Senior Data Engineer
Lisbon IT Campus - Swiss Post
Swiss Post
Wir bewegen die Schweiz. Mit vertrauenswürdigen physischen und digitalen Leistungen. Zu Hause, in der Freizeit und beim Arbeiten.
Are you passionate about knowledge graphs and linked data? Do you want to apply your expertise to implement and enhance a newly established Data Catalog? At Swiss Post, we are integrating diverse data sources into a unified Knowledge Graph to ensure consistent, high-quality metadata across the organization. This role combines the strengths of a developer and a data engineer, working at the forefront of semantic technologies and data integration.
What you can do
− Implement and optimize the data catalog solution using SPARQL, Java, and Python
− Build and optimize data collectors for various sources (Java)
− Enrich and maintain metadata within the Data Catalog
− Implement and monitor data governance policies to ensure compliance with internal and external standards
− Collaborate closely with cross-functional teams to support their adoption of Linked Data principlesWhat you bring with you
− At least 5 years of proven experience as a Data Engineer
− Strong experience across the full ETL pipeline for knowledge graphs: semantic modeling, transformation, enrichment, and ingest into a triplestore.
− Proficient in writing production-grade SPARQL queries
− Advanced programming skills in Java and Python
− Proven experience bringing Knowledge Graph solutions into production environments
− Experience with cloud platforms, especially AWS (e.g., S3, Step Functions, Lambda Functions) is a plus
− Experience with relational database technologies such as Oracle, SQL Server, or SAP HANA (plus)
− Excellent communication skills, with the ability to act as a technical translator for non-technical stakeholders
− Strong analytical thinking to derive insights and support business decision-making
− High attention to detail to ensure data quality and metadata consistency
Education
− University/technical college degree in computer science or comparable.
Language Skills
− English oral and written
− Optional: German oral (and written)
− Willingness to travel
− Hybrid Model: One day a week @office (mandatory).
What you can do
− Implement and optimize the data catalog solution using SPARQL, Java, and Python
− Build and optimize data collectors for various sources (Java)
− Enrich and maintain metadata within the Data Catalog
− Implement and monitor data governance policies to ensure compliance with internal and external standards
− Collaborate closely with cross-functional teams to support their adoption of Linked Data principlesWhat you bring with you
− At least 5 years of proven experience as a Data Engineer
− Strong experience across the full ETL pipeline for knowledge graphs: semantic modeling, transformation, enrichment, and ingest into a triplestore.
− Proficient in writing production-grade SPARQL queries
− Advanced programming skills in Java and Python
− Proven experience bringing Knowledge Graph solutions into production environments
− Experience with cloud platforms, especially AWS (e.g., S3, Step Functions, Lambda Functions) is a plus
− Experience with relational database technologies such as Oracle, SQL Server, or SAP HANA (plus)
− Excellent communication skills, with the ability to act as a technical translator for non-technical stakeholders
− Strong analytical thinking to derive insights and support business decision-making
− High attention to detail to ensure data quality and metadata consistency
Education
− University/technical college degree in computer science or comparable.
Language Skills
− English oral and written
− Optional: German oral (and written)
− Willingness to travel
− Hybrid Model: One day a week @office (mandatory).
Why us?
Just by joining us you will get benefits like:- Open minded company where every employee has to contribute to the development of the company - ideas are welcome as well as independent thinking too
- 25 annual days of vacations
- Flexible working hours
- Annual allowance for Benefits (Training, Gym, Public Transportation, Technologies, etc...)
- An amazing onboarding week at Switzerland
- iPhone 14
- Second Screen to work at home (Flat or a Curved one)
- First month Tech Allowance to buy your headset or, if you already have one, whatever you need to work comfortably
- Health insurance for you and your family
- Life insurance
- Office Perks (coffee, fruit, stand up desks. etc...)
- So much more...
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Computer Science Data governance Data quality ETL Java Lambda Oracle Python RDBMS SQL Step Functions
Perks/benefits: Flex hours Health care
Regions:
Europe
North America
Countries:
Portugal
United States
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