TL;DR

Data Engineer (Fintech): Designing, building, and maintaining a reliable data platform to power insight generation and decision-making across the company with an accent on data infrastructure, ETL workflows, and distributed data processing. Focus on implementing data standards, collaborating cross-functionally, and ensuring data quality and performance at scale.

Location: Relocation to Poland, Spain, or the UAE supported with flexible remote or hybrid work from offices in Krakow, Barcelona, Madrid, or Dubai.

Company

%hirify_global% is a fast-growing fintech product company with 65+ million customers, focused on delivering innovative financial services globally.

What you will do

Design, build, and maintain an efficient and reliable data platform, automating workflows and streamlining processes.
Partner with Product, Engineering, and Data Science teams to translate concepts into practical data solutions.
Establish and enforce data standards, maintain documentation, and manage a company-wide data registry.
Train and support users, communicate platform updates and insights through dashboards and bots.
Plan and execute organization-wide platform changes ensuring best practices in coding, testing, deployment, and maintenance.
Leverage data to guide engineering work and ensure insight-driven outcomes.

Requirements

Relocation to Poland, Spain, or UAE supported with flexible remote or hybrid work options.
Bachelor's or master's degree in computer science or equivalent experience.
Proficiency in Python, SQL, and Unix Shell scripting.
Experience with agile development practices including TDD, refactoring, CI/CD, and XP.
Strong experience in custom ETL design and workflow orchestration using Airflow.
Expertise in distributed data processing and query engines such as Trino, Spark, Snowflake, or BigQuery.

Nice to have

Experience building large-scale infrastructure applications and multi-language codebases.
Expertise in cloud platforms (GCP, AWS), containerization, and infrastructure as code (Docker, Kubernetes, Terraform).
Knowledge of modern data architecture and data mesh principles.
Familiarity with data science workflows and monitoring tools like NewRelic, Grafana, Prometheus, ELK.

Culture & Benefits

Inclusive and diverse workplace with a strong D&I framework.
Support throughout the relocation process.
Flexible work arrangements including remote and hybrid options.
Global team with multicultural environment.