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At Paribu, every team member plays a crucial role in driving innovation and delivering high-quality solutions. As a Senior Data Engineer role, you will be responsible for designing and implementing scalable data architectures, building data pipelines, and collaborating with teams to deliver data-driven solutions.
Job Responsibility:
Designing and implementing scalable, sustainable, and high-performance data architectures
Building and operating batch and real-time data pipelines using distributed systems such as Apache Spark and Kafka
Developing and maintaining end-to-end data workflows, ensuring data quality, consistency, and reliability
Orchestrating and automating data processes using tools such as Airflow, dbt, or similar platforms
Designing and managing efficient data models to support analytics and downstream use cases
Working with cloud-based data platforms (e.g., BigQuery, Redshift, Snowflake) to enable scalable data processing
Collaborating closely with Data, AI, Product, and Engineering teams to deliver data-driven solutions aligned with business needs
Embedding AI-driven approaches into data workflows, including automation, intelligent validation, and pipeline optimization
Optimizing system performance across storage, compute, and query layers
Contributing to the continuous evolution of our modern data platform and infrastructure
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
Proven experience in data architecture and data modeling, with the ability to design scalable and maintainable systems
Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Kafka, Hadoop or similar)
Strong programming skills in Python and SQL
Experience working with cloud platforms (AWS, GCP, Azure) and modern data warehouses (BigQuery, Redshift, Snowflake, etc.)
Solid understanding of data pipeline design, orchestration, and performance optimization
Experience with workflow orchestration tools such as Airflow, dbt, or similar
Strong verbal and written communication skills
Interest in or experience with integrating AI/ML-driven approaches into data systems and workflows
What we offer:
Meal allowance – Generous support with a flexible meal card
Private health insurance – Comprehensive coverage for employees, including spouses and children
Commuting support – Financial support for commuting based on your office route
S.O.S. leave (10 days) – Additional leave days up to 10 days per year for urgent and unexpected matters, apart from annual leave
Birthday leave – One extra day off during your birthday month
Language learning support – Resources to enhance English communication skills
Personal development support – Budget for exploring hobbies, attending professional courses, and personal growth
Well-being & health platform – Access to digital health and wellness services, including mental health support, and well-being resources
Relocation allowance – Financial support for relocation within a 15-km radius of the Paribu’s office
Top-tier work equipment – High-performance devices and all the essential tools you need to do your best work
Cultural events – Enjoy concerts, theater, cinema, and sports tickets through company-sponsored raffles