Senior Data Engineer (with ETL expertise)

INNOVECS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Sevilla; Híbrido; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A leading tech company is seeking a skilled Data Engineer to design and implement high-performance data pipelines, optimize systems, and maintain data models. The ideal candidate will have extensive experience in data processing and strong SQL and Python skills. This role offers flexibility in working arrangements and a variety of personalized benefits, ensuring growth and development within a diverse work environment.

Servicios

Personalized benefits based on preferences

Flexible working mode in hybrid teams

Opportunity to work from home or office

Company events and team activities

Mentorship Program and Individual Development Plan

Global certification preparation program

English classes for improvement

Formación

• 5+ years of experience as a Data Engineer or similar backend role.
• Strong proficiency with SQL and TSQL along with Python or Java.
• Solid understanding of cloud platforms (Azure, AWS, or GCP).

Responsabilidades

• Design and implement robust data pipelines and optimize performance.
• Build and maintain data models and warehousing solutions.
• Drive ETL/ELT best practices and ensure compliance standards.

Conocimientos

SQL

TSQL

Python

Java

Data Modeling

Data Governance

Database Normalization

Problem Solving

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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