Mindelo, Porto, Portugal
Actively hiring, first seen by us 8 hours agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and maintain data pipelines that ingest supply chain data from source systems such as SAP, transportation and warehouse management platforms, and supplier feeds.
Design and implement data harmonization logic to standardize inconsistent formats, units, material and vendor codes, and reference data across regions and business units.
Develop and manage integrations between operational systems and the central data platform, including batch and near-real-time flows.
Primary Responsibilities Build and maintain data pipelines that ingest supply chain data from source systems such as SAP, transportation and warehouse management platforms, and supplier feeds. Design and implement data harmonization logic to standardize inconsistent formats, units, material and vendor codes, and reference data across regions and business units.
Build and maintain data pipelines that ingest supply chain data from source systems such as SAP, transportation and warehouse management platforms, and supplier feeds. Design and implement data harmonization logic to standardize inconsistent formats, units, material and vendor codes, and reference data across regions and business units. Develop and manage integrations between operational systems and the central data platform, including batch and near-real-time flows.
Design and implement data harmonization logic to standardize inconsistent formats, units, material and vendor codes, and reference data across regions and business units. Develop and manage integrations between operational systems and the central data platform, including batch and near-real-time flows. Model raw and conformed data into well-structured, documented tables in the data warehouse or lakehouse.
Strong SQL and proficiency in Python (or a comparable language) for data processing.
Hands-on experience building ETL/ELT pipelines and working with a cloud data warehouse or lakehouse in Azure or using MS Fabric. Similar tools like Snowflake, BigQuery, Databricks or similar are helpful.
Experience integrating data from ERP systems, ideally SAP, and familiarity with supply chain or manufacturing data.
Experience with orchestration tools (Airflow, dbt, or similar) and version control (Git).
Understanding of data modeling concepts and data quality practices.
Ability to work with messy, inconsistent source data and turn it into something trustworthy.
Experience with data harmonization or master data management (MDM).
Familiarity with streaming or near-real-time data.
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- +6 years of experience in data engineering or a closely related role. - Strong SQL and proficiency in Python (or a comparable language) for data processing. - Hands-on experience building ETL/ELT pipelines and working with a cloud data warehouse or lakehouse in Azure or using MS Fabric. Similar tools like Snowflake, BigQuery, Databricks or similar are helpful.
- Strong SQL and proficiency in Python (or a comparable language) for data processing. - Hands-on experience building ETL/ELT pipelines and working with a cloud data warehouse or lakehouse in Azure or using MS Fabric. Similar tools like Snowflake, BigQuery, Databricks or similar are helpful. - Experience integrating data from ERP systems, ideally SAP, and familiarity with supply chain or manufacturing data.
- Experience integrating data from ERP systems, ideally SAP, and familiarity with supply chain or manufacturing data. - Experience with orchestration tools (Airflow, dbt, or similar) and version control (Git). - Understanding of data modeling concepts and data quality practices.
Primary Responsibilities - Build and maintain data pipelines that ingest supply chain data from source systems such as SAP, transportation and warehouse management platforms, and supplier feeds. - Design and implement data harmonization logic to standardize inconsistent formats, units, material and vendor codes, and reference data across regions and business units.
- Hands-on experience building ETL/ELT pipelines and working with a cloud data warehouse or lakehouse in Azure or using MS Fabric. Similar tools like Snowflake, BigQuery, Databricks or similar are helpful. - Experience integrating data from ERP systems, ideally SAP, and familiarity with supply chain or manufacturing data. - Experience with orchestration tools (Airflow, dbt, or similar) and version control (Git).
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
As the largest pureplay adhesives company in the world, H.B. Fuller’s (NYSE: FUL) innovative, functional coatings, adhesives and sealants enhance the quality, safety and performance of products people use every day. Founded in 1887, with 2025 revenue of $3.5 billion, our mission to Connect What Matters is brought to life by more than 7,100 global team members who collaborate with customers across more than 30 market segments in 150 countries to develop highly specified solutions that enable customers to bring world-changing innovations to their end markets. Learn more at www.hbfuller.com.
H.B. Fuller Portugal is a strategically important site that combines manufacturing operations with a broad range of global and regional support functions, including Finance, HR, IT, Legal, Sourcing, Supply Chain, Sales, R&D, Customer Service, and Operations. Supporting multiple regions around the world, the site offers employees unique opportunities for international exposure, cross-functional collaboration, internal mobility, and continuous career development within a globally connected environment. This commitment to employee growth and workplace culture has earned H.B. Fuller recognition as a Great Place to Work®.
H.B. Fuller is building a new data team to modernize how we manage and move supply chain data across our global operations. As a Data Engineer, you will own the pipelines and integrations that bring together data from ERP, warehouse, logistics, procurement, and manufacturing systems, and harmonize it into clean, trusted, reusable datasets that the rest of the business can build on.
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H.B. Fuller is an Equal Employment Opportunity employer and proud to have created a collaborative culture where employees around the world are seen, heard, and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or marital status or status as a protected veteran, or any other legally protected classification.
H.B. Fuller does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with H.B. Fuller, a written service agreement must be executed by Human Resources prior to submitting any information relating to a potential candidate. Without a signed service agreement, H.B. Fuller shall not be obligated for payment of any fee or compensation.
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Mindelo, Porto, Portugal
#LI-AL1 #LI-Hybrid H.B. Fuller is an Equal Employment Opportunity employer and proud to have created a collaborative culture where employees around the world are seen, heard, and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or marital status or status as a protected veteran, or any other legally protected classification.
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