About this opportunity
Surecall Tech lists this Data Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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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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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.