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Data Engineer

Prolific - UK Job Board?

United Kingdom

Remote

GBP 40,000 - 80,000

Yesterday
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Job summary

An established industry player in AI innovation is seeking a Data Engineer to build and optimize scalable data pipelines. This role involves collaborating with data scientists and analysts to enhance data workflows and drive impactful insights. You'll be at the forefront of AI development, working with cutting-edge tools and technologies to ensure high-quality data delivery. Join a mission-driven culture that values diverse human perspectives and behaviors in AI, offering competitive salaries and benefits, alongside the flexibility of remote work. If you're passionate about data engineering and eager to make a difference, this opportunity is perfect for you.

Benefits

Competitive salary

Remote working

Benefits package

Impactful culture

Qualifications

  • 2+ years of experience deploying production quality code with Python.
  • Deep understanding of SQL and analytical data warehouses.

Responsibilities

  • Build and maintain robust data pipelines ensuring timely data delivery.
  • Create and maintain APIs for seamless integration between data systems.

Skills

Python

SQL

Data Pipeline Tools

API Development

Data Modelling

Analytical Skills

Documentation

Problem-Solving

Tools

Airflow

dbt

Snowflake

Redshift

Job description

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

We're looking for a Data Engineer to build and optimise scalable data pipelines, ensuring our teams have access to high quality, reliable data. You will work closely with data scientists, analysts and engineers to enhance data workflows and drive impact insights across the business.

What you’ll bring to the role
  • Technical Expertise: 2+ years of hands on experience deploying production quality code with proficiency in Python for data processing and related packages.
  • Data Infrastructure Knowledge: Deep understanding of SQL and analytical data warehouses (Snowflake, Redshift preferred) with proven experience implementing ETL/ELT best practices at scale.
  • Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability.
  • API Development Experience: Ability to design and develop robust data APIs and services that expose data to applications, bridging analytical and operational systems.
  • Data Modelling: Strong data modelling skills and familiarity with the Kimball methodology to create efficient, scalable data structures.
  • Quality Focus: Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews.
  • Documentation: Meticulous approach to creating and maintaining architecture and systems documentation.
  • Collaborative Mindset: Ability to work across teams to understand and address diverse data needs while maintaining data integrity.
  • Growth Orientation: Desire to continually keep up with advancements in data engineering practices and technologies.
  • Problem-Solving: Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions.
  • Independence: Capability to ship medium features independently while contributing to the team's overall objectives.
What you’ll be doing in the role
  • Data Pipeline Development: Build and maintain robust data pipelines from internal databases and SaaS applications ensuring timely and accurate data delivery.
  • Data Warehouse Management: Maintain our data warehouse with high-quality, well-structured data that supports analytics and business operations.
  • System Architecture: Design and implement scalable data infrastructure that accommodates our growing data volume and complexity.
  • Data Service Development: Create and maintain APIs and micro services that expose data to applications, enabling seamless integration between data systems and business applications.
  • Data Quality Assurance: Establish processes and tools to monitor data quality, identify issues, and implement fixes promptly.
  • Technical Documentation: Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing.
  • Cross-functional Collaboration: Work closely with analytics, research, and product teams to ensure their data needs are addressed effectively.
  • Best Practices Implementation: Implement and advocate for data engineering best practices across the organisation.
  • System Scaling: Plan and execute system expansion as needed to support the company's growth and evolving analytical needs.
  • Performance Optimisation: Continuously optimise data pipelines and warehouse performance to improve efficiency and reduce costs.
  • Security and Compliance: Ensure all data systems adhere to security best practices and compliance requirements.
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.

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