Lead Data Engineer

Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people. We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other AdTech platform. Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 17 countries. At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday. Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong.

About the Role

This is an exciting opportunity to shape the future of Ogury’s data platform, make data available to all teams and enable them to take well-informed data-driven decisions.The team worked hard in the past months to streamline and optimise our data load and transformation pipelines using Redshift, DBT, Airflow and CI tools (Jenkins). The next challenges ahead of us are:

• Near-real-time data reporting and analytics- Enabling all engineering teams to load and transform their data- Enforce the highest standards of data quality and reliability
  All this at a truly large scale! Our data lake holds Petabytes of data and we ingest and transform several terabytes per day! ### What you will be doing
• Define the long-term vision and lead execution of Ogury’s data platform
• Be hands-on: build and maintain the data platform from the pipeline itself to the documentation, dictionary, and critical support processes
• Identify, design and implement solutions for data processing and governance. Current key areas of improvements include: Near-real-time reporting, end-to-end data documentation and self-service analytics.
• Mentor other data engineers, drive excellency and software craftsmanship within the team and across the organization
• Evangelize data engineering and architecture best practices in the engineering team, building a data culture based on the highest quality and reliability standards

About you

• A high level of professional experience as a Data Engineer, focusing on building scalable data solutions
• Strong proficiency in Python and SQL
• Significant experience with a cloud provider (AWS preferred)
• A track record of building and leading the technical development of large-scale data platforms
• Experience with Cloud Data Warehouses or OLAP engines (Redshift, Snowflake, Clickhouse, Ocient, et al)
• Strong experience modelling data warehouses and building data pipelines
• Experience with Kafka, Airflow and dbt
• Team-player, curious, always eager to improve our current tools
• A proven track record of mentoring and leading other team members, technically
• Keen sense of data as a product and how it can serve the company