Middle / Senior Data Solutions Engineer

Time zone: CET
Location: EMEA

• 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.

• 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.

• Mentor junior colleagues.

• 2+ years of experience with 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 or marketing-related education.