Senior Data Engineer
Lead Data Engineer - On-site in Dubai π¦πͺ (must be located in the UAE already)
Interested in joining a leading, wellness and lifestyle company as the first Data Engineer in the business in Dubai?
Our client is well-established in the region and have exciting plans for growth from 2025 onwards. We are looking for a Lead Data Engineer to come in and own the business' Data infrastructure. Greenfield, building systems from scratch to optimise the data warehouse.
Unique opportunity to build the data lifecycle end-to-end and form a team in the near future. You will be given the freedom to shape the technical stack and shape the future of the data division within the business π
The ideal candidate will have been in a similar role as the sole Data Engineer in a start-up / scale-up in the B2C space, organizing data, building Data Lakes from scratch and making key decisions around data.
Salary:
AED 30k - AED 35k per month
Stack:
AWS, Python, SQL, S3, BigQuery, Hadoop, Kafka, Spark, Tableau, PowerBI, MongoDB, MySQL
What You'll Do:
- Build and maintain the Data Lake & Data Warehouse
- Design data architecture and continuously enhance architecture
- Lead end-to-end data engineering lifecycle
- Make key decisions around tools and technologies for future growth
- Align closely with Stakeholders in the business to ensure business requirements translate into technical solutions
- Create a culture of data excellence
- Build ETL pipelines from scratch and maintain them
What You'll Need:
- 8+ years of experience in the data engineering space
- Experience in the B2C Marketplace space
- Strong background in sorting through volumes of data and shaping how this data will be utilized to optimize business performance
- Previous experience working on greenfield projects, within start-ups/scale-ups favourable
- Expert knowledge of relational databases and data warehouses (MongoDB, Snowflake, etc)
- Proficient in AWS cloud
- Experienced managing end-to-end data engineering lifecycle
- Strong background working with; Python, SQL, ETL pipelines
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