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