Our client is one of Turkey’s leading investment apps and a licensed brokerage. More than 3.5 million people use it to invest in stocks, options, funds and crypto across Turkish, US and European markets. Behind that sits a lot of data: operational databases, Kafka streams and clickstream from millions of users, all landing in one analytical store in near real time.

The company has raised over $140M, including an $80M Series B led by a top-tier US fintech investor, the largest fintech round in Turkey to date. It is headquartered in Istanbul.

The role The data platform team doesn’t touch business logic. It builds the platform and tools every other team uses for analytics. Today that runs on AWS and Redshift. Next, the company is building an open lakehouse that runs on any compute and object store, in the cloud or on its own hardware, with governance and security there from day one. You’ll own that build, working directly with the head of data engineering.

This role suits a Turkish-speaking engineer who knows how lakehouse systems work under the hood, not someone whose experience is mostly using Databricks or Snowflake.

What you’ll be doing

Build a secure, multi-tenant data platform with workload isolation, access control and governance, for both batch and real-time use

Keep the warehouse, storage and processing infrastructure above 99% uptime

Put full observability in place (monitoring,



alerting and logging), so the same incident never happens twice

Enforce platform-wide access controls, audit logging, masking of sensitive data and secure defaults

Cut the manual work of the company’s data teams through automation, standards and self-service tooling

What you’ll need

Real experience building systems with Iceberg, Delta Lake or similar, and analytical engines like Trino, Spark or Doris

A deep grasp of the trade-offs between transactional, analytical and streaming processing, including row- and column-based storage

Batch and streaming pipelines that are observable, resilient and efficient

Confidence in Kubernetes-native environments and cloud data stacks

Clean, maintainable code, and fluency with Git and CI/CD

Fluent Turkish and English

Nice to have: time at a company that builds data platforms (Snowflake, Databricks, Starburst, AWS, Google Cloud), real-time analytics with Flink and Kafka, on-prem or hybrid experience, a regulated industry, or knowing how AI agents work with data

The company wants humble, hard-working owners. If “that’s not my job” sounds like something you’d say, this isn’t the role for you.

Location & logistics Remote from anywhere in or near European time zones, with regular visits to the Istanbul office.

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📌 Senior / Staff Data Platform Engineer, (Madrid)
🏢 edenity.
📍 Madrid