Back to SearchSenior Data Analytics and Visualization Engineer
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
We are seeking a Senior Data Analytics and Visualization Engineer who is passionate about data and eager to build next-generation visual and analytical solutions. In this role, you will act as a pivotal link between complex raw data and executive decision-making. You will engage with marquee clients across a wide range of diverse sectors—including Finance, Telecom, Media, Insurance, Oil & Gas, Pharma, and more—helping them unlock the true value of their data assets.
This role requires a unique combination of visual design mastery, robust data engineering understanding, and excellent stakeholder-facing communication. Our ideal candidate is not just a BI developer, but a strategic engineer who can design end-to-end analytical data flows, optimize database schemas, leverage Python for advanced data tasks, and establish organizational standards for BI delivery.
- Advanced Dashboard & Report Development: Design, develop, and deploy highly performant, visually compelling, and intuitive enterprise dashboards and reports (with a primary focus on Power BI, Tableau, or Qlik)
- Requirement Gathering & Stakeholder Management: Actively liaise with Product Owners, business analysts, and corporate client stakeholders. Conduct detailed analysis of business problems, gather requirements, and facilitate interactive demo sessions
- Data Modeling & Profiling: Engineer and implement optimal data models (including Dimensional Modeling, Star, and Snowflake schemas). Conduct thorough data preparation, profiling, and quality validation
- Python Integration & Process Automation: Utilize Python (Pandas, NumPy, and related libraries) to automate data processes, perform advanced statistical profiling, or integrate custom predictive analytics and data science models directly into visual BI dashboards
- Environment Administration & Security: Oversee and manage the reporting environments and workspaces. Define and implement robust security frameworks, including Row-Level Security (RLS) and access governance
- Modern Data Architecture Collaboration: Contribute to high-level architecture discussions. Align BI deliverables with modern data structures (Data Warehouses, Data Lakes, Lakehouses/Delta Lakes, and Datamarts) and staging processes
- QA & Testing Standards: Design and contribute to comprehensive testing methodologies for data products to ensure 100% accuracy, speed, and alignment with industry standards
- Agile & DevOps Principles: Work actively within a modern Agile development environment (SCRUM/Kanban) and champion the adoption of CI/CD principles and BI version control practices
- Professional Experience: 5+ years of hands-on experience developing, designing, and maintaining complex BI solutions using tools like Power BI (strongly preferred), Tableau, or Qlik
- Programming & Scripting: Strong programming proficiency in Python and advanced SQL (including DAX or MDX)
- Database Expertise: Proven background in relational databases (such as MS SQL Server, Oracle, MySQL, and PostgreSQL). Experience with high-performance columnar analytical databases (e.g., ClickHouse) is highly valued
- Data Engineering Concepts: Clear understanding of data tiering (landing, staging area, data cleansing, profiling, and security) and data warehouse architecture (DWH, Data Lake, Delta Lake, Datamarts)
- Cloud Architecture: Hands-on flexibility using Cloud platforms (specifically AWS—including services like S3, Glue, Athena, and Lambda—or equivalent services in Azure, GCP, or Snowflake)
- Quality Assurance: Demonstrated expertise in testing data products, validation, and dashboard performance tuning
- Agile Frameworks: Experience working in fast-paced Agile development environments (SCRUM, Kanban)
- CI/CD & DevOps: Familiarity with modern CI/CD principles and version control tools for report deployment
- Communication & English Skills: Strong presentation and communication skills, with a proven capability of bridging technical data concepts to C-level executives. Fluent English proficiency (Upper-Intermediate level or higher)
- ETL/ELT Pipeline Development: Experience building, monitoring, and optimizing ETL data pipelines
- Low-Code/No-Code Apps: Familiarity with low-code application development platforms (such as Power Apps)
- Advanced BI Certifications: Professional certifications, such as Microsoft Certified: Power BI Data Analyst Associate, Power Platform App Maker, or cloud certifications