What you’ll do:
The Lead Developer for Data Analytics and Reporting will be involved in the following activities:
Technical leadership:

• Mentor junior developers or provide technical guidance; lead by example through coding practices, best practices, and technical decisions

Data Analytics and Reporting Development:

• Design and implement scalable, high-performance data pipelines and ETL (Extract, Transform, Load) processes to ensure clean, accurate and actionable data
• Develop advances data models, dashboards and visualisations using BI tools (e.g.: power BI)
• Build custom reports and tools to provide business insights and track KPIs;
• Integrate data from multiple sources (databases, third -party APIs, internal systems) into a comprehensive reporting structure

Data Security and Compliance:

• Ensure security best practices are followed and compliance with relevant regulations (e.g., GDPR, CCPA) is maintained
• Ensure that the reports and dashboards reflect correct, complete, and timely data, with minimal errors or discrepancies

Performance and optimisation:

• Optimize data models, queries, and reports to improve the speed and responsiveness of data-driven applications
• Perform regular performance reviews of data analytics systems and reporting tools to ensure they meet the business needs effectively

Continuous improvement and innovation:

• Propose new technologies, tools, and methodologies to improve the performance of data systems
• Keep up with the latest tools, technologies and trends in data analytics and reporting

Collaboration and Communication:

• Work closely with business analysts, project managers and business stakeholders to understand reporting needs and define requirements
• Provide complex data insights in a concise manner to non-technical stakeholders

Documentation & Training:

• Maintain up-to-date documentation for all analytics solutions, processes, and procedures
• Prepare and deliver updates to all levels of management on analytics performance, data insights and reporting improvements
• Provide training and support to users of data analytics tools, ensuring they are fully prepared to make data-driven decisions
• Offer support on how to interpret and act on the data from the reports and dashboards

What you’ll bring:

• Minimum of 3 years in a data engineering or similar technical role
• Proven experience in designing and implementing large-scale data applications and data pipelines
• Strong background in database management and data modelling
• Proficient in using SQL, Python for data extraction, analysis, and automation
• Extensive experience with both relational (e.g., MySQL, PostgreSQL, Oracle)
• Expertise in data warehousing
• Strong knowledge of data modelling techniques and best practices
• Familiarity with version control systems like Git
• Expertise in advanced data security measures and encryption techniques
• Experience in developing and managing APIs for data access and integrationHow you’ll bring:Strong self-confidence, good judgment and the ability to make sound decisions
• Excellent problem-solving and analytical abilities with a strong attention to detail
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Strong project management skills with the ability to handle multiple projects simultaneously
• Proactive and self-motivated, with a passion for continuous learning and innovation
• Ability to work collaboratively in a fast-paced, dynamic environment
• Excellent English and Romanian skills

Valuable additional Skills & Attributes:

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. A Master’s degree is a plus
• Experience in mentoring developers
• Experience integrating machine learning models into data pipelines
• Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Google Data Engineer Certification)
• Familiarity with BI tools for visualization or dashboard creation (e.g., Power BI, Tableau, Qlik)
• Experience with agile project delivery (Scrum/Kanban)

What we offer:

• Competitive salary
• Participation in discretionary annual performance related bonus (as an additional % of salary)
• Life & Accident insurance
• Medical services subscription
• Multilingual bonus
• Hybrid working
• Modern office environment
• Monthly celebrations
• Career advancement opportunities
• Friendly working environment with a regular social agenda

If you’re interested in having a chat with us, please submit your CV @ email: [email protected].