Senior Data Software Engineer

We are seeking a Senior Data Software Engineer with deep expertise in data virtualization, storage, processing and streaming  ideal candidate will be passionate about developing software services leveraging data virtualization, data insights and artificial intelligence (AI), with hands‑on experience in Azure Cloud Services to deliver robust, scalable data solutions. Working from the office three days per week is required.

• Engineer solutions focused on data virtualization, distributed processing and cloud‑based large‑scale data storage architecture.
• Design and implement a highly scalable and reliable data distribution solution using Python, Spark and open‑source technologies to deliver data to business components.
• Work with ADLS, Databricks, Kafka, Denodo, data modeling and data replication for handling large data sets.
• Apply clustering, SQL query patterns and indexing techniques to support large‑scale data operations.
• Define technical approaches and determine the appropriate methodologies.
• Collaborate with solution architects and business analysts to define implementation design and coding of assigned modules with the highest quality.
• Apply standards, methods, techniques and templates defined by the SDLC, including code control, code inspection and code deployment.
• Design, plan and deliver solutions in a large‑scale enterprise environment.
• Produce secure and clean code that is stable, operational, consistent and well‑performing.
• Communicate technical analyses, recommendations, status and results effectively to the project management team.
• Operate in a collaborative, multi‑site environment to support rapid development and delivery of results and capabilities (AGILE SDLC).

• 6–9 years of hands‑on experience developing large‑scale applications using data virtualization and/or data streaming technologies.
• Background as a software engineer/developer focused on cloud‑based data virtualization and data delivery technologies.
• Proficiency in Python for coding and development.
• Familiarity with .NET, C# or Java in case of no hands‑on experience in Python.
• Expertise in Python data access libraries (Numpy, Scipy, pandas).
• Knowledge of machine learning frameworks (Tensor Flow) and AI libraries (ChatGPT).
• Skills in designing, planning and delivering solutions in a large‑scale enterprise environment.
• Capability to determine technical approaches and define appropriate methodologies.
• Understanding of AGILE SDLC and ability to work in a collaborative, multi‑site environment.
• Competency in effectively communicating technical analyses, recommendations and results to project stakeholders.
• English proficiency at B2 level or higher.