What you will do:
The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for an experienced and passionate Data Engineering Team Leader to lead a team of 5 seasoned data engineers. You will play a critical role in designing and delivering scalable, reliable data infrastructure and ETLs, enabling our machine learning, analytics, and product teams to deliver maximum impact.
Lead and grow a high-performing team of experienced data engineers.
Define and implement the teams technical roadmap, ensuring alignment with AI, Data, and Researchs achieving strategic objectives and product roadmap.
Own the development, and operation of robust, scalable, and efficient data pipelines and services.
Oversee the quality, performance, and maintainability of the teams codebase and delivered solutions.
Manage delivery plans, track progress, resolve blockers, and ensure on-time delivery.
Drive best practices in software engineering, data modeling, data quality, code quality, security, observability, and operational excellence.
Translate business and research requirements into scalable technical data solutions.
Foster a culture of ownership, collaboration, continuous learning, drive improvement and innovation within the team.
Actively mentor team members, guide career development, and conduct regular performance reviews.
The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for an experienced and passionate Data Engineering Team Leader to lead a team of 5 seasoned data engineers. You will play a critical role in designing and delivering scalable, reliable data infrastructure and ETLs, enabling our machine learning, analytics, and product teams to deliver maximum impact.
Lead and grow a high-performing team of experienced data engineers.
Define and implement the teams technical roadmap, ensuring alignment with AI, Data, and Researchs achieving strategic objectives and product roadmap.
Own the development, and operation of robust, scalable, and efficient data pipelines and services.
Oversee the quality, performance, and maintainability of the teams codebase and delivered solutions.
Manage delivery plans, track progress, resolve blockers, and ensure on-time delivery.
Drive best practices in software engineering, data modeling, data quality, code quality, security, observability, and operational excellence.
Translate business and research requirements into scalable technical data solutions.
Foster a culture of ownership, collaboration, continuous learning, drive improvement and innovation within the team.
Actively mentor team members, guide career development, and conduct regular performance reviews.
Requirements:
Bachelors degree in computer science, Software Engineering, or a related field.
3+ years of experience as a data engineering team leader in a product-based company.
5+ years of hands-on in SQL and Python / Pyspark (or Java / Scala), data modeling techniques and concepts – such as Facts, Dimension, Partitions, etc.
Experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
Proven experience with CI/CD processes and agile development methodologies.
Strong interpersonal and communication skills.
Demonstrated ability to manage and develop a team with varying levels of experience.
Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
Self-motivated and goal-oriented with a high work ethic.
Ability to balance long-term architectural vision with fast-paced delivery, in early-stage development or startup environment.
Bachelors degree in computer science, Software Engineering, or a related field.
3+ years of experience as a data engineering team leader in a product-based company.
5+ years of hands-on in SQL and Python / Pyspark (or Java / Scala), data modeling techniques and concepts – such as Facts, Dimension, Partitions, etc.
Experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
Proven experience with CI/CD processes and agile development methodologies.
Strong interpersonal and communication skills.
Demonstrated ability to manage and develop a team with varying levels of experience.
Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
Self-motivated and goal-oriented with a high work ethic.
Ability to balance long-term architectural vision with fast-paced delivery, in early-stage development or startup environment.
This position is open to all candidates.
