Data Solutions Engineer

Design and implement complex automation workflows across BigQuery, BI systems, and other tools.

Build and maintain operational integrations that connect various tools and systems directly (e.g., ClicData, Slack, Google Sheets, or marketing platforms).

Lead major incident investigations, conduct root cause analyses, and implement preventive improvements and recovery mechanisms.

Drive analytical and critical thinking in data initiatives; challenge assumptions and propose innovative solutions.

Mentor junior colleagues.

Manage version control, code reviews, and collaborative development via GitHub; lead debugging, monitoring, and optimization of automation pipelines.

Collaborate with the engineering team to ensure automations align with reporting and system needs.

Write and maintain clean, modular, and scalable code; establish automated testing.

Develop and maintain comprehensive documentation frameworks; create reusable guides and ensure transparency across projects.

Demonstrate exceptional attention to detail and establish team-wide quality standards; contribute to and align data strategies with organizational goals, influencing long-term data roadmap and architecture decisions.

2+ years of experience; good knowledge of SQL, JavaScript (used for automation in the Google ecosystem), and Python.

Experience with BigQuery or strong general database expertise; Dataform experience is preferred but not mandatory.

Hands-on experience with Airflow or similar orchestration tools.

Strong understanding of data architecture, modeling frameworks, and performance optimization.

Proven track record in automation, data quality improvements, and building internal tools (JS/Python).

Strong understanding of APIs and BI platform integrations.

Advanced experience using GitHub for collaborative development.

Excellent problem-solving, communication, and cross-functional collaboration skills.

Experience in AdTech is strongly preferred, or interest in the domain / marketing-related education.