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Senior Analytics Engineer

Jobgether • United Kingdom
Remote
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Transform billions of daily events into reliable, scalable, and actionable data products by designing pipelines, models, and dashboards. Partner with stakeholders to define business metrics and build data solutions that drive confident, data-driven decisions. Requires expert-level SQL, Python, and experience with distributed data systems and modern analytics engineering stacks.

Key Highlights
Work with SQL, Python, and distributed data systems processing billions of events.
Design and maintain scalable data pipelines, models, and dashboards for analytics and reporting.
Fully remote, international environment with a competitive salary of $80,000–$120,000 USD and stock options.
Key Responsibilities
Design, build, and maintain scalable data pipelines and data models that power analytics, reporting, and business decision-making.
Develop dashboards, reports, and analytical tools that make complex behavioral data accessible, reliable, and actionable.
Partner with business and product stakeholders to define, document, and validate meaningful business metrics.
Ensure data quality, consistency, reliability, and performance across systems processing billions of events.
Collaborate with analysts, software engineers, product managers, and other stakeholders to translate business questions into well-designed data models and solutions.
Work extensively with SQL, Python, and distributed data technologies to process and model large-scale datasets.
Build data products that support teams across the organization and, where relevant, customer-facing or embedded analytics experiences.
Take ownership of analytics areas end-to-end, from understanding the underlying business problem through implementation, validation, and ongoing improvement.
Contribute to the evolution of modern analytics infrastructure, modeling practices, orchestration, and data tooling.
Technical Skills Required
SQL Python dbt
Benefits & Perks
Competitive base salary of $80,000–$120,000 USD
Stock options
Fully remote working environment
Unlimited vacation policy
Work-from-home stipend
Apple laptop provided
Annual training and professional development budget
Maternity and paternity leave
Nice to Have
Experience developing customer-facing or embedded analytics
Previous experience working in ecommerce
Interest in working with large-scale behavioral data, search, personalization, AI, or other data-intensive products

Job Description

As a Senior Analytics Engineer, you will transform billions of daily events into reliable, scalable, and actionable data products. You’ll design pipelines, models, dashboards, and analytics tools that enable teams and customers to make confident, data-driven decisions. The role combines advanced technical expertise with strong business and product understanding, ensuring that data solutions answer meaningful questions rather than simply moving or storing information. You’ll work with SQL, Python, and distributed data systems operating at exceptional scale. Collaboration with analysts, engineers, and product managers will be central to translating business needs into high-quality data products. This is an opportunity to work in a remote, international environment at the forefront of large-scale ecommerce, search, personalization, and AI.
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