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Prolific

Senior Data Engineer

RemoteUnited Kingdom only
Published
Role
Data Engineering
Experience
Senior
Salary not disclosed
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Open to GB only. Set where you work from to check your eligibility.

No BS summary

Senior Data Engineer with 3+ years of experience building production-grade data systems. Requires strong SQL and Python (or Java/Scala) skills, familiarity with cloud-native infrastructure (Terraform, Kubernetes), and experience with data pipeline tools (Airflow, dbt). Must have a thoughtful approach to data quality, privacy, and security, with strong collaboration and problem-solving skills.

Core skills

data pipelinescloud-native infrastructuredata APIs

Required skills

SQLPythonJavaScalaTerraformKubernetesAirflowdbt

Optional skills

IaCcontainer orchestration

Required languages

English

What you'll do

  • Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications - from internal databases, SaaS sources, and streaming systems through to the teams and services that consume them.
  • Evolve our data platform alongside cloud platform engineers, using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve.
  • Design and implement scalable data infrastructure that accommodates our growing data volume and complexity.
  • Develop data services and APIs that expose trusted data to product applications, bridging analytical and operational systems.
  • Own data quality and observability, putting monitoring, testing, and alerting in place so issues are caught early and trust in the data stays high.
  • Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs and design the right solutions – not just the quickest ones.
  • Uphold strong data privacy, security, and compliance practices in everything you build, particularly where data flows into product-facing contexts.
  • Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing.
  • Ensure all data systems adhere to security best practices and compliance requirements.

What they require

  • 3+ years building and shipping 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 - ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters.
  • Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary.
  • A thoughtful approach to data quality, privacy, and security - you understand that how data is used is as important as how it's moved.
  • Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product.
  • A pragmatic, curious mindset - you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works.
  • Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability.
  • Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews.
  • Meticulous approach to creating and maintaining architecture and systems documentation.
  • Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions.
  • Capability to ship medium features independently while contributing to the team's overall objectives.

Benefits

  • competitive salary
  • benefits
  • remote working

Prolific is a marketplace and human data infrastructure platform connecting researchers and companies with a global pool of participants for high-quality, ethically sourced human behavioral data and feedback.

AIStartup
Salary not disclosed