Data Engineer – Snowflake, Power BI

Talent Hackers

. Design, develop, and maintain data solutions and processes on Snowflake .

Posted 10/5/2026full-timeSpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing data solutions using Snowflake and Power BI, with a strong command of SQL for data extraction and transformation. Capable of translating business needs into effective reporting and visualization solutions while ensuring data quality and performance optimization.

Highest-signal resume keywords

Snowflake Data SolutionsPower BI DevelopmentSQL ProficiencyData Modeling ExpertiseDAX and Power Query Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Transformation ProcessesBusiness Intelligence SolutionsReporting and VisualizationSemantic ModelsQuery OptimizationDimensional ModelingDirectQuery and Import ModelsCloud EnvironmentsGit and CI/CD

Soft Skills

Autonomous ImplementationCollaboration with TeamsTranslation of Business Needs

Tools & Technologies

Power BI ServiceDataflowsGatewaysDeployment Pipelines

Industry Keywords

Data EngineeringAnalyticsInternational ProjectsStakeholder Interaction

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain data solutions and processes on Snowflake
Build and evolve data pipelines and information transformation processes
Use SQL for data extraction, transformation, and processing
Design and evolve data models for Business Intelligence and Analytics
Develop reporting and visualization solutions using Power BI
Build and maintain semantic models, dashboards, and reports aligned with business needs
Use DAX and Power Query in developed solutions
Optimize queries, models, and processes for suitable performance
Ensure the quality, consistency, and reliability of reporting data
Collaborate with Data Engineering, Analytics, BI, and business teams
Translate functional requirements into data and reporting solutions
Implement solutions autonomously and take responsibility for assigned developments
Participate in international projects and collaborate with teams and stakeholders using English regularly

Requirements

What you’ll need

3–6 years of experience in related Data Engineering, Business Intelligence, or Analytics positions
Practical experience working with Snowflake
Demonstrable experience developing solutions with Power BI
Good command of SQL
Experience with data models oriented toward reporting and analytics
Solid knowledge of data modeling
Experience developing dashboards, reports, and semantic models in Power BI
Knowledge of DAX and Power Query
Ability to work across data, analytics, and visualization layers
Ability to translate business needs into technical solutions
Autonomous profile capable of implementing solutions with little supervision
English level B2/C1, with ability to work in international projects and meetings
Experience with Power BI Service (desirable)
Knowledge of Row-Level Security, gateways, dataflows, or deployment pipelines (desirable)
Experience with DirectQuery and import models (desirable)
Knowledge of Power BI optimization and performance best practices (desirable)
Experience connecting to and exploiting Snowflake data from Power BI (desirable)
Knowledge of dimensional modeling and star-schema architectures (desirable)
Experience in cloud environments and modern Data & Analytics projects (desirable)
Knowledge of Git, CI/CD, Python, or related Data Engineering technologies (desirable)
Previous technology consulting experience or experience working for different clients (desirable)
Experience in international projects and direct interaction with business stakeholders (desirable)

Benefits

Comp & perks

Elevated autonomy and exposure to Data & Analytics projects
Work with reference technologies such as Snowflake and Power BI
Participation in solutions used directly by business teams
End-to-end scope spanning data preparation, modeling, reporting, dashboards, and analytics
Highly specialized data environment
International projects and collaboration with multidisciplinary teams