Senior 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.

• USD compensation that values your expertise.‍
• Work from anywhere: Fully remote to suit your lifestyle.‍
• 31 days of paid time off: 21 days of annual leave + 10 days of sick leave, because your health and work-life balance matter.‍
• Growth-focused environment: Access to learning resources and clear pathways for growth.‍
• Fun team events: Virtual cooking classes, yoga sessions, team quizzes and more
• ‍A culture of trust: We cut the red tape — results over rules always. Open talk, ownership, and getting things done together.

• Screening Interview (45 minutes) – Initial conversation with a recruiter.
• Test Assignment (2 days) – Complete a task to showcase your skills.
• Technical Interview (up to 60 minutes) – A deep dive into your functional expertise, problem-solving approach, and practical skills relevant to the role.
• Final Interview (Up to 60 minutes) – Meet with the Team Lead for an in-depth discussion of your experience and skills.
• Offer – If successful, you’ll receive an offer to join our team.

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‍AI Digital does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other protected class in terms of employment. We support workplace diversity and believe strongly that it contributes to a broader collective perspective that consistently leads to better products and a better company. We are working hard to increase the diversity of our team.