Application Developer with Python - EU Institution in Malta (Hybrid 60% remote)

Who are we?

Trasys International is a dynamic global organization that takes pride in being the trusted partner of EU Institutions. With strong commitment to excellence and a 30-years track record of delivering high-quality solutions, we are dedicated to supporting the growth and success of our clients. Our Mission is to help our clients keep up with the challenges of digital transformation by providing the right talent at the right time for the right job. To this end, we are constantly looking for talented professionals who are interested in working on challenging international projects and able to deliver high-quality results within multicultural environments. Our services include (but are not limited to) modernization of solutions, digital workspaces, cloud technologies and IT security. Our Headquarters are in Brussels and we have active accounts and offices across Europe (i.e. Luxembourg, Amsterdam, Athens, Stockholm, Geneva).

Is this YOU?

For our customer based in Malta - a European Institution, we are looking for an Application Developer to join our team in the area of international protection - supporting Member States in applying the package of EU laws that governs asylum, international protection, and reception conditions.

You need to be based in Malta, and able to work as a freelancer (B2B) without a need for visa/work permit sponsorship from our company.

More specifically, you will be responsible for:

• Data collection: creating pipelines to interact with internal and external databases, including web APIs. Designing, developing, documenting and maintaining processes for data collection, integration, transformation and dissemination, including automation processes.

• Data mining and data analysis: Designing, developing, documenting and maintaining data analytics and statistical analysis products, reports and surveys

• Data processing: Designing, developing, documenting, maintaining and ensuring data quality, data harmonization and cleaning

• Prediction: Developing predictive models, such as machine learning, to identify relevant features and predict future events

• Artificial Intelligence: Designing, developing, documenting and maintaining Artificial Intelligence and machine‑learning solutions, including Natural Language Processing and generative AI techniques, ensuring appropriate data quality, validation and integration with existing data platforms

• Data reporting: Designing, developing, documenting and maintaining BI models, reports, dashboard, security, and automation

• Data visualization: Designing and building interactive and attractive visualizations of data

• Collaborate with data architect/engineer to design, develop, document and maintain data architecture, data modelling and metadata

• Facilitate analysis and integration processes on the overall data ecosystem, including data governance, by working with data providers to fill data gaps and/or to adjust source‑system data structures

• Participation in meetings with the project and data teams

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Are you the perfect match?

• University degree (BSc/MSc).

• Minimum 5 years of experience in IT

• Professional experience with advanced data and statistical analysis, techniques and tools using Python.

• Experience with artificial intelligence and machine‑learning techniques in Python, including natural language processing, generative AI, embeddings and semantic search.

• Ability to create reports, visualisations, and dashboards using Python (e.g., Databricks, Jupyter notebooks, Voilà dashboards) and Power BI.

• Professional experience with development and data processing with Python for structured, semi‑structured and unstructured data types and related file formats (e.g., JSON, Parquet, Delta).

• Knowledge of advanced Power BI Online Services and best governance practices.

• Experience gathering business requirements and transforming them into data‑collection, integration and analysis processes.

• Knowledge of modelling libraries, including OLS regression, generalized linear models and machine‑learning in Python.

• Knowledge of data modelling, principles and methods.
  
  Advantageous:

• Advanced data and statistical analysis, techniques and tools using R.

• Microsoft on‑premises and Azure Data Platform tools (e.g., Azure Data Factory, Azure Functions, Azure Logic Apps, SQL Server, ADLS, Azure Databricks, Microsoft Fabric/Power BI, Azure DevOps, Azure AI Services).

• Databricks ecosystem, Apache Spark, and data‑processing libraries for Python and R.

• SQL, Power Query M and DAX.

• Data‑governance and data‑management standards, policies, processes, metadata and quality controls.

• Data Lakes and Data Lakehouse architecture, concepts and governance.

• Master‑data and reference‑data management concepts.

• Business glossaries, data dictionaries and data catalogues.

• DAMA data‑management best practices and standards.

• Web APIs and the OpenAPI specification.

• Survey tools, for example the EU Survey.