Senior Data Engineer (with ETL expertise)

INNOVECS POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Valladolid; Híbrido; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

A leading company is seeking a Data Engineer to design and implement scalable data pipelines, optimize system performance, and develop data solutions. The role involves working with various data sources while ensuring data quality and compliance standards. Benefits include flexible working arrangements, personalized growth programs, and opportunities for remote work.

Servicios

Personalized benefits

Flexibility to work from home or office

Company events and team activities

Mentorship Program

Global certification preparation

English classes

Formación

• 5+ years as a Data Engineer or in a similar role.
• Proficiency in SQL and TSQL with Python or Java.
• Strong knowledge of data governance principles.

Responsabilidades

• Design and implement robust, scalable data pipelines.
• Optimize system performance for large data volumes.
• Partner with teams to translate business requirements.

Conocimientos

SQL

Python

Java

Data Modeling

Data Architecture

Problem Solving

Herramientas

Cloud Platforms (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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