Engineering Albania is a member of Engineering Group, one of the main players in the field of digital transformation of public and private companies and organizations around the world. With around 12,000 professionals in 65 locations (in Italy, Belgium, Germany, Norway, Serbia, Spain, Sweden, Switzerland, Argentina, Brazil, and the USA), the Engineering Group designs, develops and manages innovative solutions for the business areas where digitalization is having the biggest impact, including Digital Finance, Smart Government & E-Health, Augmented City, Digital Industry, Smart Energy & Utilities, Digital Media & Communication.
We’re looking for a Data Engineer – Snowflake to join us under a B2B cooperation model, with strong hands-on experience in building modern data platforms and scalable data pipelines. This role involves working with Snowflake, SQL, Python, and dbt, helping transform, optimize, and govern data in a cloud-based environment while supporting analytics and AI initiatives.
Responsibilities:
- Build automated extraction, transformation, and loading (ETL/ELT) pipelines from multiple sources into Snowflake.
- Optimize slow queries, configure virtual warehouses, manage micro-partitions, and control platform costs.
- Set up and maintain RBAC, data governance frameworks, masking policies, and secure data sharing.
- Design and implement scalable data models, including star and snowflake schemas.
- Leverage Snowpipe, Streams, Tasks, and Snowpark to automate and improve data processing workflows.
- Develop transformation frameworks and analytics-ready datasets using dbt.
- Work with orchestration tools such as Airflow or Prefect to manage and monitor data pipelines.
- Collaborate with Data Scientists, Business Analysts, and other stakeholders to provide clean, reliable, and ready-to-use data.
- Ensure data quality, scalability, security, and performance across the Snowflake platform.
- Contribute to best practices, architecture discussions, and continuous improvement initiatives.
Requirements:
- 3–5+ years of Data Engineering experience.
- At least 2–3 years of hands-on experience working with Snowflake.
- Advanced knowledge of SQL and Python.
- Strong experience with data modelling, including star and snowflake schemas.
- Hands-on experience with Snowpipe, Streams, Tasks, and Snowpark.
- Experience with dbt.
- Experience using workflow orchestration tools such as Airflow or Prefect.
- Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
- Strong analytical and problem-solving skills.
- Fluent English communication skills.
Engineering Albania is a member of Engineering Group, one of the main players in the field of digital transformation of public and private companies and organizations around the world. With around 12,000 professionals in 65 locations (in Italy, Belgium, Germany, Norway, Serbia, Spain, Sweden, Switzerland, Argentina, Brazil, and the USA), the Engineering Group designs, develops and manages innovative solutions for the business areas where digitalization is having the biggest impact, including Digital Finance, Smart Government & E-Health, Augmented City, Digital Industry, Smart Energy & Utilities, Digital Media & Communication.
We’re looking for a Data Engineer – Snowflake to join us under a B2B cooperation model, with strong hands-on experience in building modern data platforms and scalable data pipelines. This role involves working with Snowflake, SQL, Python, and dbt, helping transform, optimize, and govern data in a cloud-based environment while supporting analytics and AI initiatives.
Responsibilities:
- Build automated extraction, transformation, and loading (ETL/ELT) pipelines from multiple sources into Snowflake.
- Optimize slow queries, configure virtual warehouses, manage micro-partitions, and control platform costs.
- Set up and maintain RBAC, data governance frameworks, masking policies, and secure data sharing.
- Design and implement scalable data models, including star and snowflake schemas.
- Leverage Snowpipe, Streams, Tasks, and Snowpark to automate and improve data processing workflows.
- Develop transformation frameworks and analytics-ready datasets using dbt.
- Work with orchestration tools such as Airflow or Prefect to manage and monitor data pipelines.
- Collaborate with Data Scientists, Business Analysts, and other stakeholders to provide clean, reliable, and ready-to-use data.
- Ensure data quality, scalability, security, and performance across the Snowflake platform.
- Contribute to best practices, architecture discussions, and continuous improvement initiatives.
Requirements:
- 3–5+ years of Data Engineering experience.
- At least 2–3 years of hands-on experience working with Snowflake.
- Advanced knowledge of SQL and Python.
- Strong experience with data modelling, including star and snowflake schemas.
- Hands-on experience with Snowpipe, Streams, Tasks, and Snowpark.
- Experience with dbt.
- Experience using workflow orchestration tools such as Airflow or Prefect.
- Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
- Strong analytical and problem-solving skills.
- Fluent English communication skills.
