Your Mission
We’re one of the fastestgrowing companies in unattended retail tech 150+ people, 5 countries, hundreds of customers, and a product that’s redefining how the world shops.
We are looking for an experienced Data Engineer to join our growing data team.
We’re looking for someone who thrives in a scaleup environment and enjoys solving complex data challenges, and can translate business needs into scalable technical solutions.
As our Data Engineer, you will be responsible for designing, building, and maintaining scalable and efficient data pipelines while ensuring high standards of data quality, integrity, and security. You will work closely with crossfunctional teams to understand data requirements, support advanced analytics and machine learning use cases, and help Boost inc deliver a robust and reliable data. What Youll Do
- Design, build, and optimise scalable data pipelines, handling both batch and realtime streaming workloads across diverse sources.
- Develop and maintain ELT processes, ensuring efficient data extraction, transformation, and integration into the data platform via APIs and other connectors.
- Ensure data quality and security by implementing robust governance policies around data integrity, lineage, and access control.
- Collaborate with crossfunctional teams to gather data requirements and deliver solutions aligned with business objectives.
- Maintain modern development practices, including CICD, infrastructure as code, and performance monitoring to support reliable, scalable data operations.
What Youll Bring
- 2–3 years of handson experience in data engineering with strong Python skills and a solid grasp of ç, data warehousing, and big data platforms like Databricks or Snowflake.
- Deep understanding of core data engineering principles, including ETLELT, structured vs unstructured data, data modeling, data quality, and governance.
- Proven track record of building reliable, wellmonitored data pipelines with high coding standards (clean code, modularity, error handling, testing).
- Experience with cloud platforms (AWS preferred), and familiarity with modern DevOps practices such as Terraform (IaC), CICD pipelines, and streaming technologies like CDC or Spark Structured Streaming.
Why Join Us?
- A remotefriendly position with flexibility to work from Portugal or Croatia.
- Work with a modern cloudbased data platform (Databricks, Spark, ELT pipelines).
- Exceptional learning opportunities. You will be part of a fast growing scaleup with a dynamic team, with the opportunity to learn from a highly talented group
- The usual: budget for personal development.
Apply for this job About us
Boost inc is a global leader in unattended retail technology, redefining traditional vending by transforming it into modern, digital retail experiences. Headquartered in Switzerland, with a dedicated technology hub in the UK, our team of over 150 professionals works across Zurich, London, and offices in four additional countries. Since our founding, we’ve empowered more than 400 customers across Europe and beyond including vending operators, OEMs, and consumer brands with cuttingedge solutions designed to drive operational efficiency, business growth, and engaging consumer experiences.
Here you can find more information:
www.boostinc.com www.boostbar.ch
We are looking for an experienced Data Engineer to join our growing data team.
We’re looking for someone who thrives in a scaleup environment and enjoys solving complex data challenges, and can translate business needs into scalable technical solutions.
As our Data Engineer, you will be responsible for designing, building, and maintaining scalable and efficient data pipelines while ensuring high standards of data quality, integrity, and security. You will work closely with crossfunctional teams to understand data requirements, support advanced analytics and machine learning use cases, and help Boost inc deliver a robust and reliable data.
What Youll Do
- Design, build, and optimise scalable data pipelines, handling both batch and realtime streaming workloads across diverse sources.
- Develop and maintain ELT processes, ensuring efficient data extraction, transformation, and integration into the data platform via APIs and other connectors.
- Ensure data quality and security by implementing robust governance policies around data integrity, lineage, and access control.
- Collaborate with crossfunctional teams to gather data requirements and deliver solutions aligned with business objectives.
- Maintain modern development practices, including CICD, infrastructure as code, and performance monitoring to support reliable, scalable data operations.
What Youll Bring
- 2–3 years of handson experience in data engineering with strong Python skills and a solid grasp of ç, data warehousing, and big data platforms like Databricks or Snowflake.
- Deep understanding of core data engineering principles, including ETLELT, structured vs unstructured data, data modeling, data quality, and governance.
- Proven track record of building reliable, wellmonitored data pipelines with high coding standards (clean code, modularity, error handling, testing).
- Experience with cloud platforms (AWS preferred), and familiarity with modern DevOps practices such as Terraform (IaC), CICD pipelines, and streaming technologies like CDC or Spark Structured Streaming.
Why Join Us?
- A remotefriendly position with flexibility to work from Portugal or Croatia.
- Work with a modern cloudbased data platform (Databricks, Spark, ELT pipelines).
- Exceptional learning opportunities. You will be part of a fast growing scaleup with a dynamic team, with the opportunity to learn from a highly talented group
- The usual: budget for personal development.
Apply for this job About us
Boost inc is a global leader in unattended retail technology, redefining traditional vending by transforming it into modern, digital retail experiences. Headquartered in Switzerland, with a dedicated technology hub in the UK, our team of over 150 professionals works across Zurich, London, and offices in four additional countries. Since our founding, we’ve empowered more than 400 customers across Europe and beyond including vending operators, OEMs, and consumer brands with cuttingedge solutions designed to drive operational efficiency, business growth, and engaging consumer experiences.
Here you can find more information:
www.boostinc.com www.boostbar.ch
- Design, build, and optimise scalable data pipelines, handling both batch and realtime streaming workloads across diverse sources.
- Develop and maintain ELT processes, ensuring efficient data extraction, transformation, and integration into the data platform via APIs and other connectors.
- Ensure data quality and security by implementing robust governance policies around data integrity, lineage, and access control.
- Collaborate with crossfunctional teams to gather data requirements and deliver solutions aligned with business objectives.
- Maintain modern development practices, including CICD, infrastructure as code, and performance monitoring to support reliable, scalable data operations.
- 2–3 years of handson experience in data engineering with strong Python skills and a solid grasp of ç, data warehousing, and big data platforms like Databricks or Snowflake.
- Deep understanding of core data engineering principles, including ETLELT, structured vs unstructured data, data modeling, data quality, and governance.
- Proven track record of building reliable, wellmonitored data pipelines with high coding standards (clean code, modularity, error handling, testing).
- Experience with cloud platforms (AWS preferred), and familiarity with modern DevOps practices such as Terraform (IaC), CICD pipelines, and streaming technologies like CDC or Spark Structured Streaming.
- A remotefriendly position with flexibility to work from Portugal or Croatia.
- Work with a modern cloudbased data platform (Databricks, Spark, ELT pipelines).
- Exceptional learning opportunities. You will be part of a fast growing scaleup with a dynamic team, with the opportunity to learn from a highly talented group
- The usual: budget for personal development.
- Apply for this job
About us
Boost inc is a global leader in unattended retail technology, redefining traditional vending by transforming it into modern, digital retail experiences. Headquartered in Switzerland, with a dedicated technology hub in the UK, our team of over 150 professionals works across Zurich, London, and offices in four additional countries. Since our founding, we’ve empowered more than 400 customers across Europe and beyond including vending operators, OEMs, and consumer brands with cuttingedge solutions designed to drive operational efficiency, business growth, and engaging consumer experiences.
Here you can find more information:
www.boostinc.com www.boostbar.ch
Why Join Us?
What Youll Bring
