Data Engineer

Aras Kargo; Fatih; On-site; TRY 300,000 - 450,000; Full time

Benefits offered by this job

Hybrid working model

Birthday leave

Paternity leave

Meal card

Health insurance

Life insurance

Personal accident insurance

English language training

Postgraduate education support

Job summary

Aras Kargo is seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines powering analytics, ML, and Generative AI solutions.

Role covers end-to-end data lifecycle from ingestion to governance, working with data scientists, ML engineers, and business teams.

Qualifications

• Bachelor’s degree in Computer Engineering, Software Engineering, Information Systems, or related field.
• 3–5+ years of experience in data engineering, data platform, or backend data roles.
• Strong proficiency in Python and SQL.
• MongoDB experience is a plus.
• Hands-on experience with data processing frameworks (Spark, Databricks, Flink, or similar).
• Workflow orchestration (Airflow, Prefect, etc.).
• Cloud data services on AWS, Azure, or GCP.
• Relational and NoSQL databases.
• Knowledge of data warehousing, dimensional modeling, and ETL/ELT design.
• Experience with containerization, CI/CD, and infrastructure as code.
• Strong problem-solving, analytical thinking, and collaboration skills.
• Advanced English proficiency.

Responsibilities

• Design and develop robust batch and real-time data pipelines for structured and unstructured data.
• Build and maintain modern data architectures (lakehouse, data warehouse, feature store, vector database).
• Enable AI/ML and LLM workloads by preparing high-quality, reliable, and scalable datasets.
• Implement data modeling, transformation, and orchestration using distributed processing frameworks.
• Develop data services and APIs to support analytics, applications, and AI agents.
• Ensure data quality, lineage, observability, and governance across the platform.
• Deploy and operate data infrastructure on AWS, Azure, or GCP using CI/CD, Docker, and Kubernetes.
• Optimize performance, scalability, reliability, and cost efficiency of data systems.
• Collaborate with stakeholders to translate business needs into scalable data solutions.
• Ensure compliance with security, privacy, and regulatory standards (GDPR, KVKK).

Skills

Python

SQL

MongoDB

Spark/Databricks/Flink

Airflow/Prefect

Cloud data services

Databases (Relational/NoSQL)

ETL/ELT design

Docker/Kubernetes

CI/CD / IaC

English (Advanced)

Education

Bachelor’s degree in Computer/Software Engineering or Information Systems

MSc preferred

Tools

MongoDB

Spark

Databricks

Flink

Airflow

Prefect

AWS

Azure

GCP

Docker

Kubernetes

Job description

Our journey, which began in 1979, has grown into a strong logistics network that delivers more than 1 million shipments daily across Türkiye, with 13 Regional Directorates, 28 Transfer Centers, nearly 1,000 branches, a fleet of 3,000 vehicles, and a team of 14,000 employees.As a subsidiary of Austrian Post Group, we continue our operations with international strength while investing in technology and innovation through Aras Digital, expanding beyond borders through Aras Global, and supporting the unifying power of sports through our Aras Kargo Women's Volleyball Team.

With our renewed identity, experience, and energy, we are setting our course toward the future. If you would like to grow, develop, and take a strong step forward in your career on this journey with us, we would be delighted to welcome you to our team.

We are seeking a Data Engineer to design, build, and maintain scalable data platforms and pipelines that power advanced analytics, machine learning, and Generative/Agentic AI solutions.

This role spans the end-to-end data lifecycle—from ingestion and transformation to governance, reliability, and performance—while working closely with data scientists, ML engineers, and business teams.

Key Responsibilities:

• Design and develop robust batch and real-time data pipelines for structured and unstructured data.
• Build and maintain modern data architectures (lakehouse, data warehouse, feature store, vector database).
• Enable AI/ML and LLM workloads by preparing high-quality, reliable, and scalable datasets.
• Implement data modeling, transformation, and orchestration using distributed processing frameworks.
• Develop data services and APIs to support analytics, applications, and AI agents.
• Ensure data quality, lineage, observability, and governance across the platform.
• Deploy and operate data infrastructure on AWS, Azure, or GCP using CI/CD, Docker, and Kubernetes.
• Optimize performance, scalability, reliability, and cost efficiency of data systems.
• Collaborate with stakeholders to translate business needs into scalable data solutions.
• Ensure compliance with security, privacy, and regulatory standards (e.g., GDPR, KVKK).

Required Qualifications:

• Bachelor’s degree in Computer Engineering, Software Engineering, Information Systems, or related field (MSc preferred).
• 3–5+ years of experience in data engineering, data platform, or backend data roles.
• Strong proficiency in Python and SQL.
• MongoDB experience is a plus.
• Hands-on experience with:
• Data processing frameworks (Spark, Databricks, Flink, or similar)
• Workflow orchestration (Airflow, Prefect, etc.)
• Cloud data services on AWS, Azure, or GCP
• Relational and NoSQL databases
• Knowledge of data warehousing, dimensional modeling, and ETL/ELT design.
• Experience with containerization, CI/CD, and infrastructure as code.
• Strong problem-solving, analytical thinking, and collaboration skills.
• Advanced English proficiency.

Preferred:

• Advanced degree in a quantitative or engineering discipline.
• Experience supporting ML, MLOps, LLM, or RAG pipelines.
• Familiarity with streaming systems (Kafka, Kinesis, Pub/Sub).
• Knowledge of data governance, cataloging, and observability tools.

What Awaits You at Aras?

With our values of “We Are Aras: Purpose, Performance, and Joy,” we focus on people, society, and creating together. We offer an inclusive culture that supports the well‑being, development, and work-life balance of our employees in every aspect. In this work experience, where you will feel valued and ready for the future:

• You become part of a flexible and balanced working experience (benefits such as a hybrid working model for office employees, flexible working hours, early finish on Fridays, and taxi transportation for Headquarters employees).
• You can create time for the special moments in your life (practices such as birthday leave and 30 days of paternity leave).
• You benefit from comprehensive fringe benefits that support your well-being and safety (the Meditopia app, meal card, supplementary health insurance, life insurance, and personal accident insurance).
• You can strengthen your competencies through continuous learning and development opportunities (technical and behavioral online training through Aras AkademiGO, leadership and talent programs, English language training, and postgraduate education support).
• You become part of a strong team culture that focuses on collaboration, recognition, and inclusiveness, while taking ownership and responsibility.

Aras Kargo is an equal opportunity employer. We value diversity and are committed to creating an inclusive working environment for all employees. All qualified applicants are encouraged to apply regardless of gender, age, disability, or background.

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