Data Engineer
Posted 392 days ago, which is unusual. The employer's own board was still carrying it when we last read it, 1 hour ago.
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 392d ago
The date the source published, not the day we noticed it (2025-08-19). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £75k–123.8k/yr
Middle 50% of 62 listings that do state pay — Engineering · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 29d ago · last seen 1h ago
The listing
About Burq
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.
It’s a big mission and now we want you to join us to make it even bigger! 🚀
We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe.
We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.
The Role
As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You’ll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences.
This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities.
What You’ll Do
- Design & Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices).
- Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems.
- Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools.
- Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making.
- Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance.
- Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales.
Requirements
- Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment.
- Technical Skills:
- Proficiency with SQL and at least one programming language (Python, Scala, or Java).
- Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect).
- Hands-on experience with data streaming (Kafka, Kinesis) is a plus.
- Mindset: A builder mentality—comfortable with ambiguity, fast iterations, and working in a small but mighty team.
Benefits
Investing in you 🙏
- Competitive Salary, Stock Options, and Performance-based Bonuses
- Fully Remote
- Comprehensive Medical, Vision and Dental Insurance
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.