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Data Engineering Manager
London Stock Exchange Group
posted 2hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Team Leadership Development
- Lead a dedicated team of data engineers, providing mentorship and encouraging growth.
- Establish clear goals, offer mentorship, and cultivate a collaborative environment that encourages innovation and high-quality execution.
- Data Architecture Infrastructure
- Architect powerful, high-performance data solutions, focusing on data warehousing, lakes, and flawless ETL pipelines.
- Drive the integration of sophisticated data sources using technologies like SQL Server , SSIS , ADF , and Azure Data Lake Gen2 .
- Strategic Data Solutions
- Partner with business units to align data strategies with organizational objectives, ensuring our data infrastructure supports key initiatives.
- Continuously assess and implement modern tools and processes to enhance data accessibility, scalability, and quality.
- Optimize Data Pipelines Integrations
- Supervise the design and optimization of efficient ETL processes, ensuring high-speed data transfers and minimal downtime.
- Apply performance enhancements and tackle issues, maintaining pipeline reliability.
- Cloud Azure Expertise
- Own the adoption of Azure technologies, demonstrating Azure Data Factory and Gen2 Data Lake to build flexible, cost-effective data solutions.
- Own the migration of data systems to the cloud while ensuring performance, security, and data compliance.
- Performance Monitoring Issue Resolution
- Apply innovative tools to supervise pipeline health and quickly find opportunities for optimization.
- Ensure system performance is optimized and issues are resolved proactively.
- Collaboration Customer Engagement
- Collaborate across departments to understand data requirements and deliver impactful solutions.
- Clearly communicate technical concepts to both technical teams and non-technical partners.
- Data Governance Compliance
- Carry out data governance policies to ensure consistency, privacy, and compliance.
- Champion high data quality standards and supervise the security of all data systems.
Qualifications:
- demonstrated ability in data engineering, specializing in data warehouse design, ETL processes, and data integration.
- Shown leadership experience in leading and developing a data engineering team.
- Deep understanding of data architecture principles and pipeline performance optimization.
- Good communication skills, capable of explaining sophisticated data issues to both technical and non-technical team members.
- Bachelor s degree or equivalent experience in Computer Science, Engineering, or a related field (Master s degree is a plus).
Why You Should Join:
- Competitive compensation and benefits.
- Join a forward-thinking team that encourages continuous learning and professional growth.
- Make a substantial impact on business decisions and data-driven innovations.
- Work in an inclusive and supportive environment that values diversity of thought.
Employment Type: Full Time, Permanent
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based on 860 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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