Data Engineer – Data Engineering Team

Capital.com

. Design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources .

Posted 9/30/2026full-timeWarsaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, implementing ETL processes, and optimizing data models for performance. Proficient in collaborating with cross-functional teams to deliver data-driven business solutions while ensuring data quality and governance.

Highest-signal resume keywords

Data Pipeline DevelopmentETL Processes ImplementationRedshift and Snowflake ExperiencePython ProficiencyAWS Cloud Services Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData Quality MonitoringData Governance PracticesData TransformationData AggregationData EnrichmentWorkflow OrchestrationReal-Time Data StreamingData VisualizationProject Management

Soft Skills

Problem-SolvingCritical ThinkingCollaborationAdaptabilityProactive Troubleshooting

Tools & Technologies

DBTApache AirflowKafkaTableauPower BILookerJiraAWS S3AWS EC2AWS EMR

Industry Keywords

Data EngineeringBusiness IntelligenceData AnalyticsData InfrastructureData ReliabilityData Availability

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSCloudEC2ETLKafkaPythonTableau

About the role

Key responsibilities & impact

Design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources
Create and maintain data models for reporting, analytics, and business intelligence, optimizing data structures for performance and efficiency
Implement ETL processes for data transformation, aggregation, and enrichment
Monitor and address data quality issues, implement data validation processes, and establish data governance practices
Manage and optimize data storage, processing, and distribution systems for scalability and performance
Collaborate with data scientists, analysts, and cross-functional teams to understand requirements and deliver business solutions
Document data engineering processes, pipelines, and systems
Contribute to data infrastructure development and maintenance, ensuring data reliability and availability
Stay current with data engineering best practices and emerging technologies

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Minimum of 3 years of experience in data engineering or a related field
Proven experience with Redshift and Snowflake
Experience with DBT
Experience with Apache Airflow for workflow orchestration
Proficiency in Python for data pipeline development and scripting
Experience with AWS cloud services, including S3, EC2, and EMR
Familiarity with Kafka for real-time data streaming
Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker
Project management skills using Jira or similar tools
Ability to collaborate effectively with cross-functional teams and understand business data needs
Strong problem-solving, proactive troubleshooting, and critical thinking abilities
Adaptability and openness to learning new technologies and methodologies

Benefits

Comp & perks

Competitive salary
Work-life harmony
Annual leave
Employee referral program with rewards
Medical insurance
Pension plans
Location-specific benefits and perks
30 extra days to work remotely from anywhere in the world (some restrictions apply)
Two additional paid volunteer days each year