Senior Analytics Engineer

Remote
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AI Summary

We're hiring a Senior Analytics Engineer to join our team in a fully remote role. The role involves designing and maintaining clean, structured data models for analytics and reporting. The ideal candidate will have strong SQL-first mindset and experience with dbt, SQLMesh, or similar tools.

Key Highlights
Design and maintain clean, structured data models for analytics and reporting
Collaborate with stakeholders to ensure data answers real business questions
Apply best practices in data modelling
Key Responsibilities
Design and maintain clean, structured data models for analytics and reporting
Write efficient, scalable SQL to transform raw data into trusted datasets
Collaborate with stakeholders to ensure data answers real business questions
Technical Skills Required
SQL dbt SQLMesh
Benefits & Perks
Fully remote work
100% remote

Job Description


We’re Hiring: Senior Analytics Engineer (Portugal-based candidates only)


We’re looking for an experienced Analytics Engineer to join our team in a fully remote role. This is a unique opportunity to play a key role in shaping how data is modelled, understood, and used across the business turning raw data into meaningful, well-structured insights that drive smarter decisions.


What you’ll be working on

Our data platform is already well established, and we’re now focusing on:

• Building robust, scalable data models that make data intuitive and accessible

• Creating a well-governed data layer balancing performance, usability, and maintainability

• Exploring how to embed AI across the analytics lifecycle

• Designing data systems that enable LLMs to answer natural language questions effectively


What you’ll do

• Design and maintain clean, structured data models for analytics and reporting

• Write efficient, scalable SQL to transform raw data into trusted datasets

• Collaborate with stakeholders to ensure data answers real business questions

• Apply best practices in data modelling (while making smart trade-offs)

• Improve data quality, testing, and documentation

• Help shape how AI is used in analytics workflows

• Think critically about how data structure supports LLM-driven insights


What we’re looking for

• Strong SQL-first mindset

• Experience with dbt, SQLMesh, or similar tools

• Solid understanding of data architecture and modern data stacks

• Strong data modelling skills with practical trade-off awareness

• Experience with cloud warehouses (Snowflake, BigQuery, Redshift, etc.)

• Business-focused thinking — not just how data is built, but how it’s used

• Collaborative, curious, and open to learning


If you’re passionate about data, design, and the future of AI in analytics, we’d love to hear from you.


📩 Apply or reach out directly to learn more!


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