Senior Data Engineer
About Us
BOI is pioneering the field of AI strategy and applied AI, partnering with large-scale, ambitious businesses around the world to ideate, design, and build AI products that transform the way they work. We don’t just help organizations imagine what’s possible - we build the software that turns that vision into reality.
We work across different sectors and functions and have built a world-class team that unites commercial expertise, smart strategy, and technology. If you’re passionate about building enterprise AI products from 0->1 and leading projects at the forefront of AI innovation, we’d love to meet you!
About the Role
We are hiring a Lead Data Engineer to design, build, and manage scalable data pipelines that support our AI-powered tools and applications, including agentic and predictive AI. You will integrate, harmonize, and transform data from disparate sources to ensure it is ready for use in foundational model integrations. This is a hands-on role where you will be responsible for building and implementing systems from the ground up. You would write production-level code while defining processes and best practices for future team growth.
You will
- Work together with a collaborative international team of engineers, designers and solution leads to understand customer business needs and translate them into end-to-end solutions.
- Develop and manage ETL pipelines to extract, transform, and load data from various internal and external sources into harmonized datasets.
- Design, optimize, and maintain cloud databases and data storage systems (PostgresSQL, MongoDB, Object storage).
- Ensure data integrity, quality, and security across all pipelines and workflows, and enforce data access and governance systems.
- Collaborate with AI Engineers to prepare data for use in model workflows (e.g. vector embeddings).
You have
- 5+ years of experience building secure and scalable cloud data infrastructure, and a degree in Computer Science or related field.
- Experience in Python, SQL, and data transformation libraries like pandas or PySpark.
- Hands-on experience with data pipeline orchestration tools like Apache Airflow or Prefect.
- Solid understanding of database design and optimization for relational and non-relational databases.
- Experience with deployment on one of the major cloud providers (preferably Azure).
- Advanced English skills, both written and verbal, with the ability to communicate effectively in an international team.
You are
- Experience working in a consulting or agency environment on project-based work.
- Passionate about working with data and building reliable scalable systems.
- Familiar with DevOps practices in CI/CD for infra-as-code (e.g. terraform, helm, argo), container orchestration (e.g. docker, k8s), and deployment automation.
- Passionate about continuously improving code quality by performing code reviews, and following best practices for testing and debugging.
- Able to take charge of a project from conception till production-level customer deployment.
- Willing to work with the team to develop knowledge around new technology as well as software development best practices.
Job evolution
- Within your first month, you will integrate with the team, help set up best development practices and initial data pipelines.
- Within your third month, you will be actively involved in a client project, scoping the project and implementing user stories.
- Within your six months, you will be involved in multiple client projects, having already brought one from inception to a scalable client deployment. You will be actively working with the team to develop internal software primitives and IP.
Note: We will start screening candidates after August 25th.