Data Engineer – Python

Location:

Poland, Europe

Tech stack:

Agile, SAFe, Python

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Your responsibilities:

The responsibilities of this person will include development of components using object oriented programming following good coding practices and extensive components testing. Additionally, a person will be involved in the full lifecycle of forecasting application development: from data preparation, through modeling, evaluation, productization to maintenance.

 

We are looking for you, if you have:

 

 

Practical skills required:

  • [must have] 3+ years of professional experience, using Python for machine learning solutions development
  • [must have] understanding of machine learning techniques and algorithms (supervised learning, hybrid models, train/test data sets, overfitting, model evaluation, etc.)
  • [must have] ability to write high quality code in Python
  • [must have] professional experience in object oriented programming
  • [must have] at least basic understanding of time series analysis concept
  • [should have] ability to structure an emerging solution code into well engineered software packages
  • [should have] experience with or willingness to learn time series forecasting methodologies
  • [should have] experience, knowledge or willingness to learn modern Deep Learning frameworks for forecasting
  • [should have] ability to apply unit testing and DevOps / CI/CD / ML engineering techniques
  • [nice to have] experience with Docker

The successful candidate should also:

  • be team-oriented, proactive, and collaborative
  • be an excellent problem solver and analytical thinker
  • be a good communicator
  • be willing to learn and expand their skill set
  • be able to communicate in English at the level of: C1+
  • Degree in Data Engineering, Computer Science, Statistics, Mathematics, Information Systems or other relevant experience
  • of 4 years of overall professional experience including: – at least 4 years of professional experience in Data Science
  • Practical experience in any of the areas: Computer Vision, NLP, Predictive Modelling – Experience should be covered by projects that person delivered
  • Technology-related skills: – SQL databases (intermediate level) – Python or R and related libraries (intermediate level)
  • Very good understanding of Data Science basics: train/test model data sets, overfitting, classification, clustering, etc.
  • Basic experience (ability to use) of technologies supporting building data pipelines: Ansible, Bamboo, Docker, Kubernetes, Git, etc.
  • Knowledge of and experience of working using agile methodologies
  • Responsible, reliable, goal and problem solution-oriented

We offer:

B2B contract and full remote work

We reserve the right to contact the selected candidates.

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Why is it
worth joining TTMS?

1

Flexible working hours

Not everyone is comfortable operating a company during the standard 9 a.m. – 5 p.m. hours. We have been successfully running projects for many years despite diversified work patterns.

2

Possibility of remote work

At TTMS, desk-to-desk work is what drives us, but we understand if someone prefers a remote or hybrid model. We are equipped with all the necessary tools to perform either at home or in the office.

3

Great, non-corporate atmosphere

Professionalism, attention to the quality of work and a friendly, informal atmosphere are not mutually exclusive. A flat structure and natural, friendly relationships create the basis for creativity and innovation.

4

Interesting, international projects

We create solutions for medium and large companies, we are present in Poland, Malaysia, Denmark, the UK, Switzerland, and India – the effects of your work will travel around the world. In TTMS you have an influence on the company’s success.

5

Together towards climate neutrality

We select subcontractors to minimize the carbon footprint, organize bush plantings, save peat bogs – all to achieve climate neutrality in 2025. We are glad that we are attracting more and more people who also care about sustainable development and environmental protection.

6

Friendly offices

Our offices are modern spaces that inspire employees and are environmentally friendly. Białystok is the kingdom of Marvel superheroes, Krakow is a soothing tropical forest, Wrocław is an art gallery, and the Lublin branch is a rock “hall of fame”.

Would you like to work for us?

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