Data Engineer

As a Data Engineer at Cloudamite, you’ll collaborate with a variety of clients to build and maintain scalable, reliable, and efficient data pipelines and infrastructure. This is a hands-on role ideal for someone who enjoys solving complex data challenges in dynamic environments.

Key Responsibilities:

• Collaborate with cloud architects, analysts, and client stakeholders to understand data needs

• Design, develop, and maintain data pipelines and ETL/ELT workflows

• Implement and optimize data storage solutions (e.g. data lakes and data warehouses)

• Work with modern data technologies such as Apache Spark, dbt, Airflow, Kafka etc.

• Ensure data quality, integrity, and security across platforms

• Document systems and processes clearly for internal and client use

Qualifications:

• Experience in data engineering or a similar role in customer project or in-house team

• Proficiency in SQL and at least one programming language (Python, Scala etc.)

• Experience with cloud platforms (AWS, Azure or GCP) and services like S3, BigQuery, Redshift, Snowflake or Databricks

• Familiarity with data orchestration tools (e.g. Airflow and Prefect)

• Solid understanding of data modeling and data warehousing principlesExcellent problem-solving and communication skills

Preferred Qualifications:

• Experience in a consulting or client-facing environment

• Certifications in cloud or data engineering (e.g. Azure Data Engineer Associate, AWS Data Analytics or Google Professional Data Engineer)

• Knowledge of DevOps and CI/CD practices for data workflows

• Experience with PowerBI/Power Apps or Tableau

We have a fair salary model, an open and honest culture and opportunity to influence the development and decision-making of the company.

If you’re interested, tell us more about your skills and aspirations by sending an email to [email protected].