TL;DR
Tech Lead - Data Engineering (AI): Shaping how data is collected, processed, and used across the organization with an accent on defining technical strategy, system design, and ensuring data quality and governance. Focus on building AI-driven capabilities, optimizing Spark jobs in Databricks, and leading a high-performing data engineering team.
Location: Fully Remote
Company
hirify.global powers the youth digital ecosystem with proprietary ad and gaming products, audience insights, and compliance capabilities.
What you will do
- Lead and strategically direct the Data Engineering team, translating business needs into technical strategy.
- Define and own the technical direction and architecture for the data function, leading system design activities.
- Oversee data ingestion, enrichment, transformation, and distribution systems within the data lake.
- Implement strong data management, governance practices, and optimize Spark jobs and pipelines in Databricks.
- Mentor engineers, build a high-performing culture, and ensure system quality, scalability, and maintainability.
Requirements
- Proven track record of success in highly dynamic, fast-paced environments.
- Expert understanding of Data pipeline design and implementation using Databricks and Python (or PySpark).
- Expert visualization skills using Sisense and/or other tools, and expert SQL skills.
- Expert understanding of Data management and/or Data governance principles.
- Experience with modern cloud-based Data Engineering on AWS or other cloud platforms.
Nice to have
- Experience with Kedro on Databricks or designing and implementing Data mesh.
- Exposure to Airbyte reading from multiple different data sources.
- Good understanding of microservices architecture principles.
Culture & Benefits
- Employee equity programme and opportunities for professional growth and development.
- Flexible working arrangements and a collaborative, inclusive work environment.
- 25 Days Holiday + 8 Public Holidays and a Winter Break.
- Enhanced Company Maternity & Paternity pay.
- Private Medical Insurance, Income Protection & Life Assurance, and Pension contribution.
- Cycle to Work & Tech Scheme.
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