Data Engineer

MAJORITY is a groundbreaking all-in-one digital financial service app that includes an FDIC-insured account, Visa® Prepaid card, money remittance, and international calling. We are built for migrants, by migrants.

Global migration is a 21st-century reality. Whether people are following their dreams, love or new experiences, more and more of us are leaning towards new environments. Our purpose at MAJORITY is to empower the amazing, the brave, and the talented and help them achieve all of their ambitions.

We believe that everyone deserves the same opportunity to succeed. Our mission is to provide migrants the tools to thrive in their new country.

We are a diverse group of people from over 40 different countries 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 Senior Data Engineer, you will be a part of the data team where you will play a key role in bringing our data stack to the next level. This is a highly impactful role where you will be able to take the lead in driving the direction of the technical architecture and roadmap for the company.

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

• 3+ Years within Data Engineering/Data Modeling or Similar 
• MSc (or equivalent) in Engineering, Computer Science (or relevant professional experience)
• 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 Looker or similar