Data Engineer (Big Data)

TL;DR

Senior Data Engineer (Big Data): Designing and implementing scalable and reliable data architectures to support advanced analytics and business intelligence with an accent on data pipeline and workflow management using tools like dbt and Airflow. Focus on optimizing data processing, ensuring data integrity, and integrating new data sources across cloud platforms like AWS, GCP, and Azure.

Location: Hybrid in Bucharest, Romania

Company

hirify.global is a leading data platform transforming the ocean and air freight markets by providing intelligence for freight rate benchmarking and market analytics.

What you will do

• Design and implement scalable data architectures to support advanced analytics and business intelligence.
• Collaborate with cross-functional teams to understand data needs and integrate new data sources.
• Ensure data integrity, security, and efficiency in developing, testing, and maintaining data infrastructure.
• Optimize data processing and storage procedures to enhance performance and cost-efficiency.
• Develop and maintain robust data pipelines for batch and real-time data processing.
• Implement data governance policies in line with industry standards.

Requirements

• 3+ years of experience in a Data Engineer role with a proven track record in designing scalable and reliable data architecture.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Expertise with data pipeline and workflow management tools (e.g., dbt, Airflow).
• Proven expertise in data modeling using SQL.
• Experience with cloud services (AWS, GCP, Azure) and a deep understanding of Snowflake’s architecture.
• Fluent in English, oral and written.

Nice to have

• Formal certifications from Snowflake and dbt.
• Proficiency in scripting languages (Python, Bash) for automation tasks.
• Experience with AWS cloud services such as S3, Athena, RDS, Batch, Lambda, and Glue.
• Experience in implementing data governance and Terraform.

Culture & Benefits

• Support for career growth with opportunities for specialization or leadership.
• Transparent and open work environment where everyone is empowered to make an impact.
• Regular global company trips and opportunities for in-person meetings.
• Individual education budget and dedicated work hours for learning.
• Value work-life balance with flexible working hours (core time 10:00 to 15:00).
• Work with deep data analytics in a fast-growing, diverse international team.