Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Data Modeling SQL (Programming Language) Data Architecture Google Cloud Platform (GCP) Event Logging Data Transformation Data Maintenance Data Validation AWS Cloud Services Data-Driven Testing gRPC Workflow Application Data Quality Metadata Standards Pipeline Planning Business Intelligence Data Infrastructure Cross-Functional Collaboration Stakeholder Communications

Other Skills

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Accountability
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Communication
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Business Acumen
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Mentorship

Roles & Responsibilities

Expertise in dbt and SQL to design, build, and maintain scalable data models.
Cloud technology knowledge (e.g., AWS, GCP) to manage data infrastructure.
Data accuracy focus with tests/assertions and robust documentation.
Commercial acumen with ability to understand business needs and communicate with non-technical stakeholders; mentorship and best-practice advocacy.

Requirements:

Build complex dbt models, custom macros, and reusable packages; optimize transformations and implement robust testing strategies to ensure data integrity and model performance.
Monitor and maintain dbt workflow jobs; ensure smooth data refreshes and up-to-date pipelines; develop data models for BI analytics and company-level reporting.
Ensure data accuracy by writing tests and assertions to validate data integrity and consistency across models; document and standardize dbt processes.
Collaborate cross-functionally with product, engineering, and BI teams; translate technical data concepts into business terms and mentor junior analysts and data engineers on experimentation and data best practices.

Prolific

Research

About Prolific

Prolific (www.prolific.co) is changing how research on the internet is done. We started by building a marketplace that connects researchers (from both Academia and industry) with instant, high quality, global research participants. Now, as a growing team, the bigger vision is to build the most powerful and trusted platform for behavioral research. Quantitative and qualitative researchers, data scientists, and entrepreneurs all need valid and reliable data sources to make predictions about human behaviour and social change. Thanks to our online platform, researchers collect responses fast and participants earn cash rewards for themselves or for charity. It takes 5 minutes to start data collection, there's no middleman, and the product easily integrates with any survey software. In a world of unreliable results, Prolific makes data trustworthy and connects the public with science.

Company type: Scaleup

Industry: Research

Founded: 2018

Company size: 51 - 200

Website LinkedIn See all jobs →

Job description

Lead Analytics Engineer

Data

Prolific

Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

The role

As a Analytics Engineer in the Data Infrastructure Team at Prolific, you'll be at the forefront of transforming and maintaining Prolific's data infrastructure. Your work will be instrumental in redesigning and scaling our data stack, ensuring data pipelines are robust, efficient, and reliable. By owning and optimizing our analytics codebase, you'll empower our BI-focused teams to deliver valuable insights to the entire organization, while driving data accuracy and accessibility. You'll also bridge the gap between technical and non-technical stakeholders, making sure that complex data solutions are clearly understood and aligned with business goals.

What you’ll bring to the role

Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models.
Cloud Technology Knowledge: Strong familiarity with cloud platforms like AWS, GCP etc
Data Accuracy Focus: Passion for ensuring high data quality through tests/assertions and robust documentation.
Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders.
Mentorship Ability: Advocate for best practices in logging and data modeling that supports robust and effective analysis, reporting , and experimentation.
Collaboration: Skilled at working cross-functionally and translating complex technical concepts into actionable insights for the business.
Process-Driven: Proficiency in designing repeatable and scalable workflows for data transformation.

What you’ll be doing in the role

Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance.
Ownership: Monitoring and maintaining dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines.You will also be responsible for data models for BI analytics & company level reporting
Ensuring Data Accuracy: Writing tests and assertions to validate data integrity and consistency across models.
Documenting and Standardizing: Creating and maintaining thorough documentation of dbt processes to ensure best practices within the BI team.
Translating Complex Data Concepts: Acting as a key communicator, translating technical data issues into understandable business terms for stakeholders.
Mentoring Team Members: Supporting junior analysts and data engineers, especially in setting up experimentation platforms and data best practices.
Collaborating Across Teams: Working closely with the product, engineering, and BI teams to ensure data infrastructure supports evolving business needs.

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

Links to more information on Prolific

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

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