Support Data Engineer

Description

Full-time B2B/UZ

What we offer

• 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 UZ/B2B - we value lasting partnershipsRemote-firstFlexible hoursWork alongside exceptional engineers and expertsFlat structure where every person matters and influences the company

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

• Full-company integration trips (including international ones)

• Team-level integration budgets

• Open, supportive, and collaborative culture

Opis roli

• This is a support-focused, hands-on internship where you’ll assist engineers in monitoring, maintaining, and improving cloud-based data pipelines and environments.

• Expect training, mentorship, and meaningful responsibilities - all tailored to help you build the foundations of a future Data Engineer career.

Wynagrodzenie

• undisclosed salary

Responsibilities

• Supporting engineering teams with day-to-day technical and operational tasks.

• Assisting with monitoring, debugging, and validating cloud data pipelines.

• Using Python and SQL for data processing, cleaning, and analysis.

• Helping document workflows and implement small improvements.

• Collaborating with mid and senior engineers to understand requirements and deliver simple solutions.

• Learning modern tools such as Azure, Databricks, Spark, orchestration, and CI/CD.

• Gradually taking on more advanced tasks as your skills grow.

Sekcja why join us

• At Cloudfide, you’ll kickstart your data engineering journey working on real cloud data tasks - not simulated projects. We build cloud-native data platforms, process massive datasets, and support clients from the Fortune 500 and global retail leaders.

• You’ll work with modern cloud technologies, learn from experienced engineers, and contribute to everyday tasks across Big Data, analytics, and cloud environments.It’s a role designed for learning, growth, and gaining real technical experience.

Sekcja nice to have

• Participation in student tech groups, hackathons, coding communities, or research circles.

• Any exposure to Azure, Databricks, Spark, or ETL concepts (e.g., from university projects).

• Familiarity with scripting, version control, or cloud basics.

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

• No commercial experience required.

• Working knowledge of Python - ability to write basic scripts and perform data transformations.

• Working knowledge of SQL - comfortable with queries, joins, aggregations.

• Student in Computer Science, Data Science, Applied Mathematics, Informatics, or a similar field.

• Interest in cloud technologies, data engineering, or Big Data systems.

• Eagerness to learn, ask questions, and grow in a fast-paced tech environment.

• Analytical mindset and problem-solving attitude.