Prolific

4 weeks ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Build scalable data solutions across teams, partnering with data scientists, analysts, AI engineers and product teams in a cloud-native environment. You’ll design and ship data pipelines, APIs, and platform components with a strong emphasis on data quality, privacy, security, and observability while collaborating across disciplines to support analytics and AI workloads.

Location: United Kingdom

Workplace: Remote

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications across internal databases, SaaS sources, and streaming systems.
•Evolve the data platform with infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve.
•Design and implement scalable data infrastructure and data services/APIs that bridge analytical and operational systems.
•Own data quality and observability with monitoring, testing, and alerting to ensure trust in the data.
•Partner with AI engineers, data scientists, analysts, and product teams to understand data needs and design appropriate solutions while upholding privacy and security practices.

Key Requirements

•3+ years building production-grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.).
•Familiarity with cloud-native infrastructure - exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools.
•Experience designing data APIs or services that expose data to applications or a strong interest in working across analytical/operational boundaries.
•A thoughtful approach to data quality, privacy, and security.
•Strong collaboration across teams with different priorities — engineers, data scientists, AI engineers, product.

Experience:3+ yearsData engineeringCloudAIMLAnalytics

Skills:CollaborationProblem-solvingCommunicationAttention to detail

Languages:English

Tech Stack:SQLPythonJavaScalaTerraformKubernetesAirflowDbtArgo

Company Brief

Prolific

Operates an online participant recruitment platform connecting researchers and companies with vetted participants for academic and market research studies, offering survey hosting, participant management, and data quality tools.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn

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Prolific

4 weeks ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 41 minutes agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications across internal databases, SaaS sources, and streaming systems.
•Evolve the data platform with infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve.
•Design and implement scalable data infrastructure and data services/APIs that bridge analytical and operational systems.
•Own data quality and observability with monitoring, testing, and alerting to ensure trust in the data.
•Partner with AI engineers, data scientists, analysts, and product teams to understand data needs and design appropriate solutions while upholding privacy and security practices.

Key Requirements

•3+ years building production-grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.).
•Familiarity with cloud-native infrastructure - exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools.
•Experience designing data APIs or services that expose data to applications or a strong interest in working across analytical/operational boundaries.
•A thoughtful approach to data quality, privacy, and security.
•Strong collaboration across teams with different priorities — engineers, data scientists, AI engineers, product.

Experience:3+ yearsData engineeringCloudAIMLAnalytics

Skills:CollaborationProblem-solvingCommunicationAttention to detail

Languages:English

Tech Stack:SQLPythonJavaScalaTerraformKubernetesAirflowDbtArgo

Company Brief

Prolific

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn