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Senior Data Engineer

Remotely

Italia

Remoto

EUR 40.000 - 60.000

Tempo pieno

Oggi
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Descrizione del lavoro

A leading tech company in Italy is seeking a Data Engineer to build and maintain data pipelines using Apache Airflow and Snowflake. The ideal candidate has a strong proficiency in Python and advanced SQL skills, with the ability to work independently in a collaborative environment. This position offers a flexible working schedule and opportunities for professional development.

Servizi

Flexible working schedule
Free English classes
People-oriented management

Competenze

  • Strong proficiency in Python.
  • Experience with Apache Airflow and Snowflake.
  • Ability to work independently as a sole data engineer.

Mansioni

  • Build and maintain data pipelines and ETL workflows.
  • Optimize SQL and ensure data quality.
  • Collaborate with teams to deliver data solutions.

Conoscenze

Python
Apache Airflow
Snowflake
Advanced SQL
English (B2+)
Communication Skills

Strumenti

Apache Airflow
Snowflake
Descrizione del lavoro
About MWDN

MWDN connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We aim to ensure our employees enjoy a rewarding and secure experience while collaborating with prestigious international clients.

What to Expect

Here’s what you can expect when you get employed by MWDN:

  • Security first. We vet our clients to eliminate risks, ensuring reliability and timely payments for your hard work—no fraud or unforeseen events here!
  • Career support. If a match isn't right, we're here for you. We actively assist our employees in finding new opportunities that fit their skills and aspirations.
  • Legal assistance. We provide guidance on legal matters (e.g., opening and administering your private entrepreneur account, taxes, etc.).
  • Professional development. We offer English courses and other engaging activities, including team-building events.

Why choose us? MWDN is ranked among the top 5 IT employers in our region by DOU, and we pride ourselves on our transparency and commitment to our team. Curious to learn more? Discover what our employees say about us in their DOU reviews: MWDN reviews.

Position Focus

Our project focuses on data infrastructure and analytics capabilities. We’re building robust, scalable data pipelines in Airflow and Snowflake to process alternative and financial data efficiently, enabling faster and deeper quantitative insights for institutional investors.

It’s an opportunity to work at the intersection of data engineering and quantitative finance, shaping a system that directly impacts real-world investment decisions. The role offers both technical ownership and collaboration across global teams - combining cutting-edge technology with meaningful business outcomes.

Responsibilities
  • Build and maintain data pipelines and ETL workflows with Airflow and Snowflake.
  • Optimize SQL and ensure data quality and reliability.
  • Collaborate with leadership, DevOps, research, and support teams to deliver data solutions.
  • Act as the sole data engineer, owning the full data lifecycle.
Qualifications
  • Strong proficiency in Python
  • Hands‑on experience with Apache Airflow
  • Solid expertise in Snowflake and advanced SQL
  • Proven ability to work independently as the sole data engineer, while effectively collaborating with leadership, DevOps, research, and customer support teams
  • Previous experience in a startup or small company environment
  • B2+ English level with strong written and verbal communication skills
  • Proactive and responsive communicator, available and engaged on Slack during work hours
Nice to Have
  • Experience with Managed Workflows for Apache Airflow (MWAA)
  • Background in the Financial Markets domain
Benefits
  • People‑oriented management without bureaucracy
  • The friendly climate inside the company is confirmed by the frequent comeback of previous employees
  • Flexible working schedule
  • Free English classes with native speakers
  • Dedicated HR
Next Steps

✅ Intro call with a Recruiter — ✅ Client interview — ✅ Offer

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