Data Engineer

Plain Concepts

Granada, Spain

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

6 years minimum

Working hours

Regular working hours

Languages

English

Job source

www.buscojobs.com.es

Tech stack

Adobe InDesign Amazon Web Services Microsoft Azure Big Data Cloud Computing Continuous Integration Information Engineering Extract Transform Load (ETL) Data Systems Python (Programming Language) NoSQL Standard Sql

+9 more

Cloud Platform System Snowflake Apache Spark Infrastructure as Code (IaC) Build Management Pyspark Data Analytics Data Pipelines Databricks

Job description

OverviewAs a Data Engineer at Plain Concepts, you will design and build data-driven solutions for diverse clients. You’ll work in cross-functional, agile teams on challenging projects, taking ownership from conception to deployment. You’ll apply modern data tooling to deliver scalable pipelines and robust ETL processes in cloud environments. This role offers remote or office work and opportunities to shape cutting-edge data initiatives in a collaborative, innovation-focused culture.Compensaciones / Beneficios Flexible scheduleFully remote work (optional)Health insurance with dental co-paymentTraining budget and Microsoft certificationsEnglish lessonsBirthday day offResponsabilidades Participate in design and development of data solutions for challenging projectsDevelop projects from scratch with minimal supervision and strong team collaborationFoster best practices, clean and reusable codeDevelop ETLs using Spark (Python/Scala)Work on cloud-based projects (Azure/AWS)Build scalable pipelines using a variety of technologiesRequisitos principales At least 6 years of experience in data engineeringStrong experience with Python or Scala and Spark, processing large datasetsSolid experience in Cloud platforms (Azure or AWS)Hands-on experience building data pipelines (CI/CD)Experience with testing (unit, integration, etc.)Bonus: Databricks, Snowflake, or FabricBonus: Infrastructure as Code (IaC)Knowledge of SQL and NoSQL databasesBonus: fluent EnglishStrong team player mindsetTeam player mindsetGood communicationAdaptabilitySparkPython/ScalaAzure

Requirements

Requisitos principales At least 6 years of experience in data engineering Strong experience with Python or Scala and Spark, processing large datasets Solid experience in Cloud platforms (Azure or AWS) Hands-on experience building data pipelines (CI/CD) Experience with testing (unit, integration, etc.) Bonus: Databricks, Snowflake, or Fabric Bonus: Infrastructure as Code (IaC) Knowledge of SQL and NoSQL databases Bonus: fluent English Strong team player mindset Team player mindset Good communication Adaptability Spark Python/Scala Azure