Data & AI Solutions Engineer (Analytics, BI & MarTech)

About the Role & What We NeedAt Turna.com, we are looking for a versatile, tool-agnostic team member to help transform our travel data into actionable insights, MarTech/growth initiatives, and automated workflows.We don't expect you to be a 10-year architect who knows every single tool by heart—we expect you to have strong core data fundamentals (SQL, BI, Python) combined with high communication energy and curiosity.You will work across the full data value chain: modeling data in our warehouse, building BI dashboards, automating routine tasks with AI Agents, and supporting our MarTech & Growth operations (CDP scenarios, product feeds, basic HTML/script touches). At the same time, you will act as a bridge (Data PO / Facilitator) between technical systems and business teams, turning data into clear presentations and actionable growth solutions.Key Responsibilities· Analytical Data Modeling & BI: Build and optimize clean, reliable data models (Single Source of Truth) in our Cloud Data Warehouse. Design high-performance, intuitive dashboards on modern BI platforms to support daily and strategic decisions.· Event Pipelines & Data Integration: Build, maintain, and monitor behavioral event pipelines and batch ELT/ETL workflows using Python and modern integration tools.· AI Agents & Workflow Automation: Leverage Python and AI Agents (LLM-powered workflows, automated reporting/alerting assistants) to eliminate manual repetitive tasks, run anomaly checks, and accelerate daily development.· MarTech & Growth Solutions Support: Collaborate with Marketing and Product teams as a technical enabler. Help implement Identity Stitching (user unification) logic, configure CDP segments, manage dynamic product/data feeds (XML/JSON), and apply lightweight HTML/JS script touches when needed.· Data PO Mindset & Stakeholder Communication: Listen to business requests, ask the right questions to uncover the real need, define metrics, and manage tasks transparently via Jira. Translate technical findings into clear slide decks and presentations for non-technical teams.· Data Governance & Compliance Awareness: Apply data quality and access-control standards in daily work while ensuring customer and marketing data flows respect local KVKK and İYS regulations.Qualifications (What You Need to Have)· Language: Native or fluent Turkish (written and spoken) is mandatory.· Experience: 2–5 years of hands-on experience in Analytics Engineering, BI Engineering, Data Engineering, MarTech, or a similar cross-functional data role.· Core Technical Stack:o Strong SQL skills for data modeling, transformation, and query optimization on cloud data warehouses.o Solid experience with modern BI & visualization tools (building clean, actionable dashboards).o Working proficiency in Python (for data scripting, API integrations, or automation) and Git (GitHub, GitLab, or Bitbucket).o Familiarity with relational/NoSQL databases and ELT/ETL pipeline concepts.· Communication & Presentation Power: Comfortable speaking with business teams, managing expectations on Jira, and preparing clear visual presentations/slides to tell the story behind the data.· AI-First & Fast-Learner Mindset: Eager to use AI Agents in daily workflows and capable of quickly learning unfamiliar concepts (whether it's a new CDP interface, a basic HTML/JS snippet, or a new data tool).· Remote Work Discipline: Self-driven, organized, and proactive in a fully remote environment.Nice-to-Haves & Growth Areas (What You Will Learn or Bring as a Bonus)(You don’t need to check every box below on day one—having experience in a few of these and excitement to learn the rest is what matters!)· Practical experience or familiarity with CDP platforms (especially Meiro) and Marketing Automation tools (especially Dengage),· Exposure to Identity Stitching / Resolution, GA4 (BigQuery exports), GTM, event-driven clickstream data, or dynamic marketing feeds,· Experience with our ecosystem tools: Google BigQuery, Airbyte, dbt, Looker Studio, Metabase, GCP, or Huawei Cloud,· Working knowledge of Data Governance practices and Turkish KVKK / İYS compliance processes,· Familiarity with e-commerce or OTA (Online Travel Agency) growth metrics (Funnels, Retention, LTV, CAC).