Senior Data Engineer (with ETL expertise)

INNOVECS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Badajoz; A distancia; EUR 35.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology company is looking for a Data Engineer to design robust data pipelines and optimize system performance. This role offers the flexibility to work from home or in the office, along with personalized benefits and opportunities for professional development. Candidates should have a strong background in data management and cloud platforms.

Servicios

Personalized benefits based on preferences

Mentorship Program

English classes

Global certification preparation

Flexible working mode

Company events and team activities

Formación

• 5+ years of experience as a Data Engineer or in a similar backend role.
• Strong proficiency in SQL and either Python or Java.
• Solid understanding of cloud platforms.

Responsabilidades

• Design and implement high-performance data pipelines.
• Optimize system performance for large data volumes.
• Build and maintain data models and warehouses.

Conocimientos

SQL

Python

Java

Data Modeling

Data Architecture

Data Governance

Problem Solving

Herramientas

Azure

AWS

GCP

Descripción del empleo

• Design and implement robust, scalable, and high-performance data pipelines to ingest, process, and serve structured and unstructured data from various internal and external sources (e.g., TMS, WMS, ERP, telematics, IoT).
• Optimize system performance and scalability for large logistics and operational data volumes.
• Build and maintain data models, data marts, and data warehouses / lakes that support analytics and decision-making.
• Partner with the team to translate business requirements into technical data solutions.
• Implement data quality, lineage, and observability practices.
• Drive ETL / ELT best practices, automation, and operational excellence in data workflows.
• Ensure security, compliance, and privacy standards in data processing.
• Take ownership of production support.

requirements-expected :

• 5+ years of experience as a Data Engineer or in a similar backend engineering role.
• Strong proficiency with SQL and TSQL in conjunction with Python or Java.
• Solid understanding of cloud platforms (e.g.,Azure AWS, or GCP).
• Strong grasp of data modeling, data architecture, and data governance principles.
• Strong grasp of data modeling, data architecture, and data governance principles.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong knowledge of database normalization, indexing strategies, and execution plans.

offered :

• Personalized benefits based on your preferences.
• Diversity of domains & businesses.
• Flexible working mode in hybrid teams.
• Opportunity to work from home, office or whenever you want to.
• Company events and team activities.
• Mentorship Program and Individual Development Plan.
• English classes to take your speech and writing to a new level.
• Global certification preparation program (AWS, ISTQB, Unity, Scrum, etc.), and comprehensive online courses on Udemy, Educative, Pluralsight, edX.

benefits :

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• employee referral program

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