Analytics Engineer - OpenData

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analytics Engineer - OpenData in United Kingdom.

In this role, you will help power high-quality healthcare and commercial data solutions used across the life sciences industry. You’ll work in a modern, remote-first environment focused on innovation, scalability, and data excellence, contributing to products that directly support analytics, compliance, and business performance. The position combines hands-on engineering with analytical problem-solving, offering exposure to large-scale data pipelines, cloud technologies, and advanced data transformation practices. You will collaborate with cross-functional teams to ensure reliable and accurate data delivery while continuously improving processes and platform performance. This is an excellent opportunity for a technically skilled data professional who enjoys building scalable solutions and working with cutting-edge technologies in a mission-driven environment.

Accountabilities

• Develop, configure, and maintain scalable data crawlers and automated data collection workflows.
• Transform, clean, validate, and model large datasets using Python and SQL to support analytics and operational use cases.
• Integrate extracted data into centralized data platforms while ensuring high levels of quality, reliability, and freshness.
• Create ad-hoc reports, recurring dashboards, and visual reporting solutions to support business insights and customer success.
• Implement data observability, monitoring, and validation processes to improve platform stability and data accuracy.
• Collaborate closely with analytics, engineering, and product teams to deliver robust and efficient data solutions.
• Apply software engineering best practices including version control, code reviews, and scalable development methodologies.
  
  

Requirements

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• 4+ years of experience working with SQL in data analysis or analytics-focused roles.
• 4+ years of hands-on experience using Python for analytics engineering or data processing.
• Strong understanding of data structures, data modeling, and large-scale data transformation techniques.
• Experience building and maintaining scalable crawlers or automated data ingestion pipelines.
• Familiarity with software engineering best practices such as Git workflows and peer code reviews.
• Ability to work independently in a remote environment while collaborating effectively with distributed teams.
• Strong analytical thinking, attention to detail, and problem-solving capabilities.
• Experience with tools such as Redshift, dbt, Polars, Mozenda, or Zyte is considered an advantage.
  
  

Benefits

• Flexible remote-first “Work Anywhere” environment.
• Competitive compensation package including Restricted Stock Units (RSUs).

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• Family health insurance coverage and private pension contributions.
• Fitness reimbursement and wellness support programs.
• Annual charitable contribution allocations.
• Opportunities for career development within a fast-growing global technology environment.
• Inclusive, collaborative culture focused on employee success and innovation.
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.