NoFluffJobs Praca zdalna Senior

BI / Data Engineer

Spyrosoft

⚲ Wrocław

16 800 - 26 880 PLN (B2B)

Wymagania

  • SQL
  • BI
  • ETL
  • Data modeling
  • Python
  • Data warehouse (nice to have)
  • Data Lake (nice to have)

Opis stanowiska

O projekcie:
We are looking for Data Engineers and BI Developers to join our team and take responsibility for designing, developing, and optimising Business Intelligence and data analytics solutions. We are seeking candidates with experience across the entire data analytics lifecycle who are comfortable working at the intersection of data, technology, and business.

Depending on your experience level (Regular or Senior), you will be involved in advanced data modeling, performance optimisation, data visualisation, and the development of scalable data infrastructures. You will work with large datasets, ensuring high data quality, reliability, and availability across the organisation.
About Spyrosoft
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.

Wymagania:
- Strong experience with SQL or similar query languages- Hands-on experience with BI tools- Experience with ETL / ELT data processing- Solid knowledge of data modeling and optimisation techniques- Understanding of data quality management and KPI monitoring- Experience working in cloud-based data ecosystems- Ability to create scripts for process automation (SQL, Python, Scala)- Experience collaborating with business stakeholders- Strong communication skills and ability to gather business requirements- Fluent Polish and English, both written and spokenNice to Have:- Experience working with large-scale data platforms- Knowledge of data warehouse and data lake architectures- Proactive mindset and willingness to grow within data and analytics domains

Codzienne zadania:
- Design, develop, and optimise BI and data analytics solutions
- Participate in the full data lifecycle: ingestion, transformation, modeling, and visualisation
- Build, maintain, and optimise data models (e.g. LookML, Analysis Services)
- Develop and manage ETL / ELT data processing pipelines
- Work with large-scale datasets and ensure data quality, consistency, and availability
- Automate data processing and analytics workflows using SQL, Python, or Scala
- Monitor data quality and KPI metrics
- Support business stakeholders by delivering data analyses and actionable insights
- Gather and translate business requirements into technical solutions
- Collaborate closely with technical and non-technical teams

🔍 Dekoder Ogłoszenia

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experience across the entire data analytics lifecycle
Może oznaczać, że będziesz musiał zajmować się wszystkim, od zbierania danych po prezentację wyników, nawet jeśli nie jest to Twoja główna specjalizacja.
🟡
comfortable working at the intersection of data, technology, and business
Oczekuje się od Ciebie nie tylko umiejętności technicznych, ale także rozumienia potrzeb biznesowych i umiejętności komunikacji z nietechnicznymi interesariuszami.
🔴
Depending on your experience level (Regular or Senior)
Poziom stanowiska może być elastyczny i zależeć od oceny rekrutera, a niekoniecznie od ścisłych kryteriów.
🟡
authentic, cutting-edge software engineering company
Firma podkreśla swoją nowoczesność i autentyczność, co może sugerować innowacyjne podejście, ale też potencjalnie brak ugruntowanych, długoterminowych procesów.
🟢
engineer-to-engineer’ workplace
Sugeruje kulturę opartą na wzajemnym szacunku i zrozumieniu między inżynierami, co jest pozytywne, ale może też oznaczać mniejszą formalność w komunikacji.