Data Engineer
Summary
Designs and builds scalable Azure data pipelines and analytics solutions for automotive clients, integrating SAP and other sources using Databricks, Azure Data Factory, and PySpark.
Dubai, United Arab Emirates | Posted on 07/21/2026
tech carrotis a leading global ITservice provider and partner in digital transformation offering cost-effective,customer-centric, and cutting-edge digital solutions to clients worldwide.
founded in 2016, tech carrotisheadquartered in Dubai, UAE. Being a people-oriented organization with aphilosophy of "We care" as our core DNA, tech carrotiscontinuallyfocuses on new initiatives and strategies to increase overall employeeexperience by providing a plethora of platforms to drive employee development,overall efficiency, increase overall employee satisfaction. With over 200+technology specialists who are engaged and motivated we are growing at 20% a year-on-year since inception.
We offer cutting-edge services across multipleindustries and deliver seamless customer experiences, ensuring high value andrapid growth for our clients. tech carrothas earned wide recognition as areliable partner for organizations across the globe because of its professionalapproach and strong delivery capabilities. The Middle East and Africa arehandled by UAE operations, while APAC is handled by India operations. We havealso expanded in the USA and the Netherlands as well.
Job Description
- Assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. Develop and support the implementation and integration of these new data sources into our Azure Data platform.
- Perform detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness and business value.
- Required to design, document, develop, implement and test rapid prototypes that demonstrate the value of the data and present them to diverse audiences.
- Required to participate in early state design and feature definition activities.
- Responsible for designing, developing, and implementing robust and scalable data pipelines using the Microsoft Azure data platform and the Azure Databricks ecosystem.
- Responsible for creating reusable and scalable data pipelines
- Act as a team-player while collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
Requirements
- Advanced working knowledge and experience with relational and non-relational databases
- Experience building and optimizing Big Data pipelines, architectures, and data sets
- Strong analytic skills related to working with unstructured datasets
- Expertise in Azure Data factory, Databricks, EventHub, Python, PySpark ,Azure Synapse and SQL.
- Azure DevOps experience mandatory to deploy the data objects.
- 7+ years of experience in the Azure Domain with minimum 5+ years of relevant experience.
- Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
- Automotive domain experience is a must.
- Knowledge/Experience with Azure cloud stack.
- Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.
- Certification on Azure platform toolset will be considered as added advantage
- Bachelor’s degree in Computers or allied field of study.