Senior Data Engineer

Plain Concepts
Huelva, Spain
2 days ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Adobe InDesign Agile Methodology Amazon Web Services Microsoft Azure Big Data Cloud Computing Continuous Integration Information Engineering Extract Transform Load (ETL) Data Transformation Data Systems Python (Programming Language)
+6 more
NoSQL SQL Databases Snowflake Apache Spark Build Management Data Pipelines

Job description

OverviewIn this Data Engineer role, you will design and build data solutions within our international data squad, delivering impactful, scalable pipelines. You collaborate across multidisciplinary teams in an AGILE environment, taking ownership from design to deployment. You’ll work on cutting-edge data-powered projects using modern tech to advance client solutions. This role offers flexible work from home or in-office, with a strong emphasis on practical impact and continuous learning.Compensaciones / Beneficios Flexible scheduleFully remote work (optional)Flexible compensation (restaurant, transport, childcare)Health insurance with dental co-paymentTraining budget and Microsoft certificationsEnglish lessonsResponsabilidades Participate in design and development of data solutions for challenging projectsDevelop projects from scratch with strong team collaborationPromote best practices, clean and reusable codeBuild ETLs using Spark (Python/Scala)Work on cloud-based projects (Azure/AWS)Build scalable data pipelines using various technologiesContribute to CI/CD for data pipelinesEngage in testing (unit, integration) and data transformation workflows with DBTRequisitos principales 4+ years of data engineering experienceProficiency in Python or Scala and Spark for large datasetsSolid experience with cloud platforms (Azure or AWS)Experience with SnowflakeHands-on data pipeline developmentExperience with testing (unit, integration)Experience with DBT for data transformation and modellingDBT core/cloud knowledgeSQL and NoSQL knowledgeFluent English (bonus)Strong team player mindsetteam collaborationproactive communicationproblem-solvingPythonScalaSpark

Requirements

Requisitos principales 4+ years of data engineering experience Proficiency in Python or Scala and Spark for large datasets Solid experience with cloud platforms (Azure or AWS) Experience with Snowflake Hands-on data pipeline development Experience with testing (unit, integration) Experience with DBT for data transformation and modelling DBT core/cloud knowledge SQL and NoSQL knowledge Fluent English (bonus) Strong team player mindset team collaboration proactive communication problem-solving Python Scala Spark

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Good distractions

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