At Miare, we are seeking an experienced and highly skilled Data Platform Engineer to design, build, and operate a governed, self-service data platform. The platform will empower every team to create and document their own analytics while maintaining a single source of truth for company-wide metrics.
In this role, you will own ingestion, transformation, testing, and documentation automation—while enabling domain teams to safely extend the platform. If you are passionate about building robust, scalable data infrastructure and thrive in a high-autonomy environment, this role is for you.
Key Responsibilities:
Design, implement, and operate ingestion pipelines from operational databases and APIs into ClickHouse (raw → staging → core).
Deploy and operate Airflow from day one to orchestrate ingestion, dbt runs, tests, and documentation publishing.
Build and maintain dbt models (core and staging) with tests, documentation, and ownership metadata.
Implement version control and CI/CD for transformations using GitLab CI + dbt.
Ensure data quality and observability with dbt tests, freshness checks, and row count monitoring.
Automate documentation generation and publishing after every change.
Collaborate directly with product, operations, and analytics teams to align KPI definitions and SLAs.
(Future phases) Integrate Airbyte/PeerDB, Airflow/Prefect, or Kafka for scaling needs.
Task Complexity:
This role requires designing and operating data infrastructure in a lean, high-autonomy environment. You must balance governance with speed, ensuring data quality and documentation while enabling rapid scaling. Success demands a product-engineering mindset, combining strong technical expertise with the ability to empower other teams for self-service analytics.
Requirements:
3+ years of experience building and running data platforms (beyond BI SQL reporting).
Proficient in SQL and Python, with strong code quality and version control discipline.
Hands-on experience running dbt in production, including tests and documentation.
Proven experience deploying and managing Airflow DAGs for ingestion and transformation.
Understanding of columnar OLAP engines (ClickHouse, BigQuery, Snowflake, etc.).
Knowledge of idempotent design, partition swaps, and incremental model patterns.
Strong focus on governance, performance, and reliability.
Ability to work independently and think like a product engineer.
Skills:
Data pipeline design and orchestration.
Production-level dbt and Airflow expertise.
CI/CD, version control, and automated testing for data workflows.
«میاره» یک استارتاپ فعال در حوزه دلیوری شهری است. ما به کسبوکارهای محلی کمک میکنیم سفارشهایشان را سریع، دقیق و قابلاعتماد ارسال کنند؛ و از طرف دیگر، شرایطی فراهم میکنیم که سفیرها بتوانند کار منظم و درآمد پایداری داشته باشند.
در «میاره» کنار یک تیم منسجم و پرانرژی کار میکنی، یاد میگیری، تجربهات را به اشتراک میگذاری و در حل چالشهای واقعی نقش داری. ما فضایی ساختیم که افراد مشتاقِ رشد بتوانند اثرگذار باشند و مسیر حرفهایشان را جلو ببرند.
اگر به کار تیمی، یادگیری مستمر و محیطهای پویا علاقه داری، جای تو در میاره خالی است.