Analytics Engineer

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Take charge of the transformation layer connecting raw data to business decisions.

• Model organizational data using dbt.

• Establish certified metrics utilized throughout the company.

• Set standards for analysts and data scientists.

• Lead the implementation of a top-tier metric layer, which includes modeling conventions, project structuring, testing, CI, and documentation.

• Design and maintain the certified KPI layer for product, finance, and company-wide topics.

• Develop KPI models that are resilient enough to pass audit scrutiny.

• Collaborate with Data Engineering to enhance the data warehouse architecture.

• Work with stakeholders to convert ambiguous questions into reliable, reusable data products.

• Deliver data through AI agents when applicable.

⛳️ Requirements

• Proven experience in building and scaling a dbt project and metrics layer, ideally as one of the initial analytics engineers on an expanding team.

• Expert proficiency in dbt and advanced SQL.

• Solid understanding of dimensional modeling, grain, and incremental patterns.

• Familiarity with BigQuery or a comparable data warehouse.

• Proficient in Python.

• Experienced with BI tools such as Looker.

• Strong focus on data quality, including testing, documentation, and reconciliation.

• Capability to comprehend diverse stakeholder requirements, provide constructive feedback when necessary, and translate them into generalized, well-documented models.

• Ability to work within CET / ET time zones.

• Required experience in dbt project and metrics layer implementation.

• Bonus: experience in modeling billing, subscription, and ARR data using Stripe or Salesforce.

• Bonus: experience in modeling product event data at scale.

• Bonus: experience in serving data to LLM-based agents or creating semantic/metrics layers utilized by AI tools.

• Bonus: experience with Slim CI, data contracts, PII policy tags, and infrastructure-as-code for warehouse access.

🏝️ Benefits

• Annual discretionary professional development stipend.

• Annual discretionary stipend for meeting colleagues.

• Annual company offsite.

• Monthly co-working stipend if not located near a main hub.

• Remote-first work arrangement.

• Option to work from offices in London, Warsaw, Dublin, or New York.