Data Engineer

DFDS; Ataşehir; On-site; TRY 1,000,000 - 1,800,000; Full time

Job summary

DFDS Istanbul is seeking a Data Engineer to join a diverse Data Engineering chapter. You will build and maintain data pipelines, ensure data quality, and collaborate with analysts, data scientists, and platform engineers to enable reliable analytics.

The role requires strong SQL, Python, dbt/Airflow experience, and hands-on data modelling in Snowflake. You’ll work on modern cloud tools (AWS, S3) and contribute to our evolving data platform.

Qualifications

• Experience with data engineering tools such as dbt, Airflow, or similar.
• Familiarity with cloud data platforms and technologies such as Snowflake and AWS.
• Solid understanding of SQL and data modelling principles.
• Experience working with Python in a data engineering context.
• A good understanding of Power BI semantic models and the reporting/data-model layer.
• Knowledge of containerization, Kubernetes, and CI/CD practices; hands-on experience is preferred.
• A willingness to learn, share knowledge, and contribute to engineering best practices.
• A collaborative mindset and strong communication skills.
• A willingness to take ownership of data pipelines and integrations from requirements gathering through to production.

Responsibilities

• Develop and maintain robust data pipelines using Airflow and dbt.
• Develop and maintain data integrations, including ingestion from REST APIs.
• Design and optimize data models in Snowflake for analytics and reporting.
• Collaborate with cross-functional teams to understand data needs and deliver solutions.
• Ensure data quality, reliability, and performance across systems.
• Contribute to the evolution of our data platform and engineering best practices.
• Participate in code reviews and knowledge sharing within the chapter.
• Support the onboarding of new tools and technologies as we scale.

Skills

dbt

Airflow

Snowflake

Python

Power BI

SQL

Data modelling

Kubernetes

CI/CD

Cross-functional collaboration

Tools

dbt

Airflow

Snowflake

AWS

S3

Job description

DFDS is looking for a Data Engineer to join our Istanbul Data Engineering team, which is part of a diverse and dynamic Data Engineering chapter of 14 experienced colleagues from a range of backgrounds and nationalities, working across three different locations.

Be part of the movement – and play your part.

In This Role, You Will

As a Data Engineer at DFDS, you'll be part of a dynamic and collaborative team that builds and maintains the data infrastructure powering decision-making across the company. You will work closely with other data engineers, analysts, data scientists, platform engineers, and business stakeholders to ensure that data is accessible, reliable, and actionable.

You will work with a modern tech stack including dbt, Airflow, Snowflake, and AWS components such as S3.

Key Responsibilities

• Develop and maintain robust data pipelines using Airflow and dbt
• Develop and maintain data integrations, including ingestion from REST APIs
• Design and optimize data models in Snowflake for analytics and reporting
• Collaborate with cross-functional teams to understand data needs and deliver solutions
• Ensure data quality, reliability, and performance across systems
• Contribute to the evolution of our data platform and engineering best practices
• Participate in code reviews and knowledge sharing within the chapter
• Support the onboarding of new tools and technologies as we scale

What We’re Looking For

We think the strongest teams are built on diversity and inclusivity. Contrasting opinions, varied skills and strong characters bring out the best in us all. With this in mind, we think that you are curious, proactive, and eager to grow. You enjoy solving complex problems and working with data to create value. You're not afraid to ask questions and challenge the status quo, and you're excited about the opportunity to grow and take on more responsibility.

Qualifications

• Experience with data engineering tools such as dbt, Airflow, or similar
• Familiarity with cloud data platforms and technologies such as Snowflake and AWS
• Solid understanding of SQL and data modelling principles
• Experience working with Python in a data engineering context
• A good understanding of Power BI semantic models and the reporting/data-model layer
• Knowledge of containerization, Kubernetes, and CI/CD practices; hands-on experience is preferred
• A willingness to learn, share knowledge, and contribute to engineering best practices
• A collaborative mindset and strong communication skills
• A willingness to take ownership of data pipelines and integrations from requirements gathering through to production

Working at DFDS

Join the movement and grow with us. While you’re with us, we want you to develop. At DFDS, we believe that development happens first and foremost through activities in the workplace. We will also offer training courses that can support you in your role, if needed.

We look forward to hearing from you.