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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building modern data lake / data platform solutions for international clients, including retail and Fortune 500. Main stack includes Azure, Databricks, Python and SQL, plus CI/CD, DataOps and cloud-native services. Responsibilities cover building and launching data pipelines and models, client collaboration for requirements, implementing data quality and lineage practices, optimizing solutions for performance and cost, and contributing to cloud architecture and production processes.
from: 29 October 2026
to: 28 November 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of mandate
Offer parameters
level:mid
working mode:remote
Warszawa, Praga-Południe
Requirements
Expected technologies
Microsoft Azure
Python
SQL
Google Cloud Platform
AWS
Pyspark
Optional technologies
PostgreSQL
Microsoft SQL Server
Apache Spark
Azure DevOps
Apache Airflow
Databricks
Our requirements
- 2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
- 1+ year of experience working with cloud platforms - we use Azure, but AWS or GCP experience is also welcome.
- 2+ years of Python - strong coding skills and confidence in writing clean, production-ready code.
- 2+ years of SQL and hands-on experience with relational databases (SQL Server, PostgreSQL, or similar).
- Understanding of DWH data modeling and ETL/ELT development.
- General awareness of cloud architecture, networking, and security concepts.
- Creativity, openness to innovation, and a willingness to grow in dynamic, fast‑evolving projects.
Optional
- Experience with Apache Spark or Databricks platform.
- Experience with Azure DevOps environment.
- Experience with Apache Airflow.
Your responsibilities
- Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem).
- Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly.
- Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage.
- Optimizing existing analytical solutions for performance, cost efficiency, and reliability.
- Contributing to cloud architecture design and standards (security, governance, scalability).
- Working with CI/CD, automation, monitoring, and production-ready processes (DataOps).
- Supporting integrations across BI/ML/DevOps teams.
About the project
Why Join Us
At Cloudfide, you’ll work where data truly has impact, scale, and purpose. We design and deliver advanced Big Data and cloud-native data platforms for international clients, including major players in retail and Fortune 500.
We process massive datasets, operate fully in the cloud ecosystem, and use the latest technologies, including AI, ML, and MLOps.
Opportunity Overview
You will join an engineering team responsible for building modern cloud data lake / data platform solutions. Tools like Databricks, cloud-native services, and CI/CD pipelines will be your daily drivers.
Expect a wide variety of projects, support from exceptional engineers, and a culture of knowledge sharing, openness, and practical growth in your chosen direction.
This is how we organize our work
This is how we work
in houseat the client's siteyou focus on a single project at a timeyou develop several projects simultaneouslyyou can change the projectyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentagilescrum
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
EQUAL OPPORTUNITY
CLOUDFIDE is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
What we offer
- 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
- 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
- Full-company integration trips (including international ones)
- Team-level integration budgets
- Open, supportive, and collaborative culture
Recruitment stages
- 1.Screening
- 2.Tech Interview
- 3.HR Interview
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.
Mid Data Engineer
I apply to:
CLOUDFIDE SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Warszawa, Praga-Południe
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