Senior Data Engineer

Why Join Us?

Joe &The Juice is a fast-growing freshly made juice, coffee, and sandwich concept. JOE was founded in Copenhagen in 2002 and has grown to +400 stores across the globe with more than 4.000 employees worldwide.

We offer a healthy, convenient, and ambient experience when entering our universe and our concept extends beyond just the products themselves, but about the people behind them. The goal is to become the first truly global people-centric food & beverage company. To achieve this, we strive to continuously develop a unique culture based on our virtues as the backbone of our company’s success;
Positive Attitude, Inclusion, Social Ties, and Growth. By simultaneously focusing on having a high degree of Employee Engagement, we rely on our employees to adhere to and promote our virtues, leading to a high employee belonging.

We are currently present in the Nordics, MidEurope, United Kingdom, and United States with a growing franchise operation in new markets as well, and we have an ambitious plan to grow our business to 1,000 stores by 2028.

Role description and responsibilities

Join a highly competent team of Data Engineers , where you will have the opportunity to bring value to data & participate in enabling data-driven business-critical decisions.

Key responsibilities:

• Thorough experience in Snowflake, DBT and Estuary/Fivetran to become the cornerstone of our team helping the team to become self-servient from technical point of view.
• Develop and maintain data platform through best practices, standards and processes for effective and efficient use. (Our stack comprises of primarily Snowflake, dbt and Estuary with great focus on integrations through webhooks, APIs).
• Create data pipelines to integrate various data sources for automating data deliveries for business critical functions.
• Support Data team’s vision of enabling stakeholders across the organization through data-driven decision making.
• Enable effective data governance, data quality and platform monitoring.

Qualifications

Technical Requirements (Must Have):

• 5+ years of experience in data engineering and platforms, with strong interest in big data analytics and machine learning.
• Practical experience with integration of data from multiple data sources (PostgreSQL, MySQL RDS, MS Dynamics, etc.). We use Estuary/Fivetran, dbt, Snowflake, so experience in this stack is preferable but relevant experience with other similar tools is also valuable and will be considered.
• Experience supporting critical reporting and analytics (such as Finance, Supply Chain, Operations, Marketing, etc)
• Experience in creating API integrations and webhooks for connecting data warehouse to different data sources.
• Experience with technologies like Docker, Git, etc.
• Knowledge of Software engineering and CI/CD principles for developing, deploying, and maintaining end-to-end data pipelines and data solutions using agile practices.
• Skills in programming languages such as SQL and Python

Technical Requirements (Good to Have):

• Data Science and Machine Learning knowledge
• Agentic coding methods and use of modern AI based IDEs (like Cursor)
• Data quality and Infrastructure monitoring tools like Elementary, etc.
• Hands-on experience in complex timeseries data in Retail or related industry.
• Programming in Python, R

Soft Skills Requirements:

• Team player with excellent communication skills to facilitate collaboration across departments.
• Curious, self-driven, solution-oriented individual eager to learn new skills and adapt.

Benefits & perks

• Permanent contract with Inscale
• 14 salaries
• 22 days vacation
• Portugal Holidays
• Health insurance
• Flex benefits
• Career plan

Compensation (gross monthly salary): €4,300 - €5,300 (Senior Level) The role is typically placed at around €4800 gross/monthly, depending on the experience and scope. Final placement within the band is determined by objective assessment against role requirements.