Data Engineer

Square One Resources
Spain
6 days ago
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Role details

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

Tech stack

Airflow Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Databases Information Engineering Extract Transform Load (ETL) Data Systems Data Warehousing Relational Databases Database Queries
+5 more
Python (Programming Language) SQL Databases Data Processing Google Cloud Data Pipelines

Job description

We are looking for a motivated and technically capable Data Engineer to join our growing team. You will be responsible for building, maintaining and improving data pipelines, ensuring data is accurate, accessible and reliable across our business.

This is an excellent opportunity for a Data Engineer who enjoys working with data, solving technical challenges and collaborating with different teams to deliver high-quality data solutions.

Key Responsibilities

  • Design, develop and maintain scalable data pipelines and ETL/ELT processes.
  • Extract, transform and load data from multiple sources.
  • Build and maintain data warehouses and databases.
  • Ensure data quality, accuracy, consistency and reliability.
  • Write and optimise SQL queries for data processing and reporting.
  • Work with internal teams to understand data requirements.
  • Monitor and troubleshoot data pipelines and resolve issues.
  • Maintain clear documentation of data processes and infrastructure.
  • Support the development of reporting, analytics and business intelligence solutions.

Required Skills & Experience

  • 2+ years of experience in a Data Engineering or similar role.
  • Strong SQL skills and experience working with relational databases.
  • Good knowledge of Python.
  • Experience building and maintaining ETL/ELT pipelines.
  • Understanding of data warehousing and data modelling concepts.
  • Familiarity with cloud platforms such as AWS, Azure or Google Cloud.
  • Experience with tools such as Airflow, dbt or similar is beneficial.
  • Strong analytical and problem-solving skills.
  • Comfortable working independently in a remote environment.

Requirements

  • 2+ years of experience in a Data Engineering or similar role.
  • Strong SQL skills and experience working with relational databases.
  • Good knowledge of Python.
  • Experience building and maintaining ETL/ELT pipelines.
  • Understanding of data warehousing and data modelling concepts.
  • Familiarity with cloud platforms such as AWS, Azure or Google Cloud.
  • Experience with tools such as Airflow, dbt or similar is beneficial.
  • Strong analytical and problem-solving skills.
  • Comfortable working independently in a remote environment.

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