Data Engineer – EZO
About Us
EZO are a rapidly scaling EV charging company on a mission to accelerate the transition to clean mobility. As we expand across new markets, we are building a world-class data capability to support smarter charging networks, seamless customer experiences, and efficient operations. We are now looking for a Data Engineer who will play a pivotal role in shaping our data culture, driving high-impact insights, and guiding our analytics strategy as we grow internationally.
Role Overview
We are seeking a Data Engineer to join our technology team, specialising in building and maintaining data pipelines, reporting solutions, and analytics dashboards. The role will focus on enabling business stakeholders to make data-driven decisions through Power BI and other reporting tools.
Key Responsibilities
Data Pipeline Development
* Design, build, and optimise ETL/ELT processes to integrate data from multiple sources.
* Ensure data quality, consistency, and reliability across reporting systems.
* Automate and monitor ETL workflows to minimize downtime and data latency.
* Document data lineage and maintain pipeline reliability standards
Power BI Reporting & Visualisation
* Develop and maintain interactive dashboards and reports in Power BI.
* Develop actionable insights and KPIs that drive business strategy
* Collaborate with business teams to translate requirements into effective visualisations.
* Implement row-level security, data models, and DAX measures for advanced analytics.
Database & Infrastructure Management
* Work with both structured and semi-structured data sources.
* Work with SQL Server, Azure Data Services, or equivalent platforms to manage data storage.
* Monitor performance and optimise queries for large datasets.
Collaboration & Stakeholder Engagement
* Partner with analysts, product managers, and business stakeholders to understand reporting needs.
* Provide technical guidance on best practices for data visualisation and reporting.
Continuous Improvement
* Stay updated on emerging BI tools and data engineering practices.
* Automate recurring reporting tasks to improve efficiency.
Required Skills & Qualifications
* Strong experience with Power BI (data modeling, DAX, dashboard design).
* Proficiency in SQL and relational database management.
* Experience with ETL tools or scripting languages (Python, SSIS, Azure Data Factory, etc.).
* Knowledge of data warehousing concepts and reporting best practices.
* Ability to work collaboratively in a cross-functional tech team.
* Strong problem-solving and communication skills.
Desirable:
* Familiarity with cloud platforms (Azure, AWS, or GCP).
* Experience with version control (Git) and CI/CD pipelines for BI solutions.
* Understanding of data governance and compliance requirements.
* Experience with streaming or real-time analytics solutions
* Exposure to Python/R for analytics and automation
Salary
* €55 -€60k DOE
* On call Allowance
* 10% Bonus
* Healthcare
* Pension