Design, develop, and maintain data automation solutions to support analytics, reporting, and operational needs;
Build and manage automated data pipelines (ETL/ELT), integrating multiple sources;
Automate processes for data ingestion, validation, transformation, and enrichment;
Integrate data between systems using APIs, databases, files, and cloud services;
Develop scripts and services to ensure data availability, quality, and reliability;
Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into automated solutions;
Support and optimize analytical workloads and Power BI, focusing on backend and data preparation (not dashboard development);
Implement monitoring, logging, and alerting for pipelines and automated processes;
Support migration of automation solutions from on-premises environments to the cloud;
Ensure data governance, security, and consistency across automated flows;
Mentor junior developers and contribute to automation best practices.

Strong experience developing automations using Python, SQL, PowerShell or similar languages;
Scheduled jobs
Batch processing
Event-driven automation
Knowledge of Git and CI/CD pipelines;
Data Engineering and ETL experience
Solid knowledge of ETL / ELT processes;
Data pipeline development
Process orchestration
Experience automating data transformations and validations;
Knowledge of data modeling for analytics and reporting.
Databases and SQL
Strong SQL skills (querying, transformation, and optimization);
SQL Server
MySQL
PostgreSQL
Ability to structure data for analytical use.
Integration and APIs
Experience integrating data via: APIs
Files (flat files)
External systems
Knowledge of authentication methods: tokens, OAuth, Service Principals
Cloud and data platforms
Experience or familiarity with cloud platforms: Microsoft Azure (preferred) or AWS (a plus)
Familiarity with services for: storage, processing
Cloud computing
Orchestration and workflow
Power Automate
Azure Logic Apps
Ability to combine low-code solutions with custom automations.
Experience supporting Power BI (data-focused, not visualization);
Knowledge of performance, load optimization, and dataset refresh processes.

Automation Developer

Key skills