
Support Data Engineer
Primary stack
Nice to have's
Job description
About the Position
Support Data Engineer
Location
- Remote
Scope
- Full-time
Contract
- B2B/UZ
Salary
- undisclosed salary
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.
Opportunity overview
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.
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.
Requirements
- Mandatory requirement:
Active student status (IT-related studies preferred). - 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.
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.
We Offer
Benefits:
- 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 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 budgets
- Open, supportive, and collaborative culture
About the Company
Cloudfide is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
© Cloudfide. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Hi, I am looking for medium or senior IT engineer with experience in the one of following technologies:— SQL, T-SQL, PL/SQL or any other data transformation oriented technologies— Azure, AWS, GCP Cloud— Python / Python (Django) / PySpark— DevOps (CI/CD, Gitflow, Azure Pipelines, Chef, Puppet, etc)— Bigdata (Spark, Databricks, Hadoop, Kafka)— PowerBI / DAX / M / Power Query— Datawarehouse — Azure Synapse (DW), AWS Redshift, GCP BigQuery, Swowflake, Oracle, Teradata— AI / MLIf you are such person feel free to contact me directly as soon as possible. We will help you to accommodate in Poland (if needed) and give permanent job on good salary conditions. Work performed remotely. First come, first served, 20 vacancies are waiting.