All offersWrocławDataData Engineer
Data Engineer
Data
MasterBorn Sp. z o.o.

Data Engineer

MasterBorn Sp. z o.o.
Wrocław
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    ETL
    advanced
    English
    advanced
    SQL
    advanced
    Polish
    regular
    Python
    junior

Job description

Online interview

Meet MasterBorn, a world-class software development company driving success for businesses in FinTech, SportsTech, and MedTech, led by a passionate team committed to client product success.


We are currently improving our world-class service with a Data Engineer role.


As a Data Engineer you will help setting up one of our products or one of its features. You will set up Data Processing (ELT), work on Data Mapping, perform Data Validation, and configure the application to meet the Business Needs. Dive into a world of problem-solving and collaboration, where your technical prowess and excellent communication skills will be key in driving the success of our service and application features as well as its quality and performance.



  • Required: highly proficient in SQL, 1-2 years of experience with Python, 2-3 years of experience in software implementation or Enterprise Saas solutions, processing and analyzing data sets, MS Suite, database design and data modeling, AzureDevops (or similar), English B2
  • Offer: B2B, paid days off, 100% remote (or hybrid/onsite - as you prefer), full-time position, long-term contract, Polish working hours
  • Perks and Benefits: +6 000 PLN / year training budget, + 1500 PLN / quarter for health insurance and sports, Mentoring, and other
  • Tools you'll use: MS Teams, MS Office Suite, Azure DevOps, Jira, Miro, Windows/iOS, MS SQL, PostgreSQL (Greenplum), Slack, Coda



✅ Your future tasks and duties:


  • Work with retail customers to configure one of the Appriss Retail products, executing to the documented requirements of the project
  • Using an existing data pipeline, ingest and map the client’s source data to a standard data model
  • Effectively translate complex customer requirements, recommend system solutions, and help formulate detailed specifications
  • Leverage appropriate resources from Appriss Retail and customer, coordinating availability to maximize productivity
  • Gain a deep understanding of how our products work, how they interact with each other, and how to build reliable and reusable processes for implementation. 
  • Identify when customer needs/requests are outside of agreement and work with Project Management team.
  • Act as a problem-solving expert, proactively identifying issues, analyzing root causes, and implementing the solution effectively
  • Create documentation used for production release and for support team for on-going support



💻 About you - Tech skills & Experience:


  • Highly proficient in SQL (queries/data selection, joins, complex queries, data definition); familiarity with database design and data modeling
  • 1-2 years of Python experience
  • 2-3 years of experience in software implementation or Enterprise SaaS solutions, preferably in retail
  • Experience processing and analyzing large data sets
  • Expertise with the Microsoft software suite
  • Comfortable in a Web development environment
  • Working knowledge of Git, JIRA (or similar), Azure DevOps (or similar)



🌟 About you - Soft Skills:


  • Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences
  • Ability to communicate with both technical and non-technical customers on a variety of issues
  • Ability to organize and execute multiple high-priority tasks simultaneously
  • English level B2 minimum - direct communication/documentation/tasks/other reading/speaking/writing
  • Preferably Polish level B2 to communicate efficiently within the team
  • Strong problem-solving abilities and detail orientation to diagnose issues, suggest solutions and make decisions based on requirements



⚡️ Nice to have:


  • Understanding of Azure and release pipelines



What will the recruitment process look like?

  1. CV/Application check by HR Team
  2. Organizational phone call with HR Team (15min)
  3. Soft-skills interview with HR Team (1h)
  4. Technical interview (2h)
  5. Feedback and decision 🥳



Join us and have a real impact on the road to a project’s success!