Data Architect leading data architecture and design for LifeByte's technology ecosystem. Collaborating with multiple teams to ensure robust data governance, compliance, and innovative strategies.
About the role
- Data Engineer designing and optimizing data solutions for Qualco Intelligent Finance. Focus on data integrity, consistency, and reusability in analytics deliverables within a hybrid environment.
Responsibilities
- Work closely with other team members on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects;
- Design, implement, maintain, monitor and optimize current and future data/reporting/analytics platforms/solutions in order to address data related needs;
- Integrate, transform, and consolidate data from various structured and unstructured data systems in order to make them available for reporting/analytics solutions;
- Develop and maintain Data Warehouse environments;
- Set up and maintain automated processes according to the business requirements i.e. invoicing process; and
- Identify areas to increase efficiency and automation of processes;
- Ensuring that all activities and duties comply fully with regulatory requirements, including the Group Anti-Bribery and Corruption Policy.
Requirements
- BSc degree in Computer Science, Information Technology, or a related subject;
- 3-5 years’ experience in data engineering and/or data analysis;
- Strong knowledge of writing queries, stored procedures, views, functions and triggers for Microsoft SQL Server (T-SQL);
- Experience with analysis, design, and development of large high performance databases;
- Experience with ETL tools (preferably MS SSIS);
- Exceptional attention to quality, detail, and be comfortable working as part of an extended team on an agile delivery plan;
- Resourceful, creative, self-motivated and eager to learn;
- English fluency and strong communication skills, both verbal and written;
- Other desirable attributes include:
- Work experience in credit or debt portfolio data management, analytics or reporting;
- Experience with DevOps and/or other Git related tools;
- Experience with MS SharePoint and visualization platforms (e.g. PowerBI, SpotFire, QlikSense etc.)
- Knowledge of Python and/or other OOP languages;
- Knowledge of R statistical language;
- Knowledge and experience on Data Warehouse design as well as OLAP/OLTP systems;
- Experience in working with multidimensional databases; and
- Familiarity with statistical tools and predictive modelling concepts.
Benefits
- Competitive compensation, ticket restaurant card, and annual bonus programs.
- Cutting-edge IT equipment, mobile, and data plan.
- Modern facilities, free coffee, beverages, and indoor parking.
- Private health insurance and onsite occupational doctor
- Onsite gym, wellness facilities, and ping pong room.
- Career and talent development tools.
- Mentoring, coaching, personalised annual learning, and development plan.
- Employee referral bonus, regular wellbeing, ESG, and volunteering activities.
Job title
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