Senior Data Engineer (Python/Scala)

Parser Limited; Madrid; Híbrido; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

Parser is seeking a Senior Data Engineer in Madrid to join a growing team that ingests billions of events daily and transforms data for all internal services.

You'll design and implement scalable, cloud-based data pipelines using Kafka, Spark, Airflow, Hive, and AWS services, ensuring reliability and observability.

Join a collaborative, learning-focused environment with modern tooling and opportunities to influence architecture while delivering measurable business value.

Formación

• 6-7 years of experience with modern programming languages such as Python or Scala.
• Proven ability to deliver scalable, highly available data solutions with large volumes.
• Strong SQL and experience with relational and non-relational databases.

Responsabilidades

• Develop data capture, processing, storage, distribution, and visualization.
• Apply AWS cloud services and standard methodologies.
• Write clean, maintainable, and well-tested code.
• Build scalable distributed systems focusing on availability and resiliency.
• Document solutions and design decisions.
• Contribute to system architecture and new approaches.
• Work in an agile team with continuous learning.

Conocimientos

Python/Scala

SQL

AWS

Data modeling

Herramientas

Kafka

Spark

Airflow

Hive

Kinesis

EMR

Docker

Descripción del empleo

About Parser

Technology alone does not create impact-the right teams do.

Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.

The Role

As a Senior Data Engineer at Parser, you'll be part of a team that ingests more than 3.6 billion domain event messages per day (11.5 TB), enriching and transforming this data to make it available for all internal functions, people, and services. If you have a growth mindset and love solving complex challenges, we invite you to join us on this exciting journey.

Key Responsibilities

• 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

Required Experience and Qualifications

• 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

Location:

Madrid: Hybrid model, 2-3 days per week

What We Offer

• 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

Join Parser and be part of a team that's revolutionizing the travel industry through data and technology!