Data & Integrations Engineer

WIRIS

. Design, build, and maintain ETL/ELT pipelines and analytical data models in AWS .

Posted 10/16/2026full-timeBarcelona • SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL/ELT pipelines and analytical data models in AWS, with strong proficiency in SQL and Python. Capable of building integrations and automations while ensuring data quality and supporting decision-making processes.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentSQL ProficiencyPython ProgrammingAWS Data ArchitectureAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT DevelopmentSQLPythonData TransformationData Quality ChecksData ModelingAutomation DevelopmentIntegration ScriptingAnalytics EngineeringBackend Data Engineering

Tools & Technologies

AWS S3AWS LambdaAWS GlueAWS RedshiftAWS Step FunctionsGitTableauAirflowDockerTerraform

Industry Keywords

Data EngineeringAnalytics EngineeringCRMERPData WarehouseBusiness IntelligenceData AnalyticsData QualityOperational ProcessesCollaborative Workflows

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSCloudDockerERPETLPandasPythonSQLTableauTerraform

About the role

Key responsibilities & impact

Design, build, and maintain ETL/ELT pipelines and analytical data models in AWS
Develop automations, integration scripts, APIs, and scheduled workflows connecting product databases, CRM/ERP, and licensing systems
Prepare and transform structured and semi-structured data for analytics, reporting, and operational processes
Implement data quality checks and troubleshoot production incidents in data flows
Collaborate with the Data Analyst to translate analytical requirements into clean datasets and support internal teams
Make trusted data available for decision-making and enable scalable operational processes across products, business systems, and the data warehouse

Requirements

What you’ll need

3+ years of professional experience in data engineering, analytics engineering, or a backend/data role
Educational background in Computer Science, Engineering, Mathematics, Statistics, Data Science, or equivalent
Strong practical knowledge of SQL and Python, including pandas
Experience with cloud-based data architecture, preferably AWS: S3, Lambda, Glue, Redshift, and Step Functions
Experience using Git and collaborative workflows, including pull requests and CI/CD
Ability to build integrations using APIs, scheduled jobs, and serverless workflows
Fluent in Spanish and English
Nice to have: Knowledge of CRM/ERP such as Salesforce and NetSuite, BI tools such as Tableau, orchestrators such as Airflow, and Docker/Terraform
Disability certification eligibility is supported

Benefits

Comp & perks

Attractive salary + Goal-oriented bonus; related to the company's sales target and team goal
Flexible compensation options: transport, restaurant, kindergarten
Fully covered private health insurance (Sanitas)
Flexible working hours
Hybrid work model, with up to two (2) days per week working from home
23 paid vacation days per year, plus birthday, Christmas Eve, and New Year's Eve off
Training through unlimited access to Udemy Business
In-house English, Catalan, or Spanish lessons
Great work environment in Barcelona city center
Healthy snacks available every day