Senior Data Engineer - Databricks, Azure Cloud, Remote

CLOUDFIDE SP. Z.O.O; Województwo mazowieckie; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

MyBenefit platform / Multisport

Enel‑Med private medical care

Job summary

Cloudfide SP. z o.o. is seeking a Senior Data Engineer to design, build, and scale cloud data platforms for global clients. You will partner with stakeholders to influence architecture decisions, implement production-grade data pipelines, and advance modern data architectures in Azure-centric environments.

The role emphasizes collaboration, ownership, and continuous growth, with remote-first work, and opportunities to mentor engineers and lead initiatives across projects.

Qualifications

• 4+ years of hands-on experience as a Data Engineer or in a closely related engineering role.
• 2+ years experience working with cloud platforms - we operate primarily in Azure, but AWS/GCP experience is equally valuable.
• Strong Python skills - ability to write maintainable, production-ready code in distributed data environments.
• Advanced SQL proficiency and experience with relational databases (SQL Server, PostgreSQL, etc.).
• Expertise in DWH data modeling, ETL/ELT architectures, and modern data design patterns (Lakehouse preferred).
• Solid understanding of cloud architecture, networking fundamentals, security, APIs, and scalable systems.
• Experience working with large-scale, high-volume datasets.
• Strong ownership mindset, creativity, and openness to innovation.
• Ability to operate autonomously and drive initiatives in dynamic, evolving cloud projects.

Responsibilities

• Designing and implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments.
• Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy.
• Driving best practices in data engineering: quality assurance, lineage, observability, testing, automation, and documentation.
• Optimizing data workflows for performance, cost efficiency, and reliability across distributed systems.
• Collaborating closely with clients and senior stakeholders to understand requirements, propose solutions, and communicate technical decisions.
• Working with CI/CD pipelines, infrastructure-as-code, and automation (DataOps) to streamline deployments and operations.
• Integrating data solutions with BI, ML, and application layers across diverse client environments.
• Mentoring mid-level engineers, supporting their technical growth (without formal line management).
• Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.

Skills

Python

SQL

Data modeling

ETL/ELT

Big data processing

Tools

Databricks

Apache Spark

PySpark

Airflow

Azure DevOps

Terraform

Job description

Cloudfide SP. z o.o. is seeking a Senior Data Engineer to design, build, and scale cloud data platforms for global clients. You will partner with stakeholders to influence architecture decisions, implement production-grade data pipelines, and advance modern data architectures in Azure-centric environments.

The role emphasizes collaboration, ownership, and continuous growth, with remote-first work, and opportunities to mentor engineers and lead initiatives across projects.