Who is 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.

Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly general environment, we'd love to meet you.

How will you impact?

We are seeking an experienced Sr Databricks Engineer to join our growing data engineering team. This role will be instrumental in designing, developing, and maintaining our enterprise-level data platform using Databricks to support critical banking operations and analytics initiatives.

Your key responsibilities:

Your responsibilities include, but not limited to:

- Design, develop, and optimize data pipelines using Databricks and Apache Spark.
- Build scalable ETL/ELT processes to ingest, transform,



and deliver data from various banking systems.
- Implement data lakehouse architecture using Delta Lake for reliable data storage and processing.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize Databricks cluster configurations and query performance for cost efficiency.
- Develop and maintain data quality frameworks and monitoring solutions.
- Implement security best practices and ensure compliance with banking regulations (PCI-DSS, SOX, GDPR).
- Create and maintain technical documentation for data workflows and processes, mentor junior engineers, and participate in code reviews.

What you'll bring to the role:

Essential Requirements:

- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering or related roles.
- 3+ years of hands-on experience with Databricks platform.
- Strong proficiency in Apache Spark (PySpark/Scala) and expert-level SQL skills.
- Experience with Delta Lake, data lakehouse architectures, and solid understanding of cloud platforms (AWS, Azure, or GCP).
- Experience with banking or financial services data and regulatory requirements.
- Knowledge of data modeling, data warehousing concepts, dimensional modeling,



and strong problem-solving skills.

Desirable Requirements:

- Databricks certification (Data Engineer Associate or Professional).
- Experience with real-time streaming data processing (Kafka, Event Hubs), MLOps, or ML model deployment on Databricks.
- Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines, DevOps, or data governance tools.

Location:

Argenitna, Colombia, Mexico

You will receive:

- The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
- The opportunity to be part of an amazing, multicultural community of tech experts.
- A highly competitive compensation package.
- Competitive salary and performance-based bonuses.

Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law.

If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation.

By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes.

Parser may use Al-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use Al to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight.

Come and join our #ParserCommunity.

📌 Senior Data Engineer (Argentina)
🏢 Parser
📍 Argentina