Job Title: Head of Engineering Salary: £70-90k Location: Manchester (NO SPONSORSHIP OFFERED IN THIS ROLE) Job Description: Were looking for a highly skilled and motivated Head of Engineering to join a forward-thinking startup team.
If you have a strong background in data engineering, data governance, and metadata management, along with expertise in AWS and Python, we want to hear from you!
Key Responsibilities: Data Engineering: Design, develop, and maintain robust data pipelines and ETL processes for a Dynamic Metadata system and risk index technology.
Implement real-time data processing solutions to ensure timely and accurate data for the clients product Optimize data storage and retrieval processes to enhance system performance and scalability.
AWS: Utilize AWS services (S3, Redshift, EMR, Lambda, Kinesis) to build and manage scalable data infrastructure.
Implement best practices for security, monitoring, and cost management within the AWS ecosystem.
Collaborate with DevOps teams to ensure seamless deployment and integration of data solutions.
Data Governance and Metadata Management: Establish and enforce data governance policies to ensure data quality, integrity, and compliance.
Develop and maintain metadata management frameworks to support dynamic data processing and real-time analytics.
Collaborate with cross-functional teams to define data standards and ensure consistency across the organization.
Python Programming: Develop and maintain Python scripts and applications for data processing, analysis, and automation tasks.
Implement machine learning algorithms and statistical models to enhance risk assessment and insurance policy calculations.
Write clean, efficient, and well-documented code to ensure maintainability and reproducibility.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as a Data Engineer, with a focus on data governance and metadata management.
Strong proficiency in AWS services and cloud architecture.
Advanced skills in Python programming and related libraries (e.g., pandas, NumPy, scikit-learn).
Experience with real-time data processing frameworks (e.g., Apache Kafka, Apache Spark) is a plus.
Solid understanding of data security, privacy regulations, and compliance standards.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
What the client Offers: Competitive salary and benefits package.
Opportunity to work with a dynamic and innovative team at the forefront of insurance technology.
Professional development and growth opportunities.
Flexible working environment with a focus on work-life balance.
Ready to Innovate?
Apply Now!
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