Senior Analytics Engineer Remote Job Opportunity in the United Kingdom
Are you an experienced data professional looking for a rewarding remote career in 2026? A leading technology company, Prolific, is currently hiring a Senior Analytics Engineer to join its growing Data Infrastructure team. This remote job opportunity is ideal for candidates with strong expertise in analytics engineering, SQL, dbt, cloud technologies, and business intelligence.
As organizations continue to invest in data-driven decision-making and artificial intelligence, analytics engineering roles have become some of the most in-demand technology jobs worldwide. This position offers the chance to work with modern data platforms while contributing to innovative AI-related projects from anywhere within the United Kingdom.
About the Company
Prolific is a technology company that helps researchers and organizations collect high-quality human-generated data for research, analytics, and artificial intelligence development. The company is recognized for building ethical and reliable data solutions that support innovation across multiple industries.
By connecting organizations with a diverse global participant network, Prolific plays a key role in improving data quality and enabling more accurate AI systems. The company promotes a remote-first culture, professional growth opportunities, and a collaborative work environment for talented professionals.
Job Overview
Position Details
- Position: Senior Analytics Engineer
- Company: Prolific
- Location: Remote, United Kingdom
- Job Type: Full-Time
- Industry: Data Analytics, Technology, Artificial Intelligence
- Work Arrangement: Remote / Work From Home
- Salary: High and Competitive (Based on Skills and Experience)
Job Description
Prolific is seeking a highly skilled Senior Analytics Engineer to support the company's expanding data infrastructure and analytics capabilities. The successful candidate will play a critical role in designing, developing, maintaining, and optimizing data models that enable accurate reporting and business intelligence across the organization.
This role involves working closely with data teams, engineers, product specialists, and business stakeholders to ensure data systems remain scalable, reliable, and accessible. Candidates should be comfortable handling large datasets, building efficient transformation workflows, and implementing best practices for data governance and quality assurance.
The Senior Analytics Engineer will also contribute to improving analytics frameworks, documenting processes, and mentoring junior team members. Strong communication skills are essential, as the role requires translating technical concepts into meaningful business insights.
Key Responsibilities
Build and Maintain Data Models
- Develop advanced data models using dbt and SQL.
- Design reusable data transformation processes.
- Create custom macros and scalable analytics frameworks.
- Optimize data workflows for performance and efficiency.
Ensure Data Quality
- Implement testing strategies and validation checks.
- Monitor data consistency across multiple systems.
- Improve data reliability through automated quality controls.
- Identify and resolve data issues proactively.
Manage Analytics Infrastructure
- Monitor data pipeline performance.
- Ensure smooth operation of analytics workflows.
- Support business intelligence reporting systems.
- Maintain accurate and up-to-date datasets.
Documentation and Standards
- Create comprehensive technical documentation.
- Establish analytics engineering best practices.
- Promote consistent data modeling standards.
- Improve team knowledge sharing and collaboration.
Collaboration and Communication
- Work closely with product, engineering, and analytics teams.
- Translate complex technical findings into business-friendly insights.
- Support company-wide data initiatives.
- Participate in planning and strategic decision-making.
Mentorship and Leadership
- Guide junior analysts and data professionals.
- Share knowledge on data modeling techniques.
- Promote analytics best practices within the organization.
- Support experimentation and reporting initiatives.
Skills & Qualifications
To succeed in this role, candidates should possess a combination of technical expertise and business understanding.
Required Skills
- Strong experience with SQL and dbt.
- Advanced knowledge of analytics engineering concepts.
- Experience working with cloud platforms such as AWS or Google Cloud Platform (GCP).
- Understanding of data warehouse architecture.
- Knowledge of data transformation and pipeline development.
- Experience implementing data quality testing and validation.
- Strong documentation skills.
- Excellent problem-solving abilities.
Preferred Qualifications
- Experience supporting business intelligence environments.
- Ability to communicate technical concepts to non-technical audiences.
- Experience mentoring junior team members.
- Familiarity with experimentation and analytics frameworks.
- Strong understanding of scalable data infrastructure.
Remote / Work From Home Details
This is a fully remote position based in the United Kingdom. Professionals can work from their home office while collaborating with distributed teams through modern communication and project management tools.
Benefits of this remote role include:
- Flexible work environment.
- Better work-life balance.
- Access to innovative technology projects.
- Opportunity to work with global teams.
- Reduced commuting time and expenses.
- Career growth in a rapidly expanding technology sector.
Candidates should have a reliable internet connection, strong communication skills, and the ability to work independently in a remote setting.
Why This Job is Valuable for Candidates
The demand for analytics engineers continues to grow as businesses increasingly depend on data for strategic decisions. This position provides an excellent opportunity to gain experience in one of the fastest-growing areas of technology.
Key advantages include:
- Work with cutting-edge AI and data technologies.
- Build expertise in modern analytics engineering tools.
- Collaborate with experienced professionals.
- Develop leadership and mentoring skills.
- Contribute to meaningful data-driven projects.
- Enjoy long-term career growth potential.
For professionals seeking high-paying remote technology jobs in 2026, this opportunity offers both professional development and exposure to advanced data infrastructure projects.
How to Apply
Interested candidates can submit their application through the official Prolific careers portal. Applicants should prepare an updated resume highlighting their analytics engineering, SQL, dbt, cloud technology, and business intelligence experience.
Early applications are encouraged as recruitment may close once suitable candidates have been identified.
Frequently Asked Questions
1. Is this a remote job?
Yes. This is a fully remote position for candidates based in the United Kingdom.
2. What skills are most important for this role?
Strong expertise in SQL, dbt, cloud technologies, analytics engineering, and data modeling is highly important.
3. Does the company offer competitive compensation?
Yes. The salary is competitive and based on the candidate's experience, skills, and qualifications.
4. Is prior cloud platform experience required?
Candidates should have experience with cloud platforms such as AWS, GCP, or similar technologies.
5. What industry does this role belong to?
The position is part of the Data Analytics, Technology, and Artificial Intelligence industry sectors.
