Data Engineer
Summary
Data Engineer at Teknasyon (Turkey) who designs, scales, and operates Kafka-to-BigQuery ingestion pipelines, builds SQL/dbt data models across staging/mart layers, sets up data quality monitoring on GCP, and enables self-service BI for product teams.
Teknasyon: The Venture OS is a universe of studios, each with its own orbit, its own speed, and its own ambition. It keeps creating, powers itself, and gets bigger.
Getcontact, eSIM io, Call.io, Telicall, Moyra, Shorten, Slowrush, Rockads, and Zotlo build apps and SaaS platforms for the world, run by people who still work like it's day one.
And it keeps growing. We back bold founders, bring their ideas in, and give them everything it takes to become a studio of their own. Some start with us from day one, others join later. All of them get the same thing: room to move fast, and a universe behind them.
Shared know-how, global ambition. That's how the right ideas scale into global tech companies. Hundreds of products and nearly 5 billion downloads in thirteen years. But the part that matters most is the part you'll never download: the people, the culture, and the years behind it.
This is where "MORE." begins. Join us!
WHAT YOU'LL BE DOING
Data Ingestion and Pipeline Operations
- Design, scale and operate Kafka BigQuery ingestion pipelines
- Monitor existing pipelines and step in when failures occur
- Add and develop new data sources and connectors
- Build and improve SQL pipelines
Data Modeling and Transformation
- Take an active role in data modeling and transformation across the raw staging mart layers, in both stage and prod environments
Data Quality and Observability
- Develop data quality tests and set up monitoring and alerting systems
Cost Management
- Monitor and optimize GCP and other costs
Infrastructure
- Take an active role in infrastructure setup and decisions, and build improvements as needs arise
Self-Service BI and Metric Standards
- Provide standards, documentation and training so product teams can do self-service BI
- Work with analysts and data scientists to standardize metric definitions
- Prepare documentation and training for product teams
WHAT WE'RE LOOKING FOR
- 4+ years of data engineering experience
- Production experience with GCP/BigQuery
- Hands-on experience with Kafka and streaming architectures
- Advanced SQL, SQLX and Python skills
- Experience with Airflow/Composer and/or dbt
- Experience with dimensional modeling and event data modeling
- Hands-on with data quality and observability practices
WHY YOU'LL LOVE WORKING HERE
Grow fast
Build products that reach millions. Explore Marketing, Product, and People Experience, learn from top mentors, and own your work in a startup-minded culture.
- Unlimited private health insurance for you and your family
- Multisport card
- massage chairs and gaming zones
- daily open buffet breakfast, coffee, fresh juice and snacks
Enjoy the extras
- Netflix, Spotify & YouTube
- annual app store credit
- Cambly language support
- commute & meal allowance
- welcome package
- brand discounts
- referral bonuses.
Belong here
- One of Europe's & Turkey's top Great Place to Work certified companies
- hybrid flexibility
- above-industry paid leave
- social clubs, team events, and the Volunteers Club.