Job Identification:
CCI is looking for a Data Engineer who will be a part of our The Enterprise Data and Analytics team is responsible for managing and developing our strategic data assets, empowering all other parties and business partners to further develop consistent organizational knowledge and insights. This means we are responsible for bridging core data &machine learning engineering workloads and robust repeatable analytical solutions. As a Data Engineer you will partner engineering manager, product managers and analysts across our company to ensure data is conducted and delivered in a secure and predictable manner throughout the org. We put data engineering and software development best practice at the core of our product and strive to deliver an intuitive product foundation that analysts and business stakeholders can rely on.
What We Expect:
- To have excellent written and verbal communication skills
- To be able to help program and product managers in the design, planning and governance of implementing projects of any kind
- To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution
- Build and maintain analytics-ready data models and datasets in DataLake,DataHubs (BigQuery,CloudSql)
- Design, develop, and maintain scalable and reliable data pipelines on GCP using tools like BigQuery, Dataflow, Cloud Storage, and Dataproc
- Develop and optimize ETL (Extract, Transform, Load) processes using Airflow to orchestrate data workflows
- Design and implement batch and near‑real‑time data ingestion using Qlik Replicate,Qlik Enterprise Manager (QTC), SAP Data Services to load data into BigQuery & CloudSQL & GCS, BigQuery Data Transfer Service, Pub/Sub, APIs
- Implement data quality checks and monitoring to ensure data accuracy and consistency
- Optimize BigQuery queries and data models and every service for performance and cost-effectiveness (FinOps)
- Ensure data security, access control, and governance standards are applied across platforms
- Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet their needs
- Develop reusable frameworks and standards for ELT/ETL, data ingestion, and analytics architecture
- Contribute to architectural discussions around enterprise data platforms, lakehouse, and analytics patterns
- Automate data infrastructure deployments using Infrastructure-as-Code (IaC) principles
- Stay up-to-date with the latest GCP technologies and best practices
- Troubleshoot production incidents and participate in root cause analysis and continuous improvement in a timely manner
- Participate in code reviews and contribute to the overall improvement of our data engineering practices
- Document data pipeline processes and configurations.
Qualifications:
- Bachelor's Degree/Masters in Computer Engineering/Science.
- 10+ years of experience in developing conceptual, logical and physical data models supporting transactional, operational and analytical based solutions.
- Experience with Stream processing (e.g. Kafka, Kinesis, Pub/Sub, Spark Streaming, Flink)
- Experience with NoSQL databases
- Strong experience with Apache Airflow / Cloud Composer
- Experience with SAP data integration technologies (SAP Data Services, SAP source systems)
- Experience with Qlik Replicate and Qlik Enterprise Manager (QTC) for CDC and data replication
- Passionate about learning new technologies and working on massive scale data with data lakehouses like Redshift, BigQuery, Fabric
- Experience with at least one of SQL databases like MySQL, SQL Server, PostgreSQL, Oracle is required
- Familiarity with serverless architectures
- Experience gathering and analyzing system requirements
- Experience in Cloud Technologies
- Experience in Airflow or Google Cloud Composer
- Experience in GCP and its services Cloud Storage, Cloud Run, Cloud SQL, Cloud Dataflow, Vertex AI, Cloud Scheduler, Cloud Build , Cloud Functions
- Experience with near‑real‑time or streaming data architectures
- Experience with CI/CD, Infrastructure‑as‑Code, and production operations is a strong plus
- Willingness to learn more about new languages and frameworks
- Self-Starter and innovative problem-solving skills
- Good team player, result oriented attitude and analytical mind
Nice to Have;
- Exposure to ML feature stores and model lifecycle management (AIOps-MLOps mindset)
- GenAI data preparation (LLM-ready datasets, embeddings, vector data)
- Data pipelines supporting AI/ML models
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Ablity to leverage AI-assisted development tools to enhance engineering productivity.
What We Embrace:
- “People Centered” Focus
- Equal Salary Advocate
- A Globally Diverse/An International Workplace
- Inclusive Team-Building Activities
- Digital Learning Opportunities
- Leadership Exposure With Organizational Events
- Inclusive Language And Culture
- Social Clubs/Networks
- Inclusive/Family-Friendly Policies
Who We Are
CCI is a multinational beverage company which operates in Türkiye, Pakistan, Kazakhstan, Iraq, Uzbekistan, Bangladesh, Azerbaijan, Kyrgyzstan, Jordan, Tajikistan, Turkmenistan, and Syria. CCI produces, distributes and sells sparkling and still beverages. CCI employs more than 10,000 people, has a total of 33 bottling plants, and 3 fruit processing plants in 12 countries, offering a wide range of beverages to a population base of 600 million people.
Our purpose at CCI is to create value for our employees, customers, consumers, and community. In line with our vision to become the best FMCG company, we put people at the core of everything we do. We achieve successful results with our people who come together as One Team, committing to live by our shared values of passion, integrity, accountability, and teamwork. Our ambition is to become a great place to work, which is inclusive, diverse, and inspiring, with its key organizational and leadership capabilities.
Encouraging a diverse and inclusive organization is core to our commitment at CCI, that's why we nurture it in everything we do. We are proud to become the fourth company to obtain the EQUAL-SALARY global certification and proud to be an Equal Opportunity and Affirmative Action employer, covering in all our countries.
We take responsibility for the future with our Sustainability Commitments for 2030.
Focusing our roadmap on six main areas, including packaging, water, and climate on environmental issues; human rights, diversity & inclusion, and community investments on social issues, we pledged 9 commitments to continuously improve our efforts. To ensure that by the year 2030, 35% of newly hired individuals, 40% of managerial positions, and 50% of executive committee members are comprised of women.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, sex, color, national or social origin, ethnicity, religion, age, pregnancy, disability, sexual orientation, gender expression, or political opinion.
