We are looking for a Senior Data Analyst / Data Engineer to join a dynamic team working on a cutting-edge BI solution for the temp-staffing industry. This role combines hands-on data engineering, analytics, and AI experimentation, with a strong focus on delivering scalable, high-impact data solutions.
Project — a modern Business Intelligence platform that aggregates and processes data from multiple ERP systems across different countries to provide KPI-driven insights for staffing industry clients. The solution supports multi-tenant architecture with separate environments per customer and leverages cloud technologies and AI tools to deliver scalable and high-performance analytics.
Must have:
Strong experience as a Data Analyst / Data Engineer.Proven ability to work independently in a fast-paced environment.Hands-on experience with Python and Jupyter Notebooks.Strong knowledge of Pandas, NumPy, DuckDB or similar analytical engines.Advanced SQL skills (data transformation, normalization, optimization).Experience building and maintaining ETL pipelines.Experience working with cloud platforms (AWS, Azure) and APIs.Experience with BI tools and dashboard development.Strong understanding of data modeling and KPI definition.Experience designing interactive dashboards with filters and analytical features.Familiarity with modern AI tools and productivity frameworks.
Good to have:
Experience with Apache Superset.Knowledge of Docker, Kubernetes or containerization tools.Experience with workflow orchestration and ETL parallelization.Understanding of data access control and rights management in BI tools.
Responsibilities:
Design and implement end-to-end ETL pipelines and analytics solutions.Build scalable data pipelines for ingesting, validating, and transforming data.Develop curated, analysis-ready datasets for reporting and dashboards.Collaborate with stakeholders to define KPIs and translate business needs into data solutions.Create and maintain BI dashboards with clear and actionable insights.Ensure scalability and performance of data solutions across multiple customers.Optimize data processing and system performance using cloud infrastructure.Work with modern AI tools to accelerate development and improve productivity.
We offer:
Vacation (up to 20 working days).Paid sick leaves (10 working days).National holidays as paid time off (11 days).Medical insurance after 3 months probation period.Online English courses.Accountant assistance and legal support.Flexible working schedule, remote, office-based or hybrid format.Fully-equipped office space in the city center (blackout-ready).Direct cooperation with the customer.Dynamic environment with low bureaucracy and strong team spirit.Communication with senior-level specialists to grow your expertise.Online and offline team-building activities.Support for volunteering initiatives.
