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Junior Data Engineer

Remote, Polska
CloudFide
Partner
230d
Salary to be agreed
Full-time / B2B / Freelance • Remote • IT, Data & AI

Key offer highlights

  • DevOps / Cloud: AWS, Azure, Docker, Kubernetes

  • Great for a junior start

  • Remote work - no commuting

  • Flexible schedule

  • Data: SQL / BI / Python

Opis

Full-time B2B/UZ

Oferujemy

  • Professional Growth:Access to top e‑learning platforms and development budgetReal ownership opportunities - expand your scope, drive solutions, lead initiatives; most of our Leads are promoted internally

  • 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/UZ - we value lasting partnershipsRemote-firstFlexible hoursWork alongside exceptional engineers and expertsFlat structure where every person matters and influences the company

  • Long-term collaboration via B2B/UZ - 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 budgetsOpen, supportive, and collaborative culture

  • Full-company integration trips (including international ones)

  • Team-level integration budgets

  • Open, supportive, and collaborative culture

Opis roli

  • As a Junior Data Engineer, you will support the development of modern cloud data solutions, collaborate with experienced engineers, and gain exposure to the full lifecycle of data engineering projects.Expect hands-on learning, meaningful work, and a supportive environment where asking questions is welcome - and growth is expected.

Wynagrodzenie

  • undisclosed salary

Zakres obowiązków

  • Assisting in building and maintaining data pipelines and data models in cloud environments (Azure is our main stack).

  • Supporting the implementation of data engineering best practices (quality checks, documentation, testing, monitoring).

  • Working with senior engineers on tasks related to data transformation, processing, and optimization.

  • Participating in discussions with clients and internal teams to understand requirements.

  • Contributing to the development of robust, scalable cloud data solutions.

  • Learning continuously - new technologies, cloud services, frameworks, and project methodologies.

Sekcja why join us

  • At Cloudfide, you’ll start your data engineering career inside real, large-scale projects - not shadow work. We build cloud-native data platforms, process massive datasets, and work with international clients, including Fortune 500 and leading retail organizations.

  • You’ll work with modern cloud technologies, learn from outstanding engineers, and contribute to projects involving Big Data, AI/ML, Databricks, and advanced data lakehouse architectures.We’re growing fast - and you can grow with us.

Sekcja nice to have

  • Exposure to Databricks, Spark, or PySpark.

  • Familiarity with Airflow or other orchestration tools.

  • Experience with CI/CD (Azure DevOps, GitHub Actions).

  • Any experience in cloud-based analytics or data pipelines.

Informacje dodatkowe

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

Sekcja what we re looking for

  • Hands-on experience with data-related work (e.g., data transformation, SQL development, ETL, cloud tools, scripting).

  • Familiarity with at least one cloud platform - Azure preferred; AWS/GCP also welcome.

  • Knowledge of Python for data processing tasks.

  • Solid understanding of SQL and relational databases.

  • General awareness of data modeling, ETL/ELT concepts, and cloud environments.

  • Curiosity, willingness to learn, and openness to working in dynamic, evolving data projects.

  • Strong communication, problem‑solving attitude, and a proactive mindset.

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