Scientific Data Engineer

ALBA is the Spanish synchrotron light source, a large research infrastructure operating ten beamlines, complementary facilities, and an Electron Microscopy Center, this last in partnership with other institutions. Currently constructing multiple more beamlines, expanding the Electron Microscopy Center, and integrating advanced data analytics, it sums up a wide range of infrastructures geared toward finding solutions to societal challenges.
Located in Cerdanyola del Vallès (Barcelona, Catalonia, Spain), it is funded by the Spanish Government (Ministerio de Ciencia e Innovación) and the Catalan Government (Generalitat de Catalunya, Departament de Recerca i Universitats). The synchrotron light produced by 3 GeV electrons is used by thousands of researchers to analyse and understand the properties and functionality of matter, spanning a wide variety of fields, such as catalytic research, health, energy production/storage, environmental research, communication technologies, or cultural heritage.
Our highly motivated staff works in a multidisciplinary work environment with an atmosphere formed by lived diversity, inclusion and respect for our colleagues. Located close to Barcelona in a natural park and well connected by car and public transportation, with excellent connectivity to the world and an employer who understands the importance of life-work balance.
Facing an upgrade to ALBA II, a 4th generation facility, which will increase dramatically brightness and coherent flux, ALBA is in a phase of growth and dynamics. Being a part of the ALBA team will promote your career and will give you the opportunities to explore new territories.
For more information, you can take a look on our history watching this video:
The Scientific Data Management (SDM) section addresses the needs in scientific data processing and management, guarantees the data compliance of future implementations and ensures that they are aligned with current data policy and FAIR principles. This is accomplished in close collaboration with other groups of the Computing Division responsible for beamline control, data acquisition, databases and IT systems infrastructure administration. The section is strongly oriented to give close support to Experiments Division (without limiting occasional support to other Divisions) in the following aspects:
- Scientific data processing/analysis software.
- Data pipelines development and optimization.
- Data formats, data analysis, data reduction after experiment acquisition.
- Post-processing visualization tools and workflow engines.
- Data and metadata management.
The Scientific Data engineer reports to the SDM Section head. He/she will develop software related to data processing for the different ALBA user communities and will work in synergy with scientists and other members of the Computing Division to ensure proper processing, storage and provision of data and metadata generated in the different beamlines. Certain tasks will take part in European collaborative projects, which aim at shaping the data management landscape among the different European photon and neutron sources.
The position offers a unique opportunity for professional development in a highly collaborative, international and stimulating work environment.
The position requires fluent speaking and writing of English. If a candidate's English level is lower, the consortium will provide means for reaching the desired level within 6 months.

RequirementsThe requirements for participation must be met on the date of the deadline for the submission of applications and will be accredited by means of the CV attached to it, without prejudice to the power of the selection body to require the contribution of the originals of the certifications accrediting the qualifications, training and work experience invoked in the CV.
Applications that do not present the aforementioned or required documentation during the selection procedure will not be accepted.
Formal Education:
• University degree in Computer Engineering. Alternatively, candidates holding Physics or Engineering degree guaranteeing similar technical capacities as Computer Engineering university degree will also be considered.
• C1 English level required
Experience:
• 2 years of work experience as a software developer in Python, including software testing, version control, clean code practices and participation in multi-developer software projects.
• 2 years of work experience developing data processing pipelines for scientific analysis, involving macromolecular X-ray crystallography.
• 1 year of work experience in data management at a research infrastructure, showcasing expertise in scientific data catalogues (for example ICAT or SciCat) and data formats and standards (for example NeXus / HDF5).

Selection Process DevelopmentThe selection will be carried out through the competition-opposition system.
As a first phase, an analysis of the curriculum will be carried out (assessment of previous experience and / or scientific history, degree, training and other professional information relevant to the position). Career breaks or variations in the chronological order of CVs will be regarded as an evolution of a career, and consequently, as a contribution to the professional development.

The assessment of the CV in the competition phase will be scored up to 40 points, which will consider the following aspects:
• Master or PhD in Computer Engineering or Science (5 points)
• Additional experience (5 points per skill with 3+ years of working experience, maximum 35 points):
? High Performance Computing (HPC) systems or GPU programming.
? Database systems (e.g. MySQL/PostgreSQL, MongoDB, Redis)
? Virtualization, containerization (Docker, Singularity/Apptainer) and workflow engines
? Machine learning algorithms and deep learning
? Jupyter Notebook or JupyterLab/Hub
? Development and integration of Graphical User Interfaces
? Ontologies in OWL/RDFS
The best rated candidates, at least two if possible, will be invited to an interview where the technical competence, knowledge, skills and professional experience linked to the position will be assessed, with a total score of 60 points. A minimum of 30 points must be obtained out of a total of 60 points to be eligible.
Provided they meet the minimum requirements and have ranked among the top five after the assessment of the CV phase, at least one person from the underrepresented gender in the division/office will be interviewed.
The interview will include at least:
• Presentation of professional experience
• Auto-assessment of soft skills
• Vision of the job position
• Motivation for applying
The merits will be accredited by means of the CV attached to the application. The selection board may require accreditation by additional documentation, originals or certified copies confirming the experience invoked in the CV.
In case of a tied final score, the position will be awarded to the person who belongs to the most underrepresented gender in the corresponding Division and subsidiarily to the overall company.
If necessary, alternates of the members of the selection board will be appointed by the president of the selection process, and the change will be published in the announcement.
The resolution of the selection procedure will be carried out within a maximum period of six months from the deadline for submitting applications for participation.
The selection process may be declared vacant if the selection board considers not to have found eligible candidates for the position although they might meet the requirements to participate in the selection process specified in the offer.

Other informationPermanent contract. This selection process is the result of the authorization of a specific replacement rate for CELLS in order to reduce the temporariness rate and to fill the positions on an permanent basis.
The Selection Board is composed by the following members: Oscar Matilla Barceló, Nicolas Soler and Ana Belén Martínez Bonillo.

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