Software Engineer, Data Analytics

Midas

Software Engineer, Data Analytics managing data models and pipelines at Midas. Collaborating with data teams to ensure data accuracy and support decision making for over 4 million users.

Posted 6/22/2026full-timeIstanbul • 🇹🇷 TurkeyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowPythonSQL

About the role

Key responsibilities & impact

Own decision models and data pipelines for Midas products
Ensure data accuracy and reliability for data-driven decisions
Collaborate with data scientists to manage data pipelines
Document data engineering processes and models for clarity
Design and implement data-driven solutions to business problems

Requirements

What you’ll need

3+ years of experience in data engineering
Proficiency in SQL, Python, and tools like Airflow
Strong understanding of data modeling and causal inference
Experience with building data pipelines and integrations
Ability to write clean, version-controlled code
Familiarity with monitoring and debugging systems

Benefits

Comp & perks

Curious about our tech stack?
Also check out our engineering blog: https://engineering.getmidas.com/
Midas Engineering Twitter: https://twitter.com/midas_eng

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringSQLPythondata modelingcausal inferencedata pipelinesintegrationsversion-controlled codemonitoring systemsdebugging systems

Soft Skills

collaborationdocumentationproblem-solving