Senior Data Engineer

Senior Data Engineer

OTP Bank’s digital transformation journey leverages the power of Cloud to drive innovation, enhance operational efficiency, and deliver exceptional digital banking experiences. By adopting scalable, secure, and intelligent cloud solutions, we aim to transform our IT infrastructure, enable seamless data-driven decision-making, and foster agility in responding to evolving customer needs. 
Job Description
As a Senior Data Engineer, you will design, build, and manage data pipelines that support data-driven decision making and machine learning across various products and services. You will have the opportunity to be part of OTP Cloud Journey and shape the future of banking. 
You will collaborate with stakeholders to understand data requirements, model data flows, transform raw data, ensure data quality, and comply with data governance standards. You will use your skills and experience in software engineering, cloud data engineering, data platforms, and data visualization to deliver scalable and reliable data solutions.

OTP’s mission is to become leading bank of the digital era. As employees we work with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. We nurture values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
•    Collaborate across squads to define data requirements, roadmaps, use cases, and metrics for data products or features.
•    Design and document data models, schemas, and flows that meet business and analytical needs.
•    Extract, transform, and load data from various sources using query languages, tools, and APIs.
•    Ensure data quality, completeness, and reliability across data pipelines.
•    Develop and implement data tools, tests, and monitors to optimize data performance and troubleshoot issues.
•    Comply with data governance policies and standards for data security, privacy, and classification.
•    Contribute to the data glossary and data catalog to document data sources, definitions, and lineage.
Required Qualifications
•    Bachelor's or Master's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field.
•    Experience in data engineering, data science, software development, or data modeling.
•    Knowledge of programming languages, such as Python, Java, Scala, or C#
•    Knowledge of Microsoft Azure data platform
•    Experience with data tools and frameworks, such as Databricks, Spark, Kafka
•    Knowledge of SQL data query language
•    Experience with Azure Data Lake, Azure Data Factory 
•    Experience with data governance and compliance standards, such as GDPR
Additional/Prefered Qualifications
•    Experience with data visualization tools, such as Power BI
•    Relevant Microsoft Cloud certifications are a plus
•    Strong communication, collaboration, and problem-solving skills.
•    Fluent in Hungarian and intermediate or above level of English is a must
Perks/Benefits
•    Yearly Bonus
•    Cafeteria
•    Private Health Insurance
•    Discounted Banking Services
•    Trainning and Development Opportunities
•    Sports/Fitness Discounts
•    Travel Expense Support