Senior Data Application Engineer | EU Institutions
pEvery 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. /p pAyesa Digital is currently participating in high-impact bEuropean Union projects /b 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. /p pWe are looking for an experienced bSenior Data Application Engineer /b to join an international environment supporting bdata-driven /b platforms for trade analysis and anti-fraud used by European institutions and stakeholders. /p pBased in bIspra (Italy) /b, 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. /p h3What you'll do /h3 ul liTranslate business requirements into functional data specifications together with technical and business stakeholders /li liPerform exploratory data analysis and data profiling to detect patterns, anomalies and relationships across datasets /li liDesign, implement and maintain data transformation pipelines and data reconciliation processes /li liCollaborate on analytical data modelling (star/snowflake schemas, dimensional marts) for performance and reporting /li liEnforce data quality, validation rules,
integrity constraints and automated anomaly detection /li liDesign and maintain analytical workflows on low-code platforms such as KNIME or Dataiku /li liDesign, prototype and maintain back-end data components, microservices and RESTful/SOAP web services in Java EE /li liIntegrate data pipelines and analytical modules into enterprise web application architectures /li liWrite unit, integration and data validation tests /li liImplement and maintain CI/CD pipelines for data analysis components /li liMonitor and optimise performance, resource usage and security of data flows /li liBuild prototypes, proofs of concept and dashboards to present analytical findings /li liProduce technical documentation, architecture diagrams, API specifications and pipeline runbooks /li liPresent analytical results and technical solutions to technical and non-technical audiences /li /ul h3What we're looking for /h3 ul liUniversity 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 /li liAt least 10 years of experience programming data-intensive applications and/or performing data analytics /li liAdvanced SQL on relational databases and large analytical stores /li liSolid experience with Java / Java EE (Jakarta EE),
including RESTful and SOAP web services /li liStrong background in object-oriented design and back-end web application architecture /li liHands-on experience building data workflows with KNIME or Dataiku DSS /li liWorking knowledge of Python or R for data analysis, data wrangling and basic machine learning /li liSolid understanding of data modelling (star and snowflake schemas), ETL/ELT, data lineage and reconciliation /li liExperience with Git, automated testing and CI/CD pipelines (GitLab CI, GitHub Actions or Jenkins) /li liAbility to write clear technical documentation and to present complex topics to non-technical stakeholders /li liEnglish language proficiency at B2 level or higher, spoken and written. /li /ul h3Nice to have /h3 ul liExperience with Oracle databases and Tableau or other BI tools /li liExperience with trade, customs or economic data /li liPrevious experience in European institutions /li /ul h3What We Offer: /h3 pPrestigious projects within European institutions. /p pInternational, innovative, and multicultural environments. /p pContinuous support from a team of experts in EU projects. /p pIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you! /p pIn 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. /p #J-18808-Ljbffr
integrity constraints and automated anomaly detection /li liDesign and maintain analytical workflows on low-code platforms such as KNIME or Dataiku /li liDesign, prototype and maintain back-end data components, microservices and RESTful/SOAP web services in Java EE /li liIntegrate data pipelines and analytical modules into enterprise web application architectures /li liWrite unit, integration and data validation tests /li liImplement and maintain CI/CD pipelines for data analysis components /li liMonitor and optimise performance, resource usage and security of data flows /li liBuild prototypes, proofs of concept and dashboards to present analytical findings /li liProduce technical documentation, architecture diagrams, API specifications and pipeline runbooks /li liPresent analytical results and technical solutions to technical and non-technical audiences /li /ul h3What we're looking for /h3 ul liUniversity 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 /li liAt least 10 years of experience programming data-intensive applications and/or performing data analytics /li liAdvanced SQL on relational databases and large analytical stores /li liSolid experience with Java / Java EE (Jakarta EE),
including RESTful and SOAP web services /li liStrong background in object-oriented design and back-end web application architecture /li liHands-on experience building data workflows with KNIME or Dataiku DSS /li liWorking knowledge of Python or R for data analysis, data wrangling and basic machine learning /li liSolid understanding of data modelling (star and snowflake schemas), ETL/ELT, data lineage and reconciliation /li liExperience with Git, automated testing and CI/CD pipelines (GitLab CI, GitHub Actions or Jenkins) /li liAbility to write clear technical documentation and to present complex topics to non-technical stakeholders /li liEnglish language proficiency at B2 level or higher, spoken and written. /li /ul h3Nice to have /h3 ul liExperience with Oracle databases and Tableau or other BI tools /li liExperience with trade, customs or economic data /li liPrevious experience in European institutions /li /ul h3What We Offer: /h3 pPrestigious projects within European institutions. /p pInternational, innovative, and multicultural environments. /p pContinuous support from a team of experts in EU projects. /p pIf you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you! /p pIn 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. /p #J-18808-Ljbffr