Senior Software Engineer

placense, s.r.o.

Place of work
Remote work
Contract type
full-time
Start date
ASAP
Wage (gross)
3 000 EUR/monthChances on quick promotions and bonuses

Information about the position

Job description, responsibilities and duties

Placense is seeking a strong Software Engineer for joining a team of highly talented R&D professionals, who help businesses understand the connection between people’s behavior and physical locations, by turning big data from mobile apps into aggregated and anonymized insights. We apply proprietary machine learning techniques for predicting the quantity and quality of people visiting a given location at a given time. These include metrics such as visit frequencies, visit duration, customer journey paths, customer distribution to gender, age, income levels, modes of transport, and other related socio-demographic characteristics.

As a Software Engineer, you will take part in the company's research and development activities, aimed to build one of the most advanced location intelligence platforms.

Responsibilities
- Communicate with various stake holders across the company, gather and translate business requirements to engineering related activities and processes.
- Master the company’s big data environment and the value it provides to customers, and further grow our data assets in a flexible, secure and scalable fashion, with high performance.
- Perform design and development tasks of both the back end and front end, for growing our offering and platform.
- Apply test driven development for assuring qualitative though agile development process.

Requirements
- First degree in Computer Science/Statistics/Mathematics or related field from known university.
- 5+ years of experience in designing and developing Java enterprise platforms, including Spring boot, Spring MVC, and Spring cloud. Deep understanding of big data architectures and technologies.
- 3+ years of experience in cloud computing, preferred Google Cloud Platform. Good understanding of different micro services principles, patterns, anti-patterns and best practices.
- Experience in containerization and container orchestration tools like OpenShift or Kubernetes.
- Strong analytical abilities and exceptional problem-solving skills.
- Excellent English communication skills – spoken and written.

Advantages
- Experience with GIS systems and libraries.
- Experience with BI platforms.

Employee perks, benefits

- Be part of a fast-scaling company that revolutionizes decision-making in the outdoor world
- Join a multinational team located in Israel, Germany, and Slovakia
- Work remotely, in our co-working space, and wherever you feel comfortable
- Realize projects across countries and verticals, with top management consultancies (e.g. MBB), international retailers and media agencies
- Enjoy attractive salary and promotion opportunities

Requirements for the employee

Candidates with education suit the position

Follow-up/Higher Professional Education
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)

Language skills

English - Advanced (C1)

Personality requirements and skills

Self-starter, fast learner, team player and can-do attitude.

Advertiser

Brief description of the company

Placense is a location analytics company empowering businesses to understand and forecast people’s movement, behaviour and demographics in the outdoor world. We enable consumer-centric decision-making based on data from millions of people - with privacy peace of mind.
Currently catering real estate, retail, energy and media companies, Placense combines proprietary machine learning and anonymization algorithms to create location insights, which are unique in their granularity and privacy protection.
Backed by Innogy Innovation Hub and Nielsen research, the company is well-positioned to become a location analytics leader in the Proptech ecosystem.

https://youtu.be/CugBqNxEjHk

Number of employees

10-19 employees
ID: 4086044  Termin der Veröffentlichung: 21.5.2021  Untergrenze des Gehalts (brutto): 3 000 EUR/month