We are seeking a high-caliber Data Engineer Team Lead to spearhead the evolution of our data infrastructure. We operate at the intersection of AI-driven optimization and retail inventory management, handling massive streams of real-time data to help global brands make smarter decisions.
In this role, you will balance technical leadership with hands-on engineering. You will be responsible for designing scalable data pipelines, overseeing our data architecture, and mentoring a talented team of engineers to ensure our data is reliable, accessible, and high-performing.
Team Leadership: Lead, mentor, and grow a team of data engineers. Conduct code reviews, facilitate technical discussions, and foster a culture of engineering excellence.
Architecture & Design: Design and implement robust, scalable, and automated data pipelines (ETL/ELT) that support real-time and batch processing.
Data Governance: Ensure the highest standards of data quality, integrity, and security across all environments.
Cross-Functional Collaboration: Partner with Data Scientists, Product Managers, and Backend Engineers to translate business requirements into technical data solutions.
Innovation: Stay at the forefront of data engineering trends. Evaluate and implement new technologies to improve our data stack's efficiency and cost-effectiveness.
Hands-on Development: Writing clean, maintainable, and efficient code to solve complex data challenges.
Experience: 5+ years in Data Engineering, with at least 1–2 years in a leadership or "lead" capacity.
Data Stack Proficiency: Deep experience with cloud data warehouses (e.g., Snowflake, BigQuery) and orchestration tools (e.g., Airflow, Dagster).
Programming: Mastery of Python and advanced SQL.
Big Data Tech: Experience with Spark, Kafka, or similar distributed processing frameworks.
Cloud Infrastructure: Proven experience working within AWS, GCP, or Azure environments.
Modeling: Strong understanding of data modeling (Star Schema, Data Vault) and modern tools like dbt.
Experience in the Retail, Supply Chain, or Fintech sectors.
Background in building data products that support machine learning models at scale.
Familiarity with IaC (Infrastructure as Code) tools like Terraform.
Experience working in a fast-paced, high-growth startup environment.
Urban Recruits specialises in connecting companies of all sizes—from startups to large tech companies, defense and cybersecurity—with the industry's brightest minds.We focus on recruiting top-tier developers, DevOps engineers, QA professionals, data experts and more. Our tailored approach ensures that each placement not only meets your technical needs but also aligns with your company's unique culture and growth goals.