Senior Data Engineer, Python/Scala

Parser

Senior Data Engineer at Parser developing scalable data processing solutions handling 3.6 billion domain event messages daily. Collaborating with a global team to enhance digital transformation for clients.

Posted 7/25/2026full-timeMadrid • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing scalable and highly available distributed systems, with a strong focus on AWS cloud services, data processing, and system architecture. Proficient in writing clean, maintainable code and effectively communicating design decisions within an agile team environment.

Highest-signal resume keywords

AWS Cloud ServicesPython ProgrammingSQL ProficiencyDistributed Systems DevelopmentAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CaptureData ProcessingData StorageData VisualizationRelational DatabasesNon-Relational DatabasesSystem ArchitectureClean Code PracticesPerformance MonitoringResiliency Engineering

Soft Skills

Self-MotivationOrganizational SkillsCommunication SkillsTeam CollaborationContinuous Learning

Industry Keywords

Service Design PatternsHigh AvailabilityScalabilityTransaction VolumesAgile Team

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsPythonScalaSQL

About the role

Key responsibilities & impact

Develop various facets of data capture, processing, storage, distribution, and visualization
Understand and apply AWS standard methodologies and products (compute, storage, databases)
Write clean, maintainable, and well-tested code
Develop scalable and highly-performant distributed systems (focusing on availability, monitoring, resiliency)
Communicate and document solutions and design decisions
Propose new approaches and contribute to system architecture
Be part of an agile team that is continuously learning and improving

Requirements

What you’ll need

6-7 years of experience with at least one modern programming language (e.g., Python, or Scala)
Experience delivering and supporting highly available and scalable solutions with large transaction volumes
Experience with both relational and non-relational databases, with strong proficiency in SQL
Experience using cloud services (AWS is preferred)
Passion for learning, especially in data, technology, service design patterns, and system architecture
Self-motivation, drive, and good organizational skills to work in a multi-disciplinary team

Benefits

Comp & perks

A friendly and collaborative team keen on knowledge sharing and continuous learning
A bias for action
Opportunity to work on a cloud-based data lake backed by cutting-edge technologies, including Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR, and Docker