Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Azure
Elasticsearch
Kibana
Power BI
Tableau
Where the posting names them
- Experience with the Elastic Stack, particularly Elasticsearch and Kibana.
- Experience with Python, PowerShell, or another scripting language.
- Experience working with REST APIs and system integrations.
- Design, develop, and maintain data integrations between business systems and databases.
- Develop and optimize SQL queries, views, stored procedures, and data models.
- Create and maintain interactive dashboards, reports, and data visualizations for business and operational teams.
- 2+ years of experience in Data Engineering, Business Intelligence, Data Analysis, Business Applications, or a similar technical role.
- Strong knowledge of SQL and relational databases.
- Practical experience in building dashboards, reports, and data visualizations.
- Experience working with REST APIs and system integrations.
- Knowledge of Microsoft Azure or other cloud platforms.
- Experience with data pipelines, ETL/ELT processes, and data warehousing.
- Experience with Power BI, Tableau, or similar BI and dashboarding platforms.
- Experience with the Elastic Stack, particularly Elasticsearch and Kibana.
- Experience with Python, PowerShell, or another scripting language.
Nice to Have:
- Experience with Power BI, Tableau, or similar BI and dashboarding platforms.
- Experience with the Elastic Stack, particularly Elasticsearch and Kibana.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
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 at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.
Job Summary



We are looking for a new Data Engineer employee to be based in Tczew, Poland
Summary:
The new employee will support the development of data-driven solutions, reporting, dashboards, and business applications across the organization.
The ideal candidate combines strong analytical and technical skills with a good understanding of business processes and enjoys transforming data into practical solutions that support operational and management decision-making.
What a typical day looks like:
Design, develop, and maintain data integrations between business systems and databases.
Develop and optimize SQL queries, views, stored procedures, and data models.
Create and maintain interactive dashboards, reports, and data visualizations for business and operational teams.
Work with stakeholders to define KPIs, reporting requirements, and data-driven solutions.
Integrate and transform data from multiple sources, including ERP, MES, databases, APIs, and other business applications.
Monitor data quality, consistency, and availability.
Automate repetitive data processing and reporting tasks.
Support and develop business applications used across the organization.
Troubleshoot data, reporting, integration, and application-related issues.
Cooperate with Key Users, IT Support, external vendors, and business departments.
Maintain technical documentation for data integrations, reports, dashboards, and applications.
Continuously improve the performance, reliability, and usability of existing solutions.
The experience/qualification we’re looking to add to our team:
2+ years of experience in Data Engineering, Business Intelligence, Data Analysis, Business Applications, or a similar technical role.
Strong knowledge of SQL and relational databases.
Practical experience in building dashboards, reports, and data visualizations.
Experience working with business data from multiple systems and data sources.
Understanding of data modelling, transformation, and integration concepts.
Experience with ERP, MES, or other enterprise business systems.
Strong analytical and problem-solving skills.
Ability to translate business requirements into technical solutions.
Good communication skills and ability to work directly with business users.
Good command of English and Polish.
Eligibility to work in Ppland (EU)
Nice to Have:
Experience with Power BI, Tableau, or similar BI and dashboarding platforms.
Experience with the Elastic Stack, particularly Elasticsearch and Kibana.
Experience with Python, PowerShell, or another scripting language.
Experience working with REST APIs and system integrations.
Knowledge of Microsoft Azure or other cloud platforms.
Experience with data pipelines, ETL/ELT processes, and data warehousing.
Experience in a manufacturing environment and familiarity with ERP/MES processes.
Knowledge of modern monitoring and data-analysis solutions.
Microsoft, Elastic, or other relevant technical certifications.
What We Offer:
Opportunity to work with data across multiple business and manufacturing systems.
Participation in data integration, reporting, dashboard, and automation projects.
Direct cooperation with business teams and Key Users.
Opportunity to develop skills in Data Engineering, Business Intelligence, cloud technologies, and enterprise applications.
A role combining technical development with real-world business impact.
KS59
TK43
Job Category
IT
Required Skills:
Optional Skills:
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).