Data Engineer

Founded in 2017 and headquartered in Budapest, Asura Technologies Zrt. is looking for a Data Engineer to join our team.

We design, develop, and deploy AI-powered parking, traffic monitoring, and security systems worldwide, integrating our proprietary video analytics and license plate recognition software into our solutions.

Asura operates globally, with the United States being one of our key markets. Through our strategic partners, we are also involved in numerous projects across several countries in Europe and Asia. In short, when you work with us, you help shape international trends right here in Hungary.

• Develop and maintain data pipelines using Python and AWS, including designing data migration and transformation processes.

• Integrate data from various systems via APIs and other channels.

• Manage, administer, optimize, and maintain databases (PostgreSQL).

• Develop and monitor data infrastructure using DevOps tools.

• Develop and operate a data warehouse (Amazon Redshift) and an S3-based data lake, optimizing costs and performance.

• Participate in migrating on-premises data pipelines to AWS, operating the legacy and new environments in parallel until the transition is complete.

• Design and test data synchronization from source systems (e.g., CDC, event-driven integration, zero-ETL, and snapshot-based ingestion).

• Ensure near-real-time data availability for prediction models and APIs alongside daily batch ETL processes.

• Collaborate closely with DevOps, architecture, and source system teams in a multi-account AWS environment, across staging and production environments.

• Hands-on experience with Python for data processing tasks.

• At least 3 years of relevant professional experience.

• Confident working knowledge of Linux.

• Familiarity with AWS services (e.g., S3, Lambda, RDS, Glue).

• Basic knowledge of SQL and PostgreSQL.

• Experience working with APIs and data integrations.

• A basic DevOps mindset, including CI/CD and Infrastructure as Code (IaC).

• Logical thinking, willingness to learn, and a collaborative approach.

• Understanding of data warehouse concepts and the fundamentals of dimensional data modeling.

• Experience with Amazon Redshift or a similar columnar data warehouse (e.g., Snowflake, BigQuery).

• Familiarity with AWS Aurora / RDS PostgreSQL.

• Knowledge of IaC tools such as Terraform or OpenTofu.

• Familiarity with workflow orchestration tools (e.g., Prefect).

• Experience with Big Data technologies (e.g., Spark).

• Knowledge of Docker and Kubernetes.

• Familiarity with CDC and streaming technologies (e.g., Debezium, Kafka, Kinesis, Flink).

• Experience with data quality checks and automated data pipeline testing (e.g., Great Expectations, dbt tests).

• Familiarity with multi-account AWS environments, IAM, and networking fundamentals.

• English proficiency at B2 level or above.

• Competitive salary and an annual bonus.

• Medicover private health insurance.

• All You Can Move fitness and wellness benefit.

• An extra day off on your birthday.

• Professional development opportunities at an innovative Hungarian technology company.

• Continuous, timely feedback on your work and a supportive working environment.

• Hybrid working arrangement, with 2 days of working from home per week.