Data Engineer
Burq, Inc.1 year ago
Remote, United KingdomMid Level
Responsibilities
- Design and maintain scalable ETL/ELT pipelines for data from internal systems, third-party APIs, and IoT devices.
- Design and implement data models for analytics, machine learning, and operational systems.
- Own cloud-native data infrastructure and architect systems for growing data volume and complexity.
- Collaborate with data scientists, analysts, and software engineers to deliver data products.
- Implement monitoring, validation, governance, security, and compliance practices for data quality.
Requirements
- At least 3 years of experience in data engineering, preferably in a startup or high-growth environment.
- Proficiency with SQL and at least one of Python, Scala, or Java.
- Experience with at least one cloud data warehouse: Snowflake, BigQuery, or Redshift.
- Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect.
- Hands-on experience with data streaming using Kafka or Kinesis is a plus.
- Comfort with ambiguity, rapid iteration, and working in a small team.
Benefits
- Competitive salary, stock options, and performance-based bonuses.
- Fully remote work arrangement.
- Comprehensive medical, vision, and dental insurance.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSAzureGoogle BigQueryGoogle Cloud PlatformJavaPythonScalaSnowflakeSQL
Categories
Data Engineering
About Burq, Inc.
Burq builds a delivery management platform and APIs for enterprises that need reliable last‑mile logistics without stitching together multiple carriers and tools. Its Pulse AI agents automate quoting and carrier selection, dispatch across in‑house and third‑party fleets, routing, batching, exception handling, customer updates, and performance analytics for grocery, floral, and specialty retail. Founded in 2021, the company is privately held and raised a Series A in 2024.