Senior Data Engineer

INNOVECS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Cádiz; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading technology firm is seeking a Data Engineer to design and implement robust data pipelines and optimize system performance in Cádiz, Spain. The ideal candidate will have over 5 years of experience, strong SQL, and cloud platform knowledge, and will be responsible for building data models and ensuring data quality standards. This role offers flexible working modes and personalized benefits.

Servicios

Personalized benefits based on preferences

Diversity of domains & businesses

Flexible working mode

English classes

Mentorship Program

Global certification preparation programs

Sharing costs of sports activities

Private medical care

Life insurance

Formación

• 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.
• 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.

Responsabilidades

• Design and implement robust data pipelines for structured and unstructured data.
• Optimize system performance for large logistics and operational data volumes.
• Build and maintain data models that support analytics and decision-making.
• Implement data quality, lineage, and observability practices.
• Drive ETL / ELT best practices and automation in data workflows.
• Ensure security, compliance, and privacy standards in data processing.
• Take ownership of production support.

Conocimientos

SQL

TSQL

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.
• 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.
• Company events and team activities.
• Mentorship Program and Individual Development Plan.
• English classes to improve speech and writing skills.
• Global certification preparation programs (AWS, ISTQB, Unity, Scrum, etc.) and online courses on Udemy, Educative, Pluralsight, edX.

Benefits:

• Sharing costs of sports activities.
• Private medical care.
• Sharing costs of foreign language classes.
• Sharing costs of professional training & courses.
• Life insurance.
• Remote work opportunities.
• Flexible working hours.
• Employee referral program.

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