Rebtel Head of Data

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

As our Head of Data, you will be responsible for the team bringing our data stack and usage of data to the next level. Your role will be to identify how we best leverage our vast amounts of data, set the Data Strategy for Rebtel and implement it together with your team. You will be working closely together with stakeholders within business development, finance, commercial, product and fraud - having a huge impact on the roadmap for the company. You will also be the person taking the lead in driving the the direction of the technical architecture of how we handle our vast amounts of data. 

Current stack: AWS (Kinesis, S3, Lamda), Snowflake, Airflow, Matillion, DBT, Looker

The team’s responsibility


Design, build and maintain our data pipeline architecture empowering our business intelligence

Build a scalable event streaming infrastructure to enable real-time analytics use cases

Model our data in our Snowflake DW

Help drive towards DataOps by  building a robust testing coverage and CI/CD pipelines to ensure data quality & high availability

Govern data architecture to produce robust dataflows

Interact with business stakeholders to understand their needs & collaborate to build the solution the business needs



Experience we seek 


Experience in modelling and building data pipelines

Experience with Data Ops

Experience in ELT techniques and data warehouse modelling

Some or all technologies: SQL, DBT, Python, Airflow, AWS (or other cloud data platforms). Event-bus tech like Kinesis data stream.



Additional appreciated experience


Experience from a fast paced company with digital products, marketing and/or machine learning

Experience with data visualization and reporting using tools like Looker or similar

Decent knowledge of DevOps and SCM tools and processes



Ideal candidate


5+ Years within Data Engineering/Data Modeling or Similar 

Proven track record in leading a team and collaborating with stakeholders outside of the team

MSc (or equivalent) in Engineering, Computer Science (or relevant professional experience)

Excellent statistical analysis skills