Senior Data Engineer (Python/Scala)
At a glance
Senior Data Engineering role at parser. Madrid · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build data capture, processing, storage, distribution and visualization capabilities
- Apply AWS services across compute, storage and databases to support data systems
- Write tested, maintainable code for distributed systems built for scale, availability and resilience
- Document technical choices, suggest new approaches and help shape system architecture
- Work with an agile team to improve how it delivers and supports data systems
What you bring
- At least six years using a modern programming language such as Python or Scala
- You have delivered and supported scalable, highly available systems handling large transaction volumes
- You are proficient in SQL and have worked with relational and non-relational databases
- You have cloud services experience, with AWS preferred
Who this fits
This role suits a senior engineer who enjoys data systems, architecture and learning with a multidisciplinary team. You’ll work in a hybrid setup in Madrid, attending the office two or three days each week.
From the employer
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!
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.