Data Engineer

Global migration is a 21st-century reality. Whether people are fleeing from something or racing towards better opportunity, following love or seeking new experiences, more and more are living in different environments and in new ways. We celebrate the power of people coming together. That’s why we connect ambitious people abroad with their families and friends back home so they can support each other, and lead more enriched lives.

With international calling, mobile top-up service and more, we design products with the needs of modern migrants in mind.

Our ambitious team reflects our international audience. We are a diverse group of people from all over the world that come together every day—and we’re looking for others driven by the same desire to create meaningful products that bridge cultural and geographic distances.

Location Stockholm, Sweden

Key Responsibilities:

Architect, Develop and Monitor Data Pipelines:

• Design, develop and maintain efficient and scalable data pipelines for seamless data flow into our Snowflake DWH.
• Activate data in other systems from DWH data (e.g., CRM, Customer support tool).
• Implement best practices for data architecture, ensuring reliability and performance.
• Monitor data ingestion, transformation and loading jobs, addressing failures and resolving incidents in the pipeline.

Tech Stack Expertise:

• Utilize Snowflake, dbt and Looker to enable robust BI reporting and analytics.
• Leverage AWS technologies (Lambdas, S3, Kinesis) to enhance data processing capabilities for near real-time analytics.

ELT Techniques:

• Dimensionally model data into Facts and Dimensions for direct use in BI and analytics.
• Ensure data accuracy and consistency through tests at relevant stages of the data pipeline.

Cross-Functional Collaboration:

• Collaborate with cross-functional teams to understand data requirements and contribute to the development of analytics solutions.
• Work closely with data scientists, analysts and stakeholders to ensure alignment with business objectives.

Innovation and Adaptability:

• Stay updated on industry trends and actively explore and integrate new tools and technologies.
• Conduct POCs and evaluations of new tools and technologies to contribute to Rebtel's future tech architecture.
• Implement strategic and forward-thinking solutions to realize the target state of Rebtel's technical landscape.

What we seek

• Experience in building data pipelines that integrate with varied data sources
• Experience in ELT techniques and data warehouse modeling
• Excellent SQL skills
• Some or all technologies: dbt, Python, AWS (or other cloud data platforms)
• Excellent collaboration and communication skills
• Ability to thrive in a dynamic and innovative environment

Bonus points

• Experience from a fast-paced company with digital products, marketing, and/or machine learning
• A degree in computer science or equivalent
• Experience with data visualization and reporting using tools like Looker or similar

Ideal candidate

• 3+ Years within Data Engineering
• Experience working with ELT methodologies and data warehousing
• A great team player
• Happy trying out new techniques and technologies

We are Rebtel - People from all around the world, as of now 23, countries and more to come. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.