Analytics Engineer

Planet

. Independently develop Bronze → Silver dbt models following established standards .

Posted 9/29/2026full-timePorto • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing dbt models, applying dimensional modeling concepts, and ensuring data quality through rigorous testing and validation. Proficient in collaborating with stakeholders to meet analytics requirements and enhance documentation standards.

Highest-signal resume keywords

SQL SkillsDbt TransformationsData Warehouse ExperiencePower BI SupportIncremental Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringDimensional ModelingData Quality TestingModel Performance MonitoringRefactoring Models

Soft Skills

Proactive CommunicationKnowledge SharingCollaboration

Tools & Technologies

DbtSnowflakePower BIGitCI Checks

Industry Keywords

Analytics DatasetsBI Use CasesSemantic LayersShared MetricsReporting Requirements

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Independently develop Bronze → Silver dbt models following established standards
Contribute to Gold-layer models and analytics outputs under guidance
Apply dimensional modeling concepts, including facts and dimensions, for analytics and BI use cases
Build, test, and document analytics models using dbt
Refactor models to improve clarity, performance, or consistency
Apply reusable patterns and macros where appropriate
Implement dbt data quality tests, including not-null, uniqueness, and accepted-values tests
Validate data outputs against business logic and expected behaviour
Identify and resolve potential data quality issues with peers
Monitor model performance, warehouse costs, model runs, failures, and anomalies
Work with analysts and stakeholders to understand reporting and data requirements
Communicate progress, risks, and blockers proactively
Own dbt documentation for delivered models and columns
Contribute to team documentation, standards, and playbooks
Suggest improvements to models, tests, and workflows
Support junior engineers through knowledge sharing or informal guidance

Requirements

What you’ll need

3–6 years of experience in analytics engineering, analytics, or a closely related role
Strong SQL skills and experience working with analytics datasets
Practical experience using dbt for transformations, tests, and documentation
Experience working with a modern data warehouse, such as Snowflake
Familiarity with BI and analytics consumption patterns
Exposure to semantic layers or shared metrics
Experience supporting Power BI or similar BI tools
Familiarity with Git-based workflows and CI checks
Understanding of incremental modeling and performance tuning basics

Benefits

Comp & perks

Hybrid work model with three days a week in the office
Equal opportunity employer valuing diversity
Career growth opportunities
Reasonable accommodations for individuals to perform essential functions