Data Engineer

If you want to be a part of the Tüpraş family, let's get to know each other better.

Who We Are?

Tüpraş is Türkiye’s leading energy producer and largest industrial company. With its four refineries located in İzmit, İzmir, Kırıkkale and Batman totalling to 30 million tons of annual crude oil processing capacity, Tüpraş is the 7th largest refining company in Europe. It is also one of the most complex refining companies in the Mediterranean basin. In addition to refining, Tüpraş operates with its subsidiaries, (OPET) focusing on fuel retail, (Ditaş Denizcilik) marine transportation, (Körfez Ulaştırma) railway transportation (Tüpraş Trading Ltd) crude oil and oil products trading and (Entek Elektrik) electricity generation.

In 2021 The company launched its Strategic Transition Plan alongside its goal to become Carbon Neutral by 2050. In 2022, Tüpraş established its corporate venture capital arm, Tüpraş Ventures to invest in, partner with and support technology startups in its strategic focus areas, as well as energy transition solutions. (For further information on Tüpraş Strategic Transition Plan and focus business areas: Strategy - Tüpraş (tupras.com.tr)

Location

Our Data Analytics Centers located at ODTÜ Teknokent and ITU ARI Teknokent provide the opportunity to work on real datasets in artificial intelligence, machine learning, optimization, and generative/agentic AI projects.

What You’ll Do?

Our data engineers play a key role in the journey of transforming raw data into value‐creating insights. Core responsibilities include:

• Data Architecture & Infrastructure: Designing, managing, and optimizing big data technologies to ensure the operational continuity of analytical projects.
• Pipeline Management: Integrating data from various sources using modern ETL/ELT processes and ensuring high‐quality data flow for analytical platforms.
• Continuous Improvement: Modernizing existing systems with an excellence-driven approach; monitoring performance indicators to detect bottlenecks and implementing proactive solutions.
• Ecosystem Support: Providing the technical support and training needed to help users effectively leverage data technologies.

What We Look For?

We are looking for a technology‐enthusiastic, solution‐oriented profile with a focus on continuous development:

• Technical Foundation: Proficiency in Python, Linux, and SQL
• Data Technologies: Knowledge/experience with tools such as Data Lake (Dremio) and low‐code analytics platforms (Dataiku)
• Modern Toolset: Awareness or hands-on experience with technologies such as Apache Airflow, Docker, and Kubernetes
• Reporting: Ability to develop data models suitable for reporting based on business unit needs
• Vision: Following data engineering trends and being eager to develop technological solutions for industrial problems
• Personal Competencies: Strong analytical thinking, enjoyment of teamwork, and high personal motivation
• Travel Flexibility: Ability to participate in strategic workshops and meetings held at our refineries located in four cities (Kocaeli, İzmir, Kırıkkale, Batman) and at the Istanbul Headquarters
• Language: Good level of English sufficient for reading technical literature and communicating with global teams
• Minimum 2 years of experience in data science.

What’s In It For You?

• Trainings for technical and behavioral development under the leadership of Tüpraş Academy,
• Koç Academy training and development programs,
• Opportunity for rotation within Tüpraş and other Koç Group companies,
• Koç Ailem: Opportunity to benefit from a special privilege platform for Koç employees,
• Opportunities to take part in future-oriented work such as initiatives and innovation projects developed with agile approaches,
• Employee experience practices that focus on continuous improvement.

How will you be notified about the progress of the application process?

We will notify you by email at the end of each step. Therefore, we kindly ask you to actively check the mailbox (including junk/spam/junk folders) of the e-mail address you applied to.

*The only criterion evaluated in recruitment and employment is suitability for the job; equal opportunity is provided without any discrimination.