OVERVIEW:
Our client, a well-established management consulting firm with a focus on the Banking and Insurance sector, is looking for a skilled Data Engineer with expertise in Power BI, Power Apps, and Azure to join their team on a 5-year contract. In this role, you’ll be responsible for building and maintaining reliable data pipelines that ensure data is accurate, accessible, and ready to support reporting, analytics, and strategic decision-making. A solid command of SQL, experience in cloud-based data environments, and a passion for solving complex data challenges are essential. The ideal candidate holds a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or has equivalent practical experience), along with 5+ years in data engineering, data analytics, or similar roles.
RESPONSIBILITIES:
- Develop, maintain, and optimize data pipelines and ETL processes to support reporting and analytics
- Design and maintain data models to ensure efficient querying and data integrity
- Collaborate closely with BI analysts, data scientists, and business stakeholders to understand data needs
- Build and maintain reporting datasets that feed into Power BI and other visualization tools
- Write advanced SQL queries for reporting and data extraction across multiple data sources
- Ensure data quality, accuracy, consistency, and governance across the data lifecycle
- Support predictive analytics and machine learning initiatives by preparing and structuring data appropriately
- Work within cloud environments (AWS preferred) to manage data storage, transformation, and access
REQUIREMENTS:
- Strong experience in SQL for reporting, data extraction, and transformation
- Solid hands-on experience with Power BI for supporting reporting datasets and visuals
- Strong understanding of data warehousing concepts, data modeling, and ETL design
- Experience building scalable, efficient, and automated data pipelines
Advantageous Skills:
- AWS (QuickSight, S3, Redshift, Lambda, etc.) – experience with cloud data services
- PostgreSQL – experience with relational database management systems
- Python – for data manipulation, automation, and pipeline development
- Advanced Excel – for ad hoc reporting and analysis
- Predictive Analytics – experience supporting forecasting models or machine learning pipelines
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent practical experience)
- 5+ years of experience in data engineering, data analytics, or related roles
ATTRIBUTES:
- Strong problem-solving skills and ability to work independently and collaboratively.
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
COMMENTS:
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Desired Skills:
- Data
- Engineer
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