# Senior Data Engineer (AV) at Indrive

> Hybrid · United Arab Emirates · Senior · Data engineering · open. Source: https://alderhq.app/jobs/pinpoint%3Aindrive%3A550655 (read 2026-11-08).

## Facts (observed)

- Company: [Indrive](https://alderhq.app/companies/indrive)
- Location text: United Arab Emirates, Emirate of Abu Dhabi
- Where it can be done from (inferred): Hybrid · United Arab Emirates (evidence: "Location: United Arab Emirates, Emirate of Abu Dhabi")
- Posted: already open when tracking began; date unknown
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://indrive.pinpointhq.com/en/postings/d06be546-854d-4af9-9fab-05e825f934da
- Skills listed (inferred): Python, AWS, GCP, Kubernetes, Docker, Spark, Airflow, SQL

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

About the role

We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models.

### Responsibilities

- Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams
- Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows
- Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data
- Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need
- Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication)
- Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables
### Skills

- 4+ years in data engineering
- Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync
- Experience preparing training datasets for computer vision or autonomous-driving models.
- Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent)
- Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks
- Strong Python and SQL; AWS or GCP, Docker, Kubernetes
Nice to have

- Sensor data formats such as ROS2 bag, MCAP or point clouds
- Parquet, Delta or Iceberg; Databricks
- Argo Workflows or Airflow
- OpenStreetMap and Overture Map
- QGIS
- BigQuery
### Benefits

- Help us challenge injustice by creating fair choices for millions of people across 47 countries.
- Develop your professional skills with access to mentoring, career consulting, and learning programs
- Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
- Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
- Work alongside people who take initiative, speak openly, and challenge themselves to grow
- Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/pinpoint%3Aindrive%3A550655 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.