Data Engineer

Flextronics - The Flex Company

Tczew

On-site

PLN 120,000 - 190,000

Full time

11 days ago
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Job summary

Flextronics - The Flex Company in Poland seeks a Data Engineer to support SpinCo, based in Tczew. You will analyze data, build predictive models, and deliver analytics that guide decision-making for digital infrastructure and AI data centers.

This role focuses on data integration, Big Data, dashboards, and collaboration with vendors and internal teams to ensure reliable operations and scalable analytics.

Qualifications

  • Bachelor’s degree in Information Technology, Computer Science, or a related technical field.
  • 2-3 years of experience in IT business analyst function and database administration responsibilities.
  • Good Polish & English language skills.
  • Eligibility to work in Poland.

Responsibilities

  • Participate in implementation and enhancement of business applications and system functionalities.
  • Develop and apply statistical, predictive, and machine learning models for real-time decision-making.
  • Perform data analysis using advanced analytical methods and tools to address business challenges and opportunities.
  • Collect, integrate, and transform structured and unstructured data from multiple sources using Big Data technologies.
  • Design and implement data-driven solutions to identify patterns, optimize processes, and improve business performance.
  • Create, analyze, and maintain reports, dashboards, and data visualizations for internal and external stakeholders.

Skills

Polish & English proficiency
Analytical mindset

Education

Bachelor’s degree in Information Technology, Computer Science, or related field
Data Science/Data Analytics degree desired

Tools

SQL
Python
R
Power BI
Tableau
Azure
AWS

Job description

Job Summary

Flex intends to spin off its Cloud and Power Infrastructure segment into a new, independent publicly traded company, which we’re calling SpinCo, until the name is unveiled. The spin is planned for Q1 2027. If the intended spin occurs, this role will support SpinCo, which will focus on critical digital infrastructure, delivering end-to-end power and thermal management solutions for AI data centers and other mission-critical applications.

We are looking for a new Data Engineer employee to be based in Tczew, Poland.

Primary Objective

Support business decision-making through advanced analytics, Big Data technologies, and predictive modeling while ensuring the reliability, availability, and continuous operation of business applications.

What a typical day looks like:
  • Participate in the implementation and enhancement of business applications and system functionalities.
  • Develop and apply statistical, predictive, and machine learning models to support real-time business decision-making.
  • Perform data analysis using advanced analytical methods and tools to address business challenges and opportunities.
  • Collect, integrate, and transform structured and unstructured data from multiple sources using Big Data technologies.
  • Design and implement data-driven solutions to identify patterns, optimize processes, and improve business performance.
  • Promote data analytics best practices and support the development of analytical capabilities across the organization.
  • Perform day-to-day administration, maintenance, and support of business applications.
  • Collaborate with external vendors, internal consultants, Key Users, and Help Desk teams to ensure seamless system operations.
  • Develop innovative business solutions that improve productivity and user experience.
  • Define and implement procedures and technical solutions to enhance system performance, stability, standardization, and security.
  • Create, analyze, and maintain reports, dashboards, and data visualizations for internal and external stakeholders.
  • Prepare and maintain technical, functional, and process documentation for implemented solutions and analytics initiatives.
The experience/qualification we’re looking to add to our team:
  • Bachelor’s degree in Information Technology, Computer Science, or a related technical field
  • 2-3 years of experience in IT business analyst function and database administration responsibilities
  • Good Polish & English language skills
  • Eligibility to work in Poland
Preferred Qualifications:
  • Degree in Data Science, Computer Science, Information Technology, Mathematics, Statistics, or a related field.
  • Experience with business applications (ERP, MES, HR, Financial Systems).
  • Knowledge of SQL, Python, R, or other data analytics tools.
  • Experience with Big Data platforms and data visualization tools (e.g., Power BI, Tableau).
  • Knowledge of machine learning, predictive analytics, and statistical modeling techniques.
  • Experience with cloud-based data and analytics platforms (Azure, AWS).
  • Microsoft Data & AI, Azure Data Engineer, Power BI, or similar analytics certifications are an advantage.

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Through the collective strength of ~150,000 team members across 30 countries and responsible, sustainable operations, Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career with Flex offers the opportunity to make a difference, invest in your growth, and build great products for our customers that improve people’s lives. Together, let’s create the extraordinary!

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