Data Engineer Team Lead at Mize

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

0.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Azure, Databricks, PySpark, Python, SQL, Big Data Frameworks, Cloud Platforms, Data Lakehouse, ETL, ELT, Data Modeling, System Performance Tuning, Collaboration, Communication

Industry

Software Development

Description

Description 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 you'll be no different. What you will do: We’re looking for a hands-on Data Engineer Team Lead to own and drive Mize’s data infrastructure. As the most senior data engineer in a small team, you’ll 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. B.Sc. 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

Responsibilities

The Data Engineer Team Lead will manage a small team of Data Engineers and design scalable data pipelines. They will also own the Data Lakehouse and warehouse integration while collaborating with various teams to support product and analytics needs.