Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in the field we are committed to delivering real financial value to our extensive network of clients.
Our headquarters are in Tel Aviv and we have offices in Argentina Spain the UK the US and India. Each member of our team is an all-around player who influences the product from the overall experience to the development and youll be no different.
What you will do:
Were looking for a hands-on Data Engineer Team Lead to own and drive Mizes data infrastructure. As the most senior data engineer in a small team youll define our data engineering vision build robust pipelines and systems and partner with Data Science BI Product and Engineering and other teams to power our core products.
Responsibilities
- Manage a small team of Data Engineers
- Design and build scalable pipelines using Azure Databricks and PySpark
- Own our Data Lakehouse and warehouse integration
- Define and implement data engineering best practices
- Collaborate across teams to support product and analytics needs
Requirements:
- Previous experience as a team lead.
- . in Computer Science Engineering or a related field
- 6 years of hands-on experience in Data Engineering with ownership of production pipelines
- Strong in Python SQL and big data frameworks (e.g. PySpark Delta Lake)
- Deep experience with cloud platforms ideally Azure (Databricks Data Factory Blob Storage)
- Proven track record building batch and streaming pipelines in fast-moving environments
- Strong foundation in data modeling ETL/ELT and system performance tuning
- Comfortable operating in high-ambiguity environments with shifting priorities and business needs
- Self-starter who thrives in small teams with a strong sense of ownership
- Excellent collaboration and communication skills
Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in t...
Mize is a dynamic Fintech-travel startup headquartered in Tel Aviv with a global presence in Argentina Spain the UK the US and India. Leveraging cutting-edge technology Mize addresses evolving challenges in the travel industry generating an impressive $12 Billion in sales annually. As a pioneer in the field we are committed to delivering real financial value to our extensive network of clients.
Our headquarters are in Tel Aviv and we have offices in Argentina Spain the UK the US and India. Each member of our team is an all-around player who influences the product from the overall experience to the development and youll be no different.
What you will do:
Were looking for a hands-on Data Engineer Team Lead to own and drive Mizes data infrastructure. As the most senior data engineer in a small team youll define our data engineering vision build robust pipelines and systems and partner with Data Science BI Product and Engineering and other teams to power our core products.
Responsibilities
- Manage a small team of Data Engineers
- Design and build scalable pipelines using Azure Databricks and PySpark
- Own our Data Lakehouse and warehouse integration
- Define and implement data engineering best practices
- Collaborate across teams to support product and analytics needs
Requirements:
- Previous experience as a team lead.
- . in Computer Science Engineering or a related field
- 6 years of hands-on experience in Data Engineering with ownership of production pipelines
- Strong in Python SQL and big data frameworks (e.g. PySpark Delta Lake)
- Deep experience with cloud platforms ideally Azure (Databricks Data Factory Blob Storage)
- Proven track record building batch and streaming pipelines in fast-moving environments
- Strong foundation in data modeling ETL/ELT and system performance tuning
- Comfortable operating in high-ambiguity environments with shifting priorities and business needs
- Self-starter who thrives in small teams with a strong sense of ownership
- Excellent collaboration and communication skills
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