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Data Engineer – Remote – Ankara – Ankara

Job Description

Apply now for the position Data Engineer – Remote – Ankara – Ankara and let’s achieve great things together! Become part of a successful team and achieve success beyond your previous capabilities. Hungry for more? Properti is the leading and multi-award-winning PropTech broker in Switzerland. We combine highly trained experts with the latest technologies on an intelligent platform to provide customers, brokers and service partners with risk-free, flexible and simplified services. If you can imagine working at Technology in Ankara, apply now for the position.

Tasks

Data Platform & Pipelines

  • Design, build, and maintain ETL/ELT pipelines that ingest, transform, and deliver data from internal and external sources
  • Integrate new data sources as the business grows — APIs, third-party feeds, operational databases, and more
  • Own the reliability, quality, and observability of the data platform end-to-end

Data Lake & Infrastructure

  • Build and evolve our data lake architecture on AWS (S3, Glue, Athena, Lake Formation, or similar)
  • Define standards for data storage, partitioning, schema management, and access control
  • Ensure data is well-organised, well-documented, and trustworthy

Data Services & Exposure

  • Build web services and APIs that expose data to internal teams, products, and AI systems
  • Enable data consumers — engineers, analysts, agents — to access the right data in the right shape

Analytics & ML

  • Analyse data to surface patterns, anomalies, and business insights
  • Collaborate on building and deploying ML models that generate new understanding from our data
  • Work closely with product and engineering teams to translate business questions into data solutions

Automation & AI

  • Use AI tools as a daily driver to accelerate pipeline development, data exploration, and model experimentation
  • Identify opportunities to automate data workflows and reduce manual intervention
  • Stay current with AI and data tooling and bring the best of it into the platform

Job requirements

  • 5+ years of professional experience as a Data Engineer or ML Engineer at a senior level
  • Degree in Computer Science, Data Science, or a related field from a reputable university, or equivalent demonstrable experience
  • AI fluency — you use AI tools actively in your daily work and know how to apply them to data problems, not just coding tasks
  • Strong experience designing and operating data pipelines and ETL/ELT workflows in production
  • Solid knowledge of data lake architecture and engineering — storage layers, cataloguing, partitioning, access patterns
  • Experience with AWS data services (e.g. S3, Glue, Athena, Redshift, Lake Formation)
  • Ability to build web services and APIs that expose data cleanly and reliably
  • Experience with data analysis and working alongside or directly on ML models
  • Strong ownership mindset — you treat the data platform as a product and take responsibility for its quality and reliability
  • Fluent English (written and spoken)

Nice-to-have

  • Familiarity with real estate or proptech data domains
  • Experience with Salesforce data models or CRM data integration
  • Hands-on ML model development and deployment experience
  • Exposure to agentic or LLM-powered data workflows (e.g. AI-assisted data exploration, automated anomaly detection)

Mindset

  • You care deeply about data quality — you know that bad data costs more than no data
  • Ownership-driven: you don't wait to be told what's broken, you find it and fix it
  • Curious about both the technical and business side — you want to understand what the data means, not just how it flows
  • Collaborative and communicative, comfortable working with engineers, product managers, and analysts alike

Stack: Python

  • SQL
  • AWS (S3, Glue, Athena, Redshift)
  • ETL/ELT
  • REST APIs
  • ML tooling
  • Claude
  • Cursor

Job advantages

  • Exceptional career growth and strong commitment to talent development
  • A dynamic, forward-thinking company rooted in entrepreneurial culture with flat hierarchies
  • Fully remote with regular in-person gatherings in Ankara
  • Birthday Retreat: complimentary half-day off on your birthday
  • Five weeks of paid vacation plus the option for additional unpaid leave

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