About the company 

IWG has been at the forefront of the flexible workspace revolution for more than 30 years. We have made it possible for organisations and individuals everywhere to take a new approach to the traditional working day. We have over 3,400 locations across over 110 countries allowing millions of people every day to have a great day at work.  

Our customers are start-ups, small and medium-sized enterprises, and large multinationals. With unique business goals, people and aspirations. They want workspaces and communities to match their needs. We provide them with choice through our portfolio of brands, covering serviced offices (Regus, Spaces, HQ, Signature and No18), commercial real estate brokerage and managed office solutions.  

Join us at www.iwgplc.com

Overview:

The Data Engineering Lead is a key leadership role responsible for guiding a team of data engineers, designing and optimizing data architecture, and ensuring the efficient operation of data pipelines. This role involves managing data quality, collaborating with stakeholders to support data-driven decision-making, and setting the strategic direction for the data engineering function. The Data Engineering Lead also ensures compliance with data governance standards, provides technical leadership, and stays informed about emerging data technologies to drive innovation and efficiency.

Key Responsibilities:

• Leadership:
  • Recruit, manage, and mentor a team of data engineers. 
  • Set performance expectations, provide feedback, and foster career development. 
  • Create a positive team culture and promote collaboration. 
• Data Architecture Design:
  • Develop and maintain a scalable data architecture, including data ingestion, data pipelines, data warehousing, and data modeling. 
  • Define data governance policies and standards to ensure data quality and compliance. 
• Data Pipeline Development:
  • Design and implement robust, efficient data pipelines for structured, semi-structured, and unstructured data. 
  • Optimize data processing and transformation to ensure timely data delivery. 
• Stakeholder Management:
  • Collaborate with business stakeholders to understand data needs and translate them into actionable data solutions. 
  • Communicate data insights and findings to key decision-makers. 
• Technology Evaluation and Innovation:
  • Stay abreast of emerging data technologies and tools. 
  • Evaluate and implement new technologies to improve data processing efficiency and scalability. 
• Performance Monitoring and Optimization:
  • Monitor data pipeline performance and identify areas for improvement. 
  • Implement performance optimization strategies to address data bottlenecks. 

Required Skills and Experience:

• Graduate of any IT or Computer related course preferably Engineering, Business Intelligence, Computer Science or Statistics related
• 3 to 5 years' experience
  • Strong understanding of data engineering principles, including data warehousing, data modeling, ETL/ELT processes. 
  • Expertise in various data technologies (e.g. Spark, Kafka, SQL, NoSQL databases) 
  • Experience with cloud computing platforms (Azure, AWS, GCP) 
  • Proven leadership skills in managing and mentoring technical teams 
  • Excellent communication and collaboration skills to work effectively with cross-functional teams 

Technical Skills Candidate must have:

• MS SSIS or any other Microsoft tool for data integration
• SQL (Advanced skills) and Spark
• Power BI and Excel (using Power Query)
• Python