JUNIOR DATA ENGINEER

IMPORTANT.
Read the full details of the offer at https://www.
irisacademic.
om/hiring-profiles/junior-data-engineer.
enefitsSalary range is dependent on experience and in line with industry standards.
days of vacation and an extra holiday on your birthdayFlexible working hours and support for work-life balance.
omplimentary Health insurance included.
pecific bonus tickets are provided to cover either public transportation, childcare, restaurants, or gym memberships.
ou will have a workstation in a shared office and a laptop with the operating system of your choice.
ur office is located in downtown Barcelona, close to Mercat de Santa Caterina and is beautiful and lively.
e cover all work and travel-related expenses.
elocation/moving budget.
e are committed to maintaining an ethical and sustainable working environment.
ontractFull time position (37,5 hours/week).
fter a successful 6-month trial period, the contract will become permanent.
e also offer the possibility of partial remote work.
ow to applySend CV and cover letterto se add the code “JuniorDataEngineer”to the subject of the e-mail.
nly the applications that include both the CV and Cover Letter will be considered in the selection process.
The selection process will unfold in accordance with the following steps and calendar.
fter an initial CV screening, a first interview will be carried out during MayA final round of face to face interviews for selected candidates will happen in late May or early JuneIf selected, you will join SIRIS by the end of June-July Junior Data Engineer for ML/DL/NLP data science in the field of Research and Innovation and Public PolicyYou will help public administrations and governments make more rational and accountable decisions, and support universities and research organisations to focus their research on societal needs and high-impact innovation.
our work will be mainly dedicated to.
ata ingestion.
Collection, preparation, analysis, and management of data sources in the fields of public policy and scientific research and innovation.
This includes data retrieval from remote sources, data scraping, data integration, data cleaning, data matching, and statistical analysis.
achine & deep learning data pipelines.
Assisting in the development of machine learning data pipelines, especially in the area of natural language processing (NLP), to enrich data and support advanced analytics.
pplied data analytics.
Application of advanced analytics and AI tools to manage, refine, and enrich different data sources.
This will aid in evidence-based decision making in strategic processes, the preparation of analytical reports, and the development and updating of data platforms and monitoring systems.
ho you areThe ideal candidate should have.
achelor's or Master's degree in Software Engineering, Computer Science or Engineering.
olid engineering and coding skills, with the ability to write well-crafted, well-tested, readable and maintainable code.
roficiency in Java or Python, ideally both.
xperience in data modelling and demonstrated proficiency in SQL.
nderstanding of ETL/ELT infrastructures and Cloud architecture.
Experience working with APIs.
xperience in data ingestion, custom ETL design, implementation and maintenance.
xperience working with data engineering tools such as Pandas, SciPy, Scikit, Jupyter/iPython notebooks.
roficiency in English plus, ideally, at least one of the following languages.
French, Italian, Spanish, Catalan.
ay close attention to the complexity and uniqueness of the data and adhere to data quality assurance.
ppreciate the importance of good documentation, both internal and external.
e able to work with and improve existing code.
e a fast learner who is not afraid to immerse themselves in new and challenging areas.
e curious and interested in the fields of public policy and research and innovation.
ice to haveWhile you don't need to be a world-class expert in all the technologies listed below, it would be and advantage if you have and understanding and fluency in at least some of them.
ersion-control systems.
Experience in Git, with experience using platforms such as GitHub, GitLab, or Bitbucket.
ontainerization and Infrastructure as Code, including Docker and general CI/CD experience.
ata workflows.
experience with workflow management engines (e.
.
Airflow, Google Cloud Composer).
loud services, familiarity with cloud solutions like Amazon Web Services or Google Cloud Platform.
Experience working with cloud or on-prem Big Data/MPP analytics platform (e.
.
AWS Redshift, Google BigQuery or similar).
emantic web and Linked Open Data (LOD) technologies.
Knowledge of technologies such as SPARQL, RDF, and OWL.
achine Learning libraries.
Prior exposure to machine learning and previous use of libraries like PyTorch, TensorFlow, Scikit-learn, HuggingFace, Gensim, Spacy, and NLTK.
est Driven Development.
Previous experience with unit testing and shift-left approaches to automate data validation.
hese skills are not essential, but they will certainly give you an advantage.
We value the ability to learn and adapt over existing expertise, so if you're enthusiastic about data science and willing to learn, we'd love to hear from you.