Senior Data Engineer – 6 Month Contract

Prolific

Senior Data Engineer building scalable data solutions for AI development at Prolific. Collaborating across teams to enhance data infrastructure and maintain data quality in remote setting.

Posted 6/30/2026contractRemote • 🇬🇧 United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, ensuring data quality, privacy, and security while collaborating with cross-functional teams to meet diverse data needs. Proficient in designing scalable data infrastructure and APIs, with a strong commitment to continuous improvement and rigorous testing.

Highest-signal resume keywords

Data Pipeline DevelopmentStrong SQL SkillsProficiency in PythonCloud-Native Infrastructure FamiliarityData Quality and Security Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ToolsData API DesignObject-Oriented ProgrammingData Infrastructure DesignData Services Development

Soft Skills

Collaboration SkillsAnalytical SkillsMeticulous Documentation Approach

Tools & Technologies

AirflowDbtTerraformKubernetes

Industry Keywords

Data PrivacyData SecurityCompliance PracticesML WorkloadsCloud Platform

Tech Stack

Tools & technologies

AirflowCloudJavaKubernetesPythonScalaSQLTerraform

About the role

Key responsibilities & impact

Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications
Evolve our data platform alongside cloud platform engineers
Design and implement scalable data infrastructure
Develop data services and APIs that expose trusted data to product applications
Own data quality and observability
Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs
Uphold strong data privacy, security, and compliance practices

Requirements

What you’ll need

3+ years building and shipping production grade data systems
Strong SQL skills
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
Experience designing data APIs or services that expose data to applications
A thoughtful approach to data quality, privacy, and security
Strong collaboration skills
Hands on experience with data pipeline tools (Airflow, dbt)
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
Ability to work across teams to understand and address diverse data needs
Desire to continually keep up with advancements in data engineering practices and technologies
Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions
Capability to ship medium features independently

Benefits

Comp & perks

Competitive salary
Remote working within our impactful, mission-driven culture