Middle Data Engineer

We are Raiffeisen Bank Ukraine, the Ukrainian bank. For 30 years we have been creating and building the banking system of our country. We were and are one of the largest banks in Ukraine and a reliable partner for millions of Ukrainians.

We achieve high-speed digital products. We implement modern engineering practices, work on innovations that build high-quality interaction with our customers.

Raiffeisen Bank operates as a universal bank offering a wide range of financial services to different customer segments: retail and corporate customers, small and medium-sized enterprises and financial institutions.

Our priority is to provide the best quality of service. We strive to strengthen our competitive advantages by innovating, identifying and exploiting new opportunities. We are guided by values that provide a clear framework for our actions. More than 5,000 employees and nearly 3 million customers are the focus. #RaifTeam integrates the principles of diversity, equality and inclusion into the way we work. Combining the principles of people-centredness and innovation at work is our way.

Become part of the #RaifTeam — people who are with us in the movement of innovation.

About the project:

You will be part of our product team. Team is responsible for building data marts, creating jsons based on them and sending them via Kafka. New Data Platform built in AWS.

We are looking for motivated and result-oriented data engineer, who can join our team in development of Data Products in our new Data Platform.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 2-3 years of relevant experience in data engineering or a related role.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Maintain optimal data pipeline architecture

Python (PySpark):

• Proficiency in Python programming.

• Experience with PySpark for big data processing.

SQL:

• Strong SQL querying skills.

• Experience with database design and optimization

Big Data:

• Hands-on experience with big data technologies (e.g., Hadoop, Spark).

• Understanding of distributed computing principles.

• Building and optimizing ‘big data’ data pipelines, architectures and data sets.

Apache Iceberg:

• Experience with Apache Iceberg for managing large-scale tabular data.

• Proficiency in using Iceberg for data versioning, partitioning, and schema evolution.

Data Formats (Avro, JSON):

• Proficiency in working with Avro, JSON data formats.

• Experience in parsing, transforming, and storing data in these formats within big data environments.

AWS:

• Proficiency in AWS Lambda, Glue,Athena and S3.

• Experience with AWS data services and infrastructure management.

Apache Kafka:

• Experience with Kafka architecture, setup, and maintenance.

• Proficiency in stream processing and integrating Kafka with other data systems.

Communication:

• Ability to speak with Data Analysts to understand requirements

• Open and team-minded personality and communication skills

• Willingness to work in an agile environment

Benefits

International business career: work in a large international company that creates a diverse and inclusive environment for professional and personal growth. Strong Raiffeisen community of highly professional and successful teams from different countries

Challenging WOW-projects: involvement into large-scale projects on product development, using modern engineering technologies, unique approach to encouraging customer-driven innovation

Comfortable and safe format of work: flexible work conditions including remote work or hybrid models alternating between in-office hours and remote work. Offices with uninterruptible power supply and bomb shelters are provided to perform duties

Professional development: knowledge sharing with colleagues from abroad, development within the company, upskilling and reskilling opportunities, internal competitions. The possibility of obtaining a T-shaped expertise. Internal and external training programs. Corporate English courses. Soft skills trainings at our corporate L&D academy. Team building activities and involvement into social projects

Attractive social package and wellbeing: 28 days of paid vacation, medical insurance, official employment. Mental and Physical health support: individual psychological sessions and lectures, -free online workouts, yoga

Stable income: competitive salary and bonuses for your efforts and contribution, rewards for participation in the referral program

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