Senior Data Application Engineer | Eu Institutions
Every professional in our company is vital to us. Thanks to their talent, we continue to expand; today, we are a global team of over 11,000 people working toward a common goal.
Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These are strategic technological projects based on collaborative initiatives that stand out for their international focus and a strong commitment to socially oriented results.
We are looking for an experienced Senior Data Application Engineer to join an international environment supporting data-driven platforms for trade analysis and anti-fraud used by European institutions and stakeholders.
Based in Ispra (Italy), with on-site presence two days per week and ad hoc on-site presence on short notice, you will design and build data pipelines and back-end data application components that integrate trade statistics, customs and economic datasets into analytical platforms and dashboards. Working within a multicultural environment, you will collaborate with data analysts, database engineers and software architects to ensure reliable, high-quality and well-documented data solutions.
What you'll do Translate business requirements into functional data specifications together with technical and business stakeholders
Perform exploratory data analysis and data profiling to detect patterns, anomalies and relationships across datasets
Design, implement and maintain data transformation pipelines and data reconciliation processes
Collaborate on analytical data modelling (star/snowflake schemas, dimensional marts) for performance and reporting
Enforce data quality, validation rules,
integrity constraints and automated anomaly detection
Design and maintain analytical workflows on low-code platforms such as KNIME or Dataiku
Design, prototype and maintain back-end data components, microservices and RESTful/SOAP web services in Java EE
Integrate data pipelines and analytical modules into enterprise web application architectures
Write unit, integration and data validation tests
Implement and maintain CI/CD pipelines for data analysis components
Monitor and optimise performance, resource usage and security of data flows
Build prototypes, proofs of concept and dashboards to present analytical findings
Produce technical documentation, architecture diagrams, API specifications and pipeline runbooks
Present analytical results and technical solutions to technical and non-technical audiences What we're looking for University degree corresponding to EQF Level 7 (master's level or 5 years of higher education) and a minimum of 15 years of IT professional experience
At least 10 years of experience programming data-intensive applications and/or performing data analytics
Advanced SQL on relational databases and large analytical stores
Solid experience with Java / Java EE (Jakarta EE), including RESTful and SOAP web services
Strong background in object-oriented design and back-end web application architecture
Hands-on experience building data workflows with KNIME or Dataiku DSS
Working knowledge of Python or R for data analysis, data wrangling and basic machine learning
Solid understanding of data modelling (star and snowflake schemas), ETL/ELT, data lineage and reconciliation
Experience with Git, automated testing and CI/CD pipelines (Git Lab CI, Git Hub Actions or Jenkins)
Ability to write clear technical documentation and to present complex topics to non-technical stakeholders
English language proficiency at B2 level or higher, spoken and written.
Nice to have
Experience with Oracle databases and Tableau or other BI tools
Experience with trade, customs or economic data
Previous experience in European institutions What We Offer:
Prestigious projects within European institutions.
International, innovative, and multicultural environments.
Continuous support from a team of experts in EU projects.
If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you
In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.
Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These are strategic technological projects based on collaborative initiatives that stand out for their international focus and a strong commitment to socially oriented results.
We are looking for an experienced Senior Data Application Engineer to join an international environment supporting data-driven platforms for trade analysis and anti-fraud used by European institutions and stakeholders.
Based in Ispra (Italy), with on-site presence two days per week and ad hoc on-site presence on short notice, you will design and build data pipelines and back-end data application components that integrate trade statistics, customs and economic datasets into analytical platforms and dashboards. Working within a multicultural environment, you will collaborate with data analysts, database engineers and software architects to ensure reliable, high-quality and well-documented data solutions.
What you'll do Translate business requirements into functional data specifications together with technical and business stakeholders
Perform exploratory data analysis and data profiling to detect patterns, anomalies and relationships across datasets
Design, implement and maintain data transformation pipelines and data reconciliation processes
Collaborate on analytical data modelling (star/snowflake schemas, dimensional marts) for performance and reporting
Enforce data quality, validation rules,
integrity constraints and automated anomaly detection
Design and maintain analytical workflows on low-code platforms such as KNIME or Dataiku
Design, prototype and maintain back-end data components, microservices and RESTful/SOAP web services in Java EE
Integrate data pipelines and analytical modules into enterprise web application architectures
Write unit, integration and data validation tests
Implement and maintain CI/CD pipelines for data analysis components
Monitor and optimise performance, resource usage and security of data flows
Build prototypes, proofs of concept and dashboards to present analytical findings
Produce technical documentation, architecture diagrams, API specifications and pipeline runbooks
Present analytical results and technical solutions to technical and non-technical audiences What we're looking for University degree corresponding to EQF Level 7 (master's level or 5 years of higher education) and a minimum of 15 years of IT professional experience
At least 10 years of experience programming data-intensive applications and/or performing data analytics
Advanced SQL on relational databases and large analytical stores
Solid experience with Java / Java EE (Jakarta EE), including RESTful and SOAP web services
Strong background in object-oriented design and back-end web application architecture
Hands-on experience building data workflows with KNIME or Dataiku DSS
Working knowledge of Python or R for data analysis, data wrangling and basic machine learning
Solid understanding of data modelling (star and snowflake schemas), ETL/ELT, data lineage and reconciliation
Experience with Git, automated testing and CI/CD pipelines (Git Lab CI, Git Hub Actions or Jenkins)
Ability to write clear technical documentation and to present complex topics to non-technical stakeholders
English language proficiency at B2 level or higher, spoken and written.
Nice to have
Experience with Oracle databases and Tableau or other BI tools
Experience with trade, customs or economic data
Previous experience in European institutions What We Offer:
Prestigious projects within European institutions.
International, innovative, and multicultural environments.
Continuous support from a team of experts in EU projects.
If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you
In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.