Lead Data Engineer
We are seeking a skilled Lead Data Engineer to own and optimize data pipelines, improve ETL infrastructure, and enable AI-driven analytics. You will work closely with cross-functional teams to enhance data governance, build scalable solutions, and support automation and predictive modeling initiatives. This is a hands-on leadership role with direct impact on data strategy and platform evolution.
Requirements
- 7+ years of data engineering experience, ideally in a fast-paced agency or multi-client environment.
- Strong expertise in Google Cloud Platform (BigQuery, GCS, Dataflow, Dataprep/Alteryx).
- Proficient in SQL and Python, with a focus on data transformation and reliability.
- Proven experience building and maintaining ETL pipelines in production.
- Familiarity with metadata-driven development, version control, and task orchestration tools (e.g., Airflow).
- Excellent communication skills and ability to collaborate with technical and non-technical stakeholders.
What we offer
- Opportunity to shape and influence data platform direction and governance practices.
- Work on cutting-edge analytics, AI, and automation initiatives.
- Collaborate with a talented, data-focused team in a fast-growing environment.
- Competitive compensation and potential for permanent placement after probation.
- Remote work flexibility and impactful leadership responsibilities.
What will the process look like?
- Application: Submit your application online for review.
- Technical Assessment: Complete a skills evaluation or coding task.
- Interviews: 1-2 rounds focused on technical expertise, problem-solving, and team fit.
