We are looking for a Senior Data Analyst / Engineer to join a product-focused team building a next-generation Business Intelligence solution for the temp-staffing industry. This is a hands-on, end-to-end role combining data engineering, analytics, and BI development, with a strong focus on delivering real value to customers.
Project — a scalable BI platform that integrates data from multiple cloud-based ERP systems across different countries and transforms it into actionable insights. Each customer has a dedicated environment with tailored dashboards and KPIs, enabling deep data analysis and decision-making.
Requirements:
5+ years of experience in data engineering/analytics rolesProven experience developing data pipelines using Python and Jupyter NotebooksHands-on use of Pandas, NumPy, and DuckDB (or equivalent analytical SQL engines) for transforms, validation, and performance-conscious processingFamiliarity with cloud environments and utilizing SDKs to extract data from various sources, including Azure, AWS, APIs, and SQL databasesExpertise in SQL for data manipulation and creating normalized datasets from multiple systemsExperience using BI tools to create and manage datasets and generate insightful dashboardsExpertise in dashboard design, including the use of filters and other interactive elements for deep data analysisExperience with Apache Superset is a strong plusStrong ability to work independently and proactively in a fast-paced projectKnowledgeable in advanced AI tooling for productivity, including MCP, agent skills, harness engineering w/Claude Code/Cursor/Codex, WorktreesUpper-Intermediate English or higher
Nice to Have:
Hands-on experience with cloud environments and containerization technologies (e.g., Docker, Kubernetes)Knowledge of rights management in BI tools for data security and access controlFamiliarity with parallelizing ETL processes and workflow orchestration to improve efficiency and scalability
Responsibilities:
Lead the development of scalable ETL/analytics pipelines and customer-facing analytics — from requirements through published datasets and usable dashboards — for multi-tenant customer setupsWork with stakeholders to clarify questions and metrics, map them to available ERP/operational data, and prioritize KPIs that are feasible, testable, and maintainableBuild reliable pipelines that ingest, validate, transform, and document data into curated, analysis-ready datasets (e.g. columnar/Parquet outputs, consistent schemas), suitable for SQL-based reporting and dashboardsDesign and implement BI dashboards that use curated data to provide visual insights into relevant KPIs, enabling customers to filter, analyze, and interpret data with easeEnsure solutions can scale across multiple customers with minimal effort, leveraging cloud infrastructure and optimizing performance where necessary
We offer:
Vacation (up to 20 working days)Sick leaves (10 working days)National Holidays as time off (up to 11 days)Medical reimbursement/insurance after 3 monthsOnline English coursesFlexible working schedule, remoteDirect cooperation with the customerCommunication with Top/Senior level specialists to strengthen your hard skillsOnline/offline teambuildingsVolunteering culture development and support
