Senior Cloud Data Engineer

Who we are

We’re on a mission to transform how fleets operate, using cutting-edge camera technology, AI, machine learning and telematics to make roads safer and businesses smarter.

As an award-winning SaaS company in a high-growth phase, we’re scaling fast and expanding into new markets worldwide. Our technology gives fleet operators real-time visibility, reduces risk, improves efficiency, and helps set new safety standards across the industry.

Join a global, ambitious team and be part of what's next!

The role

You'll join the data team building and operating the data platform behind our fleet telematics products — ingestion pipelines, alerting and reporting systems, and customer-facing data features at production scale on AWS. You'll own critical workstreams end-to-end: from architecture and design docs through implementation, deployment, and production monitoring.

What you'll do

•Streaming & batch pipelines: Kinesis-based event ingestion, Flink processing, EMR batch reprocessing/replay, and Airflow-orchestrated ETL for customer reports

•Data reliability & quality: deduplication, schema validation, data completeness checks, and root-cause investigation of data quality issues in customer-facing reports

•Data observability: building out Grafana “mission control” dashboards with recency/frequency KPIs across alerts, trips, ingestion, and reporting

•Data lifecycle & compliance: manifest-driven data retention enforcement across heterogeneous stores (RDS, DynamoDB, S3, OpenSearch), per-org retention policies, and audit trails

•Performance & cost engineering: RDS reader/writer routing, query optimization, OpenSearch shard/index tuning, and AWS cost optimization across Lambda, DynamoDB, and S3

How the Team works

•Sprint-based delivery with daily standups, ticket triage, and design sessions

•Remote-first with structured collaboration; AI-assisted development actively encouraged

•Small senior team where your work ships to production and directly affects customers

What we’re looking forEssential:

•5+ years in data engineering or backend engineering with heavy data focus

•Strong Python; production experience with AWS Lambda and serverless patterns

•Deep SQL and relational database skills (PostgreSQL/MySQL) — query optimization, partitioning, locking behavior

•Hands-on with at least several of: Kinesis (or Kafka), Airflow, Flink, EMR/Spark, DynamoDB, OpenSearch/Elasticsearch

•Experience debugging data quality issues in production and building validation/monitoring to prevent recurrence

•Comfortable owning ambiguous problems end-to-end: writing design docs, scoping tickets, and driving to deployment

Nice to have:

•Grafana/CloudWatch observability tooling; Athena federated queries

•Data retention, GDPR/compliance-driven data lifecycle work

•Exposure to LLM/GenAI tooling (RAG, knowledge bases, eval frameworks like LangFuse)

•Telematics, IoT, or high-volume time-series data domains

•AWS cost optimization experience (reserved capacity, instance right-sizing)

Why join ?

• A genuinely impactful role, building the data platform behind products that help fleet operators improve safety, efficiency and compliance.

• A collaborative, ambitious team, working alongside a small, senior engineering team where ideas are encouraged, collaboration is valued and AI-assisted development is embraced.

• The opportunity to make a visible impact quickly. By owning meaningful data engineering challenges end-to-end, with the autonomy to shape solutions and see your work go directly into production.

• The chance to work with modern technology at scale. Getting hands-on with AWS, Python, streaming and batch data processing, observability and high-volume data systems.

• Grow with a scaling global business as our products, customers and markets continue to expand.