Senior Data Engineer

Technologies we use

Expected

• Python
• SQL
• Microsoft SQL Server
• PostgreSQL
• Microsoft Azure

Optional

• Google Cloud Platform
• AWS
• Databricks
• Apache Spark
• PySpark
• Apache Airflow
• GitHub Actions
• Terraform

About the project

At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500.

We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures.

Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations.

As we continue to grow, you’ll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives.

Opportunity Overview

As a Senior Data Engineer, you will play a key role in designing, building, and scaling our clients’ cloud data platforms. You’ll work closely with technical and business stakeholders, influence architecture decisions, and drive best engineering standards across teams.

Expect cutting-edge cloud environments (Azure-first, with cross-cloud exposure), Databricks, Spark, robust CI/CD, and high-impact data solutions used across international organizations.

You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth.

This is how we organize our work

Team size

4-7

This is how we work

• in house
• at the client's site
• you focus on a single project at a time
• you develop several projects simultaneously
• you can change the project
• you have influence on the technological solutions applied
• you have influence on the product
• you develop the code "from scratch"
• you focus on product development
• agile
• scrum

Your 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, 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 them in technical growth (without formal line management).
• Staying up-to-date with emerging technologies and proposing innovations to enhance platform capabilities.

Our requirements

• 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.

Optional

• Experience with Databricks, Apache Spark, PySpark (big advantage).
• Hands-on knowledge of Apache Airflow or other orchestration tools.
• Experience with Azure DevOps or GitHub Actions for CI/CD.
• Familiarity with infrastructure as code (Terraform/Bicep).
• Exposure to AI/ML pipelines or MLOps environments.

What we offer

• Professional Growth:
• Access to top e‑learning platforms and development budget
• Real ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally
• Work Environment:
• Long-term collaboration via B2B - we value lasting partnerships
• Remote-first
• Flexible hours
• Work alongside exceptional engineers and experts
• Flat structure where every person matters and influences the company
• Culture & Integration:
• Full-company integration trips (including international ones)
• Team-level integration budgets
• Open, supportive, and collaborative culture

This is how we work on a project

• Clean Code
• code quality measures
• code review
• design patterns
• static code analysis
• architect / technical leader support
• Continuous Deployment
• Continuous Integration
• DevOps
• SysOps
• team-level deployment
• documentation

Recruitment stages

• Screening
• Tech Interview
• HR Interview

EQUAL OPPORTUNITY

CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ

At CLOUDFIDE, we do everything with data and contribute to pivotal projects for Fortune 500 companies. This is your chance to enhance your skills and leave your global footprint.

Our collaborative culture champions your professional growth. Dive into cloud data processing, gain hands-on big data experience, and leverage our team's expertise to drive your professional growth.

Here you'll have an opportunity to use advanced technologies to shape client strategies. With CLOUDFIDE, you can amplify your career alongside the industry's best.