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Data Engineer
Python

Data Engineer

Gdańsk
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Remote

Tech stack

    Python

    regular

    SQL

    regular

    NoSQL

    regular

    CI/CD

    regular

Job description

Online interview

We have a team of more than 600 experts, who know their stuff. We follow our common sense more often than we use the procedures. And most probably, we play the most fierce table football matches in Wrocław. We develop Enterprise-class software in the atmosphere full of the English sense of humour.


We are a software development company, one of the best in Wroclaw. Our way is to provide quality and a great atmosphere in the office. We are looking for a new colleague: a data enthusiast -passionate about diving deep into volumes of data and drawing conclusions. Such a person interacts easily and communicates well with all process stakeholders: business, technical, and finance, along with information suppliers on the open market. The global objective of this role is to strengthen decision-making so that we can operate based on hard facts rather than intuition.


Your role
:

  • Gathering, collecting, and storing data.
  • Supporting data scientists in doing their job more effectively.
  • Monitoring performance and advising on any necessary infrastructure changes.
  • Managing CI and CD processes (GIT, TeamCity, or similar).
  • Performing batch processing on data (including writing scripts, web scraping, calling APIs, writing SQL queries, implementing ETL process, etc.), also on unstructured data.
  • Selecting and integrating any data tools and frameworks required to provide requested capabilities.
  • Identifying information gaps and looking for other data sets to fill in the blanks – including recognizing data quality issues and addressing them (either by cleaning the data or proposing process changes).
 

You are The One, if you have:

  • Programming experience in Python.
  • Best engineering practices (handling and logging errors, monitoring the system, understanding what is necessary to be scaled up, addressing continuous integration, knowledge of database administration, maintaining data cleaning, ensuring a deterministic pipeline, etc.).
  • Passion for data and software engineering and attention to detail.
  • Ability to communicate in English (both in speech and writing).
  • ood knDowledge of operating systems (Linux Ubuntu Server, Windows Server) and databases (SQL, NoSQL).
  • Experience in the integration of data from multiple data sources.
  • Ability to work both in a team as well as on your own.
  • Experience with CI/CD processes.
 


Why it is worth joining us:

  • We welcome out-of-the box thinking and creativity, and we embrace the culture of knowledge sharing.
  • We have an organisational culture based on knowledge-sharing and friendly help - we do our best to provide support, tools and work environment that you need to excel at what you do.
  • Objectivity is recognised as a Great Place to Work.
  • We make you feel comfortable with us - we provide, among others: English or German classes within working hours, medical care for you and your family or partner, Multisport card (and other benefits)
  • Data & AI is an important area at Objectivity. Our team consists of over a dozen experienced data engineers, Data Scientists, Data Analysts and Architects.
  • We help clients make strategic decisions regarding Data solutions. We consult existing solutions, implement data strategies in the organisation, and bring them closer to being a data-driven organization.
  • We design architectures of analytical solutions that allow clients to process much larger volumes of data and increase analytical capabilities. These solutions are often based on cloud services (Azure, AWS).
  • We implement solutions involving AI applications, some interesting examples include: counting the size of a herd of sheep on satellite photos (http://bit.ly/3bobPL2), or a recommendation engine for a recruitment company (https://bit.ly/3s8erUd).
  • We implement analytical solutions of various scales. From small database solutions to large modern solutions including real-time data, volumes calculated in TB and advanced ML algorithms.