Senior Data Solutions Engineer

What you'll do:

• 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.

What you bring:

• 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.

What we offer:

• 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.

Steps of the selection process:

• 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.

Note: This role is open to applicants from:

EMEA (selected countries)

Please note that we’re unable to consider applications from outside these regions. Thanks for your understanding!