Senior Data Engineer

Hybrid in Romania: Bucharest

Data Integration

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We are looking for a passionate and experienced Senior Data Engineer to join our team.

You will play a pivotal role in designing, building, and maintaining scalable data solutions that empower our teams with actionable insights and drive innovation across the organization.

Responsibilities

Monitor storage and compute resources on Google Cloud Platform (GCP) to ensure optimal capacity and usage
Support approximately 20 applications by addressing data needs and maintaining strong performance
Use Enterprise Analytics Platform (EAP) and data warehouse solutions for data management and reporting
Consolidate large, complex datasets from various sources, transforming them into accessible formats
Develop and maintain data extraction, transformation, and pipeline architectures
Identify opportunities to enhance data reliability, quality, and accessibility
Address challenges related to organic data growth and storage scaling, improving monitoring capabilities
Work closely with application teams to understand data requirements and share best practices

Requirements

A minimum of 3+ years of experience in data engineering or a related field
Proficiency in ELT, data modeling, and data integration, ingestion, manipulation, and processing
Experience with GCP monitoring, EAP or data warehouse solutions, and tracking capacity vs usage
Hands-on expertise with GitHub, Actions, Azure DevOps, and tools such as SQL DB, Synapse, Databricks, and Data Factory
Familiarity with Glue, Airflow, Stream Analytics, Redshift, Kinesis, SonarQube, and PyTest
Exceptional analytical and problem-solving skills with a proactive mindset
Competency in managing large volumes, velocity, and variety of data
Strong communication and collaboration skills to effectively work with cross-functional teams

Nice to have

Knowledge of external technical ecosystems
Familiarity with automation tools for monitoring and reporting
Background in data modeling concepts
Experience with dashboarding and visualization tools such as Tableau, Power BI, or Looker
Previous exposure to financial services or enterprise environments