Analytics Engineer

Department: Software Engineering

Location: Poznan

• Data Pipelines
  
  
  
  • Support in designing, building, and maintaining advanced data models and data warehouse.
  
  
  • Ownership, development and maintenance of robust ETL/ELT data pipelines.
  
  
  • Writing, optimising, and reviewing SQL queries for data extraction and transformation.
  
  
  
  
  
  


• Data Solutions
  
  
  
  • Design and build data solutions to support reporting, analytics, and business insights for supply chain solutions.
  
  
  • Ensuring high data quality, integrity, and security across the different data solutions.
  
  
  • Participate in building dashboards and visualisations to communicate insights to stakeholders clearly and effectively.
  
  
  
  
  
  


• Solutions Lifecycle
  
  
  
  • Troubleshoot and resolve data-related issues, improving data flow efficiency and performance.
  
  
  • Evaluate and recommend improvements in our data tools, architecture, and practices, focusing on long-term scalability and adaptability.
  
  
  
  
  
  


• Collaboration
  
  
  
  • Collaborate with the Senior Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes that support internal reporting and embedded analytics.
  
  
  • Partner with the data analysts to understand data needs, assisting in the creation of dashboards, reports, and KPIs.
  
  
  
  
  
  

• Soft Skills
  
  
  
  • Enjoy working collaboratively with data engineers and analysts to enhance data insights and analytics.
  
  
  • You thrive in team environments, are open to feedback, and communicate well with technical and non-technical stakeholders.
  
  
  • Passionate about solving both business and technical problems with a strong analytical mindset and attention to detail.
  
  
  • Self-motivated and able to take the initiative to tackle incoming challenges.
  
  
  • You work effectively under time constraints and can manage competing priorities.
  
  
  • Are passionate about building reliable, scalable, and accessible data systems.
  
  
  • Experience in statistical analysis, predictive modelling, and data interpretation is beneficial.
  
  
  
  
  
  


• Technical Skills
  
  
  
  • Proven experience as an Analytics Engineer, Data Engineer, or similar role focused on data structuring, transformation, and visualisation. Preferably in a mid-level role.
  
  
  • Solid SQL skills, with experience in optimising queries and managing complex datasets.
  
  
  • Comfortable in writing basic Python scripts.
  
  
  • Understands data warehouse concepts and has experience in data modelling and designing and building data warehouses.
  
  
  • Have experience building ETL/ELT data pipelines and data manipulation.
  
  
  • Familiarity with version control systems (e.g., Git).
  
  
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    Nice to have: experience with GCP BI Components (BigQuery, Cloud Functions and Compute Engine), dbt, data visualisation tools (i.e. Thoughspot, Looker, Power BI), Github, and Terraform.