Job Description

The Pipeline Engineer works as part of the Computing and Software Telescope Operations team to analyse, develop,
operate and maintain the telescope astronomy pipelines and other data analysis products such as the QA matrix. Working with Senior Pipelines Developers and Platform developers, they identify, research and analyse the problem sets, investigate of potential solutions, implement, testing and verification of such solutions.Key Responsibilities:

• Design, develop and improve data processing telescope software and data products.
• Documentation and testing of the pipeline and data processing software
• Support deployment of release by engaging with interfacing teams to perform post-deployment testing
• Respond to system incidents and provide support for the telescope data processing pipelines and software
• Participate in Computing and Software Operations planning and continuous improvement
• Be an integral, senior member of the Computing and Software Operations Teams, providing regular operations support for the telescope's data processing capability
• Establish, maintain and engage in good working relationships with all stakeholders
• Maintain external links with professional and/or specialist bodies, communities or groups.
• Participate in telescope-wide and integration activities and events and represent Data Processing interests and issues
• Represent the organisation and department at international meetings with partner and peer organisations.
• Adhere to the spirit and practice of both organisational Values as well as the Code of Conduct, Health, Safety and
• Environment procedures and policy, Diversity initiatives and Making Safety Personal goals.

Key Requirements:
Qualification:

• A Degree/ Master's/ PhD in astronomy, astrophysics, cosmology, or related, applied/interdisciplinary sciences

Experience:

• A Degree coupled with 4 years relevant working experience; or A Master's Degree coupled with 3 years relevant working experience;
• or PHD coupled with 1 year relevant working experience in astronomy, astrophysics, cosmology, or related, applied/interdisciplinary sciences encompassing development, testing, deployment, commissioning, release and support of scientific software or data analytics projects and developing scientific software using Python and Python libraries or similar languages.

Knowledge:

• Radio astronomy data analysis calibration and imaging techniques and tools
• Radio Astronomy instrumentation and observatory practices
• Performing data-driven astronomy research
• Software development, preferably scientific programming using Python and Python libraries
• Large science data curation, manipulation, transfer, management and archival
• Understanding of system architecture concepts
• Understanding of scaled agile methodologies and DevOps processes
• Knowledge of Systems Engineering and systems delivery practices

Additional Notes:
Related Skills:

• Teamwork and Collaboration: Cooperates with others to achieve organisational objectives. Collaborates with other teams as well as industry colleagues. Sharing skills and knowledge with team members as required.
• Judgement and Problem Solving: Anticipates and manages problems in ambiguous situations. Develops and selects an appropriate course of action and provides for contingencies. Evaluates, interprets and integrates complex bodies of information and draws logical conclusions, synthesises proposals and defends options with reasoned arguments.
• Adaptability: Demonstrates flexibility in thinking and adapts to and manages the increasing rate of organisational change by adjusting strategies, goals and priorities.
• Experience working in interdisciplinary environments and matrix teams during some project phases such as integration, deployment, testing, verification as well as during telescope operations.

Essential:

• Quantitative research skills in a relevant or translatable area
• Radio Interferometer telescopes scheduling, observation and calibration techniques
• Radio astronomy data cleansing, calibration techniques and tools
• Scientific software and pipelines development using Python and Python libraries, e.g. NumPy, SciPy. Matplotlib
• IT and Information systems analysis, design, implementation, integration, delivery and operations
• Agile approaches to systems development
• IT systems architecture concepts
• An understanding of DevOps processes (CI/CD)
• Data curation, transfer, management, archival and governance
• IT Services, Operations and Support

Desirable :

• Experience working with Radio astronomy software packages, e.g. CASA, MeqTREES
• Radio Astronomy data formats and other formal or informal standards
• Radio Astronomy data and science products analysis
• A record of publication of scientific articles in an area of expertise, demonstrating ability to conduct research and collaboration with peers
• Knowledge of Radio Astronomy techniques, instrumentation and observatory practices
• Ability to develop and convey a technical vision to team members
• Working with senior members as a mentee, learning from them and other experts, informally and informally
• Commissioning of scientific instruments
• Ability to work as part of a globally distributed team, which may include travel or accommodating work in different time zones
• Ability to communicate effectively to a wide audience and a wide range of stakeholders
• Ability to reliably estimate and plan software developments with long (multi-year) time horizons
• Health, Safety and Environment
• Organisational governance and administration

TaSiSo Consulting