LINK FINANCIAL SERVICES S.R.L.
1 year ago
Lead Developer
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Company information
- Company
- LINK FINANCIAL SERVICES S.R.L.
- Location
- Bucuresti, Iasi Romania
- Posted
- 1 year ago
Job description
Ideal Candidate
Reporting to the Head of Data Analytics and Reporting, the Lead Developer | Data Analytics and Reporting requires deep expertise in database systems, advanced programming skills and knowledge of data architecture principles. This role is instrumental in designing, building, and maintaining our data infrastructure, ensuring scalability, reliability, and performance. The Lead Developer will collaborate closely with other teams (including developers, analysts, and stakeholders) to build scalable and resilient systems that power mission-critical business functions.
Job Description
What you’ll do:
The Lead Developer for Data Analytics and Reporting will be involved in the following activities:
Technical leadership:
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
- 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
- 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
- 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
- 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
- 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
- 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
- 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 integration
- 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
- 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)
- 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
About the Company
LC Financial Holdings is the holding company for a group of businesses that are involved in the investment in and management of private credit.
The business is built across five distinct pillars: Link Financial, BCM Global, KLS, LDMS and LCM Partners, referred to as the Group, with 23 offices in 11 countries, managing assets of over 100 billion, covering almost 7 million customers and serving 110 financial institutions with almost 2 000 dedicated professionals.
We embrace diversity and are committed to creating an inclusive environment for all employees.
The business is built across five distinct pillars: Link Financial, BCM Global, KLS, LDMS and LCM Partners, referred to as the Group, with 23 offices in 11 countries, managing assets of over 100 billion, covering almost 7 million customers and serving 110 financial institutions with almost 2 000 dedicated professionals.
We embrace diversity and are committed to creating an inclusive environment for all employees.
Required skills
- reliability
- reporting
- agile project delivery
- sql
- power bi
- etl
- python
- machine learning models
- git
- apis
- data analytics
- best practices
- tableau
- version control systems
- performance
- scalability
- database systems
- bi tools
- data warehousing
- scrum/kanban
- qlik
- data architecture principles
- encryption techniques
- advanced programming skills
- data modelling techniques
- data security measures
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