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Data Engineer

Cluj-Napoca, Târgu Mureș

Pay
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Work setup
Unconfirmed
Employment
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Apply at Principal33 S.R.L.

Tools in this posting

  • Python
  • SQL
  • AWS
  • dbt
  • DuckDB
  • S3
  • Airflow
  • Fastapi
Source — Tool mentions in context
- Collaborating with Product, Engineering, and Data Science teams Tech stack - Languages & Frameworks: Python is our core for pipelines, APIs, and CLI tooling. We use FastAPI and Pydantic to serve typed, high-performance REST APIs to our platform. - Data Transformation & Modeling: We use dbt for our SQL-based transformation layer and SQLModel with Alembic for ORM-based schema management and versioned migrations.
- End-to-End Architecture & Business Ownership: Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms with minimal strategic guidance, deeply aligning technical solutions with business domains and use cases. - Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers. - Data Quality & Engineering Standards: Establish and enforce global data engineering standards, implementing shift-left data quality frameworks, validation, and proactive alerting at scale.
- Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization) - Advanced Python for services/pipelines (not notebook-only analytics) - Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews.
Tech stack - Languages & Frameworks: Python is our core for pipelines, APIs, and CLI tooling. We use FastAPI and Pydantic to serve typed, high-performance REST APIs to our platform. - Data Transformation & Modeling: We use dbt for our SQL-based transformation layer and SQLModel with Alembic for ORM-based schema management and versioned migrations. - Storage & Analytics: We utilize DuckDB and DuckLake as our embedded analytics engine, all hosted on a robust AWS infrastructure (S3, IAM).
- Hands-on builders with: - Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization) - Advanced Python for services/pipelines (not notebook-only analytics)
- Data Transformation & Modeling: We use dbt for our SQL-based transformation layer and SQLModel with Alembic for ORM-based schema management and versioned migrations. - Storage & Analytics: We utilize DuckDB and DuckLake as our embedded analytics engine, all hosted on a robust AWS infrastructure (S3, IAM). - Orchestration & Workflow: Apache Airflow handles our complex event-driven and scheduled job flows.
- Storage & Analytics: We utilize DuckDB and DuckLake as our embedded analytics engine, all hosted on a robust AWS infrastructure (S3, IAM). - Orchestration & Workflow: Apache Airflow handles our complex event-driven and scheduled job flows. - Quality & Engineering Excellence: We prioritize reliability through pytest for QA validations, GitHub for version control, and a rigorous PR-based code review process.

Benefits in the posting

Full benefits wording
  • Medical insurance: Your health, and your family's, is our top priority. You're fully covered.
  • Email address

From the employer’s posting.

Job description

View original posting ↗

Your mission

Are you ready to take part in the AI revolution in business? If yes, we have an exciting opportunity for you.
 
We are looking for a Data Engineer passionate about building scalable, reliable data infrastructure that powers AI. You will help make data accessible, trustworthy, and ready for machine learning forming the foundation of Aily’s decision intelligence platform.
About the team
Our Data team owns the full data lifecycle—from ingestion and transformation to quality and delivery. We build scalable pipelines and APIs that power insights across domains like Finance, R&D, and Go-to-Market.
What you’ll work on

  • Designing and maintaining scalable, multi-tenant data pipelines
  • Ensuring data quality, reliability, and governance
  • Collaborating with Product, Engineering, and Data Science teams
Tech stack
  • Languages & Frameworks: Python is our core for pipelines, APIs, and CLI tooling. We use FastAPI and Pydantic to serve typed, high-performance REST APIs to our platform.
  • Data Transformation & Modeling: We use dbt for our SQL-based transformation layer and SQLModel with Alembic for ORM-based schema management and versioned migrations.
  • Storage & Analytics: We utilize DuckDB and DuckLake as our embedded analytics engine, all hosted on a robust AWS infrastructure (S3, IAM).
  • Orchestration & Workflow: Apache Airflow handles our complex event-driven and scheduled job flows.
  • Quality & Engineering Excellence: We prioritize reliability through pytest for QA validations, GitHub for version control, and a rigorous PR-based code review process.


Your profile

Core responsibilities

  • End-to-End Architecture & Business Ownership: Lead the design, implementation, and long-term ownership of complex, multi-tenant data platforms with minimal strategic guidance, deeply aligning technical solutions with business domains and use cases.

  • Core Development & Tooling: Build robust data components, utilizing advanced Python for APIs/orchestration and expert SQL for dbt-based transformation and normalization layers.

  • Data Quality & Engineering Standards: Establish and enforce global data engineering standards, implementing shift-left data quality frameworks, validation, and proactive alerting at scale.

  • Infrastructure Optimization: Drive continuous improvements in data infrastructure, modeling, and tooling to optimize performance, control costs, and reduce operational burden.

  • Mentorship & Craft Excellence: Champion engineering excellence across the chapter, mentoring junior team members and defining best practices for tooling and data craft.

Who we’re looking for

  • Data Engineers / Data Analysts with 4 to 6 years of experience who excel at building reliable, scalable data models and pipelines that power AI decision-making at enterprise scale.

  • Hands-on builders with:

    • Expert SQL skills (architecting advanced incremental patterns, complex modeling, and query optimization)

    • Advanced Python for services/pipelines (not notebook-only analytics)

    • Deep familiarity with production-grade engineering practices, including rigorous CI/CD pipelines, test-driven development (pytest), and leading technical code reviews.

    • A strong business-domain mindset—the ability to act as a translator between complex business data needs and highly efficient data architectures.

  • Strong collaborators who partner with Data Practitioners, Data Scientists, Software/ML Engineers, Product teams, and business stakeholders to turn raw data into actionable customer insights.

  • Startup mindset: thrives in ambiguity, proactively solves complex data challenges, and improves tooling beyond your immediate scope.


What we offer

Benefits

  • Medical insurance: Your health, and your family's, is our top priority. You're fully covered.
  • Holiday flat in Valencia: Dreaming of sunny days in Spain? Our company flat is ready for your next getaway.
  • Gifts for special occasions: We love celebrating you. Expect thoughtful surprises on Easter, Women's Day, Father's Day, and more.
  • Anniversary gifts: Your 1st, 5th, and 10th work anniversaries are milestones worth celebrating, and we mark each of them with a special gift.
  • Team-building events: We value connection beyond work, offering engaging team experiences in great locations to inspire collaboration and fun.
  • End of year celebrations: We wrap up each year with a special celebration, filled with joy, laughter, and unforgettable moments.
  • Day off on your birthday: Your special day is yours to enjoy, no work required.
  • Community and social initiatives: We bring people together through activities like Bring Your Kids to the Office Day, donation drives, tree planting, sporting events, decorating the Christmas tree with your colleagues, celebrating new office openings, Principal33's anniversary, and more.
  • Access to Udemy: Growth matters, so you get unlimited access to thousands of courses. Develop your skills anytime, anywhere.
  • German language courses: Dedicated courses to help you build your German skills, supporting both personal and professional growth.
  • Personal and professional growth: We support your development through masterclasses with experienced trainers, and we're open to investing in courses and training that help you grow.


Email address

Your next step

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Location & working pattern

Cluj-Napoca, Târgu Mureș

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Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
48
Last seen by us
Sep 30, 2026

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