Software Engineer (All levels)

Salary Competitive

Analytics Engines is looking for motivated, adaptable software engineers. The job will involve creating data solutions for customers and developing the company’s XDP platform. The successful applicant must be able to independently research and solve problems. Grade and salary dependent on experience.


Responsibilities (all grades):

- Designing and implementing user-friendly interfaces, applications, and documentation

- Research and implementing existing analytics algorithms or developing new ones to solve customer problems

- Managing and integrating customer and third-party data from variety of sources

- Working with colleagues to design new systems, develop existing technology, or test theoretical designs

- Writing specifications and technical reports and determining operational feasibility

- Writing well designed, testable, efficient code and integrating software components into a fully functional system

- Following defined development processes and complying with project plans and industry standards

- Keeping up to date with developments in technologies and regulations

Responsibilities (higher grades):

- Delivery of data analytics solutions and managing delivery of product roadmaps

- Working with clients to determine requirements, understand their data, create specifications and architectures, understand usage, and run acceptance testing

Key criteria (applicants must satisfy at least two of the following):

- Bachelor or Master’s degree at 2.1 or above (or equivalent), preferably in Computer Science, Engineering, Physics, or Mathematics

- Strong knowledge of programming

- Strong knowledge of data modelling, processing or analytics

- Experience developing in Python, Angular or JavaScript

- Experience of UX/UI design

Desirable criteria:

- Demonstrable data analytic project management experience

- PhD in applicable field or evidence of strong independent learning

- Project management certification (e.g. PRINCE2)

- Experience in SQL, BI Software, or statistical packages

- Demonstrable experience in developing data analytics dashboards or reports

- Understanding and experience of database design and operation

- Expertise in software development methodologies

- Demonstrable experience in developing data analytics dashboard and reporting applications

- Working knowledge of mobile application development methodologies and toolchains

- Familiarity with application testing frameworks

- Experience with cloud or on-premises IT infrastructures/architectures

- Data modelling and analytics experience in R or Python

- Experience with GNU/Linux ecosystem

- Experience of back-end application server design/implementation

- Experience of Big Data tools and ecosystems

 

Perks and benefits

This job comes with several perks and benefits

Free coffee / tea
Free coffee / tea

Maternity / paternity leave
Maternity / paternity leave

Pension plan
Pension plan

Social gatherings
Social gatherings

Near public transit
Near public transit

Working at
Analytics Engines

We are passionate about data and helping our customers get value from their data. Our teams expertise spans engineering, data science, computer science, genetics and personalised medicine.Analytics Engines enables your organisation to easily and quickly adopt Big Data analytics as a core part of your business and accelerate conversion of your data into valuable business insights. Powered by advanced technologies, Analytics Engines are the trusted data analytics partner to local and international customers across industry and the public sector. The company’s collaborative, creative team empowers organisations with market-leading data-driven insights that reduce complexity, optimise performance and build intelligence.  Specialists in data integration, data management, machine learning, AI, the operationalisation of workflows, in-depth analytics and visualisations, Analytics Engines offers: complete end-to-end solution capability software IP for rapid development of data analytics solutions extensive data analytics and machine learning experience a culture of innovation and new technology adoption deep experience in shaping data-driven decision-making for organisations across healthcare, government, biomedical science, media, tourism and higher education. We are passionate about data and helping our customers get value from their data. Our teams expertise spans engineering, data science, computer science, genetics and personalised medicine.The foundation of our strategy is our commitment to hiring and developing the best people.We are excited about what the future holds for our business and are always looking for talented people who want to be part of that. We are always open to receiving applications from the highest quality applicants. If you believe that you have the right aptitude and experience please contact us to discuss opportunities.

Read more about Analytics Engines

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