Prolific

3 weeks ago

Senior Data Engineer (6 Month Contract)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and maintain scalable data pipelines and infrastructure that power analytics, ML workloads, and product-facing applications. Partner with data scientists, AI engineers, analysts, and product teams to design trusted data services and APIs while bridging analytical and operational systems. Evolve the cloud-native data platform using Terraform and Kubernetes (Argo), and own data quality, observability, security, and documentation in a privacy-first environment.

Location: London

Workplace: Remote

Employment Type: Contract · 6 months

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications across databases, SaaS sources, and streaming systems.
•Evolve the data platform using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep it scalable and self-serve.
•Design and implement scalable data infrastructure and develop data services and APIs that expose trusted data to product applications.
•Own data quality and observability by implementing monitoring, testing, and alerting to catch issues early.
•Uphold data privacy, security, and compliance practices, and maintain comprehensive documentation of data flows, models, and systems.

Pay and Benefits

Perks:Remote Work

Key Requirements

•3+ years building and shipping production-grade data systems, with strong SQL and proficiency in Python or another object-oriented language (Java, Scala, etc.).
•Familiarity with cloud-native infrastructure, ideally exposure to Terraform and Kubernetes/container orchestration.
•Experience designing data APIs/services or strong interest in working across analytical and operational systems.
•A thoughtful approach to data quality, privacy, and security.
•Hands-on experience with data pipeline tools such as Airflow and dbt, optimizing for performance and reliability.

Experience:3+ yearsData engineeringAICloud-native

Skills:CollaborationProblem-solvingDocumentationIndependenceQuality mindset

Languages:English

Tech Stack:SQLPythonJavaScalaTerraformKubernetesIaCArgoAirflowDbt

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

3 weeks ago

Senior Data Engineer (6 Month Contract)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Contract · 6 months

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications across databases, SaaS sources, and streaming systems.
•Evolve the data platform using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep it scalable and self-serve.
•Design and implement scalable data infrastructure and develop data services and APIs that expose trusted data to product applications.
•Own data quality and observability by implementing monitoring, testing, and alerting to catch issues early.
•Uphold data privacy, security, and compliance practices, and maintain comprehensive documentation of data flows, models, and systems.

Pay and Benefits

Perks:Remote Work

Key Requirements

•3+ years building and shipping production-grade data systems, with strong SQL and proficiency in Python or another object-oriented language (Java, Scala, etc.).
•Familiarity with cloud-native infrastructure, ideally exposure to Terraform and Kubernetes/container orchestration.
•Experience designing data APIs/services or strong interest in working across analytical and operational systems.
•A thoughtful approach to data quality, privacy, and security.
•Hands-on experience with data pipeline tools such as Airflow and dbt, optimizing for performance and reliability.

Experience:3+ yearsData engineeringAICloud-native

Skills:CollaborationProblem-solvingDocumentationIndependenceQuality mindset

Languages:English

Tech Stack:SQLPythonJavaScalaTerraformKubernetesIaCArgoAirflowDbt

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