Data Warehouse Engineer

Description

The company builds software that connects the physical and digital worlds, helping businesses run better, design better products and empower their people.

The company has nearly 7,000 employees worldwide.

This role supports the modeling, building, tuning and automation of the CDOPS data warehouse.

You will help Business Intelligence (BI) teams get accurate, high-quality data to make informed decisions across the organization.

The role suits someone early in a data engineering career who wants to learn current data modeling methods, work with cloud data platforms and improve how data gets delivered.

You will work with infrastructure developers, data engineers, BI developers, product owners and data analysts. With guidance and mentoring, you will help run the Snowflake warehouse, shape an efficient architecture, and watch over data integrity, performance and cost.

You will also learn warehousing and ETL good practice, document models and processes, and keep data quality high. Keeping up with industry developments helps the data platform keep evolving.

Responsibilities

• Help build dimensional models for areas such as ISO-based technical support processes, Knowledge Centric Support, Operational Expenditure, Web Analytics and general data models.
• Help create and maintain ETL pipelines built with DBT, Apache Airflow and GitLab.
• Help manage Snowflake assets and learn to cut storage and compute costs using Terraform.
• Take part in building storage and transformation solutions in Snowflake.
• Contribute to AI/BI products.
• Supply Business Data Marts to BI developers for analytics use cases.
• Work with cross-functional teams to pin down business and data requirements.
• Help senior team members troubleshoot data warehouse and ETL issues.
• Help improve the warehouse's performance and capabilities.
• Help write documentation for data models, processes and system designs.
• Help improve data quality and documentation with DBT and Great Expectations.
• Help automate manual tasks and streamline data workflows.
• Track new trends in data warehousing and Snowflake.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Engineering or a related field.
• Strong interest in data engineering and cloud data architectures.
• Fluent English.
• Foundational knowledge of data systems, ETL or database design. Coursework is acceptable.
• Internship, academic project or equivalent hands-on work with data tools (a plus).
• Preferred: basic grasp of analytical and dimensional modeling.
• Preferred: strong SQL fundamentals.
• Preferred: familiarity with Snowflake or other cloud data warehouses.
• Preferred: exposure to DBT, Airflow, Git or Docker (a plus).
• Preferred: experience with relational database concepts.
• Preferred: introductory Python for data workflows.
• Preferred: strong communication and willingness to learn in a quick-moving setting.
• Preferred: organized and proactive.
• Preferred: works well with cross-functional teams.
• You do not need to be an expert. Coursework, internships or personal projects are welcome.
• Nice to have: exposure to SaaS business models.
• Nice to have: Agile experience.
• Nice to have: familiarity with GitLab CI/CD.
• Nice to have: basic Terraform or infrastructure-as-code knowledge.
• Nice to have: Docker as a development environment.

Conditions

The anticipated annual base salary is 139,200 to 208,800 RON for the stated work location, reflecting expected pay at the time of posting.

Final pay falls within that range, based on your qualifications and experience against the role's requirements and internal pay framework.

Pay is set using objective, gender-neutral criteria: relevant experience, skills, qualifications, responsibilities and geographic location.

Benefits

• May be eligible for a performance-based variable pay plan, where applicable, under plan rules and local legal requirements.
• May be offered the chance to join the Employee Share Purchase Programme (ESPP), subject to local eligibility criteria and applicable law.