Senior Data Analytics Engineer

📋 Description

• Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
• Write sophisticated, performant SQL to extract insights from large-scale datasets
• Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
• Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and
• Develop internal tooling and automation using Python, FastAPI, and modern frameworks
• Communicate findings clearly to technical and non-technical stakeholders—translate data into action

🎯 Requirements

• 7+ years of professional experience in data analytics engineering, data engineering, or a related
• Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience
• Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and
• .js experience - ability to build data-facing web applications and internal dashboards
• Deep understanding of data architecture - how databases are structured, how data flows, how schemas
• Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative

🎁 Benefits

• 25 days paid annual leave (plus holidays)
• A massive degree of flexibility and freedom
• Competitive compensation package
• Opportunity to impact the world of technology by pushing the boundaries of technology and business
• Collaborating with high-caliber colleagues around the world, offering unparalleled learning and