshift, or BigQuery Ability to develop and maintain data models and materialised views Experience implementing automation for recurring data tasks, error logging, and alerts Proficiency in version control using Git Familiarity with Docker and virtual environments is a plus Strong communication and stakeholder collaboration skills Ability to contribute to data documentation and codebase standardisation 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 We are looking for a Data Engineer- Mid to design, build, and maintain scalable data pipelines and workflows, ensuring high data quality and seamless collaboration with cross-functional teams. Requirements 1 to 3 years of experience in data engineering or related roles Strong experience in Python (Pandas, SQLAlchemy, Airflow operators, etc.) Intermediate to advanced proficiency in SQL Hands-on experience with ETL/ELT processes Familiarity with orchestration tools like Airflow or Prefect Experience in managing and optimising data workflows from ingestion to transformation Ability to build reusable data processing scripts for validation, enrichment, and formatting Knowledge of data quality and integrity practices through validation frameworks or custom logic Experience working with data warehouses such as PostgreSQL, Redshift, or BigQuery Ability to develop and maintain data models and materialised views Experience implementing automation for recurring data tasks, error logging, and alerts Proficiency in version control using Git Familiarity with Docker and virtual environments is a plus Strong communication and stakeholder collaboration skills Ability to contribute to data documentation and codebase standardisation 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
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