Intermediate ETL Developer migrating customer data into Pandell - ESG’s energy software. Writing conversion scripts, adapting ETL frameworks, and leading technical implementation projects.
About the role
- Senior Analytics Engineer building cloud data pipelines, analytical models, and BI dashboards for Valtech, an experience innovation company. Translating client business questions into reliable, governed data solutions.
Responsibilities
- Lead the development and maintenance of reusable, analysis-ready datasets for reporting, dashboarding, and analytical use cases
- Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight
- Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities
- Own transformation logic and dashboard-ready data modeling for accurate and scalable analytics outputs
- Design and maintain ingestion and business-logic-based transformations using Alteryx, Databricks SQL, PySpark, and related cloud data environments
- Build scalable ingestion pipelines using APIs and other connectors
- Build scalable analytical models supporting Data Analysts, Data Scientists, AI Scientists, and business stakeholders
- Perform and improve data validation, QA, and logic review practices
- Troubleshoot modeling, transformation, semantic, and metric consistency issues
- Document transformation logic, source dependencies, joins, model assumptions, semantic definitions, and data quality considerations
- Support code review, version-controlled development, and reusable workflow practices
- Partner with Data Analysts, Data Scientists, AI Scientists, Data Engineers, and Architects
- Improve model structure, metric consistency, documentation, and analytical workflows
- Follow governance, privacy, and data-quality standards
- Participate in client-facing discussions and explain model logic, metric definitions, transformation choices, and data quality considerations
- Share modeling best practices and support more junior practitioners
Requirements
- A minimum of 3 years of hands-on experience in data engineering, cloud data platforms, and enterprise analytics solutions
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field
- Create dashboards in Power BI, Tableau, or similar BI tools
- Develop Alteryx and other ETL for automated reporting
- Translate complex analytical outputs into executive-friendly visualizations
- Build, maintain, and support interactive reports with filters, drill-downs, and trend analysis
- Ensure data quality and consistency behind dashboards
- Databricks (Python, PySpark, SQL, Delta Lake, Workflows)
- Cloud data platforms and services (Azure /Databricks)
- API integrations and data ingestion frameworks
- ETL/ELT pipeline design, development, and support
- Workflow orchestration tools such as Airflow, Databricks Workflows, or Azure Data Factory
- Data modeling, performance optimization, monitoring, and operational support
- Power BI or enterprise BI platform development
- Data governance, security, access management, and production support
- Data validation and automated data anomaly detection
- Familiarity with Finance KPI and spatial data is a plus
- Experience with Agile methodologies and consulting is a plus
Benefits
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
- Medical, dental, and vision insurance for you and your family
- Employer contributions to Health Savings Accounts
- Inclusion and accessibility accommodations during the interview process
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