Senior Cloud Data Engineer: Remote-First, Growth

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Polska; A distancia; PLN 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Multisport

Private medical care

Development budget

Remote-friendly culture

Descripción de la vacante

Cloudfide is looking for a Senior Data Engineer to design, build, and scale cloud data platforms for international clients. You will collaborate with stakeholders, influence architecture decisions, and drive engineering standards across teams in Azure-first environments with Databricks and Spark.

You will lead data pipelines, optimize performance, and work with DataOps practices, CI/CD, and cross-cloud exposure to deliver high-impact data solutions.

Formación

• 4+ years of hands-on experience as a Data Engineer or in a closely related role.
• 2+ years of cloud platform experience (Azure preferred; AWS/GCP also valuable).
• Strong Python skills with production-grade code in distributed data environments.
• Advanced SQL skills and experience with relational databases (SQL Server, PostgreSQL).
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse).
• Solid understanding of cloud architecture, networking basics, security, APIs, and scalable systems.
• Experience with large-scale, high-volume datasets.
• Ownership mindset, creativity, and openness to innovation.
• Ability to operate autonomously and drive initiatives in dynamic cloud projects.

Responsabilidades

• Design scalable, production-grade data pipelines, data models, and processing frameworks in cloud environments.
• Lead the technical design of cloud data architectures and contribute to standards and strategy.
• Promote data engineering practices: quality, lineage, observability, testing, automation, documentation.
• Optimize data workflows for performance, cost, and reliability across distributed systems.
• Collaborate with clients and senior stakeholders to understand requirements and communicate decisions.
• Work with CI/CD pipelines, infrastructure-as-code, and DataOps to streamline deployments.
• Integrate data solutions with BI, ML, and application layers across client environments.
• Mentor mid-level engineers and support their technical growth.
• Stay up-to-date with emerging technologies and propose platform improvements.

Conocimientos

Python

SQL

Data modeling

ETL/ELT

Herramientas

Databricks

Apache Spark

PySpark

Airflow

CI/CD (Azure DevOps/GitHub Actions)

Terraform/Bicep

Descripción del empleo

Cloudfide is looking for a Senior Data Engineer to design, build, and scale cloud data platforms for international clients. You will collaborate with stakeholders, influence architecture decisions, and drive engineering standards across teams in Azure-first environments with Databricks and Spark.

You will lead data pipelines, optimize performance, and work with DataOps practices, CI/CD, and cross-cloud exposure to deliver high-impact data solutions.