BI and Data Engineering Manager

Main job duties and responsibilities:

1. Lead and manage a team of data engineers, BI developers and database administrators providing guidance, mentorship, and fostering a collaborative and innovative work environment.
2. Set clear goals and objectives for the team, monitor performance, and provide regular feedback and performance evaluations.
3. Foster a culture of continuous learning and professional development, keeping the team up to date with the latest data engineering and BI trends and technologies.
4. Develop and execute a comprehensive data engineering strategy aligned with business objectives, ensuring scalability, reliability, and optimal performance of data solutions.
5. Develop and maintain data integration workflows and Extract, Transform, Load (ETL) processes to ensure the timely and accurate flow of data from various sources into the data warehouse.
6. Implement and optimize data cleansing, validation, and standardization techniques to ensure data quality and integrity.
7. Oversee the deployment and monitoring of data integration jobs, ensuring data availability and reliability.
8. Manage and optimize the data warehouse infrastructure, including data storage, indexing, partitioning, and backup and recovery processes.
9. Collaborate with IT teams to ensure proper database administration, security, and compliance with data governance policies and regulations.
10. Monitor and troubleshoot performance issues, implement performance tuning strategies, and recommend infrastructure enhancements as needed.
11. Collaborate with business stakeholders to understand their reporting and analytics requirements and translate them into scalable BI solutions.
12. Collaborate with Software engineers to build scalable databases and design efficient data models after gathering and identifying all systems/Data requirements from different business stakeholders.
13. Design and develop interactive dashboards, reports, and data visualizations using BI tools such as Tableau and Power BI.
14. Ensure data accuracy and consistency across reporting and analytics platforms and provide support to end-users in data interpretation and analysis.
15. Promote a data-driven culture within the organization, advocating for data governance and data management principles.
16. Perform all additional tasks that might be necessary for easier workflow, within the main frame of the job's specialty.

Job requirements:

Educational background and previous experience:

1. MSc. Computer Science, Data Science, Information Systems, or equivalent
2. Minimum 10 Years proven experience in Data engineering, data warehousing, and business intelligence roles, with at least 2 years in a leadership or managerial position. Knowledge and Functional Skills: 1. Proficiency in SQL (Structured Query Language) for data manipulation, querying, and analysis. 2. Strong understanding of data warehousing concepts, data modeling techniques, and database management systems.
3. Strong Knowledge of ETL (Extract, Transform, Load) processes and tools, and experience in designing and implementing data integration workflows.
4. Familiarity with big data technologies such as Hadoop, Spark, and Hive, and understanding of distributed data processing frameworks.
5. Experience with cloud-based data platforms like AWS, Azure, or Google Cloud Platform (GCP), and knowledge of their data services and capabilities.
6. Understanding of data governance principles, data quality management, and data lifecycle management.
7. Proficiency in BI and data visualization tools such as Tableau or Power BI, and ability to design and develop interactive dashboards and reports.
8. Strong understanding of data visualization best practices, data storytelling, and creating meaningful data visualizations for effective communication.
9. Knowledge of statistical analysis and data mining techniques, and ability to derive insights and trends from data.
10. Understanding of key performance indicators (KPIs) and metrics used in various business domains.
11. Experience in designing and implementing self-service BI solutions, empowering business users to access and analyze data independently.
12. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
13. Excellent leadership and team management skills, with the ability to motivate and inspire a diverse team.
14. Effective communication and stakeholder management skills, with the ability to present complex data concepts to non-technical audiences.