Data Engineer

Holafly; Dublin; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

PTO 25 days

Pension 5%

Health coverage €3000

Self development budget $500

Job summary

Holafly is hiring a Data Engineer to build and scale high-performance data pipelines that turn raw connectivity data into actionable insights. You will develop APIs with FastAPI, transform data with DBT, and optimise warehouse structures for rapid analyses. You will work across engineering and product teams to support global growth.

The role requires expert Python, SQL, and cloud data warehousing experience, with a focus on scalable ETL/ELT pipelines and data quality automation.

Qualifications

• Advanced Python development for data pipelines and APIs.
• Strong SQL skills for large datasets and complex transformations.
• Experience with data modelling and cloud data warehousing architectures (GCP/BigQuery).
• Proven track record in building scalable ETL/ELT pipelines using modern tools.

Responsibilities

• Build and scale ETL/ELT pipelines to integrate diverse data sources into a unified, high-availability ecosystem.
• Develop and maintain high-performance APIs using FastAPI to expose data insights to internal services.
• Lead data transformations with DBT to structure the warehouse for analysis.
• Optimise data structures and schemas for fast analytical and operational queries.
• Automate data validation and cleansing to ensure data integrity and security.
• Drive technical innovation by implementing modern frameworks to enhance processing capabilities.

Skills

Python

SQL

Data modelling

Cloud data warehousing

Tools

FastAPI

DBT

BigQuery

GCP

Job description

Company Overview Holafly is a high-growth scale-up revolutionising how businesses and travellers connect to the internet abroad. Since 2018, we’ve empowered travellers in over 200 destinations worldwide with secure and reliable eSIM solutions. With a team of 500+ professionals across multiple countries, we are scaling globally to support travellers with seamless, unlimited data connectivity.

We’re not just connecting people—we’re enabling freedom and peace of mind, ensuring our users stay connected from the second they land, wherever their journey takes them.

The Role

As our Data Engineer, you will build and scale the high-performance pipelines and data services that turn raw connectivity data into actionable intelligence. Your work directly enables our leadership and product teams to make real-time, data-driven decisions that fuel our international growth.

Key Responsibilities

• Build and scale robust ETL/ELT pipelines to integrate diverse data sources into a unified, high-availability ecosystem.
• Develop and maintain high-performance APIs using FastAPI to expose data insights to internal services and stakeholders.
• Lead data transformations by using DBT to ensure our warehouse is structured, modular, and ready for high-level analysis.
• Optimise data structures and schemas to ensure lightning-fast query performance for analytical and operational use cases.
• Automate data validation and cleansing processes to guarantee the highest standards of data integrity and security.
• Drive technical innovation by implementing modern frameworks that enhance our processing capabilities and data reliability.

Qualifications

• Proven track record in Data Engineering or a similar back-end heavy role within high-growth environments.
• Advanced proficiency in Python, with specific experience building and deploying APIs using FastAPI.
• Deep expertise in DBT, with a focus on building scalable and maintainable transformation layers.
• Strong mastery of SQL for building complex data software and manipulating large datasets.
• Solid understanding of modern data modelling and cloud-based warehousing architecture (GCP and BigQuery preferred).

Nice to Have

• Experience with Google Dataflow or Apache Beam.
• Background in Infrastructure as Code (IaC) or CI/CD for data workflows.

Benefits & Perks

• 25 Days of PTO
• 5% pension contribution
• € 3000 for Medical/Health coverage
• Self development budget of $ 500