Unknown Company

Data Engineer

san francisco, ca • Posted 3 days ago
Remote Full Time IT & Technology

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Entrepreneur & Recruitment Director | Building High-Performing Teams | Cutting Costs & Securing Top Tech Talent

Data Engineer | Cloud-Native | High-Impact Products | Remote | £75,000 – £95,000 + Benefits

One of the Most In-Demand Data Engineering Roles on the Market Right Now

We’re partnered with a fast-scaling, product-led tech company that’s making serious waves in their industry, and data is at the core of it all. They’re building smarter, scalable platforms that help customers in real-time, and now they’re looking for a Data Engineer who can help architect the systems that make that possible.

This is not just another data team hire, you’ll be pivotal in designing, building, and scaling cloud-based data infrastructure that powers critical business intelligence, product insights, and machine learning.

What You’ll Be Working On:

  • Building robust, scalable data pipelines (batch + real-time) using Spark, Kafka, Airflow, dbt
  • Designing warehouse architectures on Snowflake, BigQuery, or Redshift
  • Developing ETL/ELT solutions that transform billions of records with performance and governance in mind
  • Integrating APIs and external data sources into a unified data platform
  • Partnering cross-functionally with data scientists, engineers, and product teams to deliver value-driven insights
  • Implementing data observability, lineage, and quality frameworks to support growth at scale

️ The Tech You’ll Use:

  • Cloud: AWS or GCP
  • Warehousing: Snowflake, BigQuery, Redshift
  • Streaming: Kafka, Kinesis
  • Languages: Python, SQL, Bash

What We're Looking For:

  • 3+ years of experience as a Data Engineer working with modern data stacks
  • Proven experience building and maintaining pipelines in production
  • Experience with event-driven architecture and cloud-native environments
  • A keen understanding of data privacy, security, and governance best practices
  • Bonus points for experience with tools like Looker, Power BI, or Tableau
  • High-impact role: Your work directly supports real-time decision-making for thousands of users
  • Modern stack: No legacy systems, no duct tape – build the right way from the start
  • Remote-first: Work from anywhere, with flexible hours
  • Backed for growth: You’ll have a budget for tools, training, and conferences
  • Culture-led: Empowered teams, low ego, lots of collaboration

Screening Questions:

  • Describe a complex pipeline you’ve built – what made it challenging?
  • How have you used streaming technologies like Kafka or Kinesis?
  • What’s your go-to stack for building a modern data platform, and why?
  • Have you worked with dbt or Airflow in a production setting?
  • What’s your approach to handling schema evolution and bad data?

If you're ready to take on one of the most high-impact and in-demand Data Engineering roles out there, with a company that genuinely puts data at the centre of product and strategy — get in touch or apply now.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Product Management and Information Technology
  • Industries

    Technology, Information and Internet

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