About the Company
Surecall Tech is recruiting for a product-led technology company building scalable platforms that support real-time customer experiences. Data is central to its products, business intelligence, and machine learning capabilities.
About the Role
Surecall Tech is seeking a Data Engineer to design, build, and scale cloud-based data infrastructure that supports business intelligence, product insights, and machine learning. This role focuses on developing reliable data pipelines, modern warehouse architectures, and integrated data platforms that enable real-time decision-making.
You will work with data scientists, engineers, and product teams to build production-ready solutions using modern cloud and data technologies. The position offers a remote-first working environment, flexible hours, and opportunities for professional development.
Key Responsibilities
Build robust, scalable batch and real-time data pipelines using technologies such as Spark, Kafka, Airflow, and dbt.
Design and develop data warehouse architectures using Snowflake, BigQuery, or Amazon Redshift.
Develop ETL/ELT solutions to process large volumes of data while maintaining performance, governance, and reliability.
Integrate APIs and external data sources into a unified data platform.
Collaborate with data scientists, engineers, and product teams to deliver useful data insights.
Implement data observability, lineage, and quality frameworks to support data reliability at scale.
Build and maintain production data pipelines in cloud-native environments.
Apply data privacy, security, and governance best practices across data systems.
Required Qualifications
At least 3 years of experience as a Data Engineer working with modern data stacks.
Proven experience building and maintaining production data pipelines.
Experience with event-driven architecture and cloud-native environments.
Proficiency in Python, SQL, and Bash.
Experience with cloud platforms such as AWS or Google Cloud Platform (GCP).
Knowledge of data warehouse technologies such as Snowflake, BigQuery, or Amazon Redshift.
Understanding of data privacy, security, and governance best practices.
Preferred Qualifications / Requirements
Experience with batch and streaming technologies such as Spark, Kafka, or Kinesis.
Familiarity with workflow orchestration and transformation tools such as Airflow and dbt.
Experience with data visualization and business intelligence tools such as Looker, Power BI, or Tableau.
Understanding of schema evolution and approaches to handling poor-quality data.
Salary & Benefits The job listing gives a salary range of £75,000–£95,000 plus benefits in its description. The listing header separately displays USD 75,000–95,000, so the currency should be confirmed.
Additional offerings include
Remote-first work with flexible hours.
A budget for tools, training, and conferences.
A collaborative culture with empowered teams and a focus on professional growth.
Work Location
This is a remote-first, full-time position listed in San Francisco, California. The description states that employees can work from anywhere, with flexible hours.