JOBLYIN SUMMARY
Job Overview
This position is offered by AXA, in Cairo, Egypt, as a Full-time role. The job details and listed requirements below are based on the original job posting.
COMPANY PROFILE
About the Company
AIi
This summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.AXA is a global leader in insurance and financial services, offering a wide range of products and solutions to individuals and businesses. While specific industry details for this particular entity are not provided, the job titles suggest potential involvement in financial services or sales-related activities. The company may operate in sectors such as investment management, wealth planning, or direct sales, with roles like Senior Investment Trading Officer indicating expertise in trading and financial markets. Positions such as Direct Sales Consultant - Cairo imply a focus on client acquisition and relationship building within specific geographic regions. AXA's business model likely centers around providing tailored insurance and financial products, supported by a professional workforce dedicated to meeting customer needs. The company may have operations in multiple locations, with a presence in key markets like Egypt.
ORIGINAL JOB DESCRIPTION
About the Job
Key Responsibilities & Accountabilities:
As a Data Engineering Head, you will be responsible for leading a team of data engineers in building, optimizing, and maintaining our data infrastructure and pipelines. You will work closely with stakeholders across data science, BI, and business teams to ensure the delivery of reliable, scalable, and secure data solutions.
Team Leadership and Management: Lead and manage the Data Engineering teams, providing guidance, support, and mentorship to ensure the successful development and maintenance of business intelligence solutions and data architectures.
Architecture Oversight: Design and oversee scalable data architecture, including data lakes, data warehouses, and streaming pipelines.
Data Integration: Ensure seamless integration of data from multiple source systems across structured and unstructured formats.
Data Modeling Standards: Enforce best practices in data modeling (e.g., star schema, Data Vault, SCD), ETL design, and version control.
Platform Operations Monitoring & Optimization: Monitor, troubleshoot, and optimize the performance and reliability of data systems and platforms.
Governance and Quality: Ensure data quality, consistency, lineage, and adherence to governance policies and compliance standards.
Innovation & Automation: Introduce automation, CI/CD, and new technologies to improve the data platform’s agility and performance.
Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate and centralize data from various sources into business intelligence platforms, addressing data-related technical issues, and meeting data infrastructure needs.
Collaboration: Act as a key partner with business teams, Data Science, BI, and governance teams to deliver end-to-end data solutions.
Hands on collaboration: Collaborate with the team and work with hands on with team members to ensure projects and exercise are executed smoothly and delivered on the agreed-on SLA, timelines knowledge and ensure knowledge transfer between team members to ensure smooth business flow.
Documentation & Standards: Maintain clear documentation for architecture, pipelines, and processes while enforcing engineering standards.
Talent Development: Support the professional development of team members, identifying training needs, and fostering a collaborative and dynamic environment to leverage data management and analytics expertise.
Project Management: Plan, prioritize, and manage data engineering projects and resource allocation to meet business needs.
Job Specifications:
Business Knowledge/Technical Skills:
Bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related field.
Minimum of 6+ years of experience in data engineering, with at least 2 years in a leadership or managerial role.
Strong expertise in SQL, data modeling, and ETL pipeline design using tools like Informatica PowerCenter, Alteryx, or SSIS.
Experience with data platforms such as MSSQL, Oracle, PostgreSQL, and big data environments (Hadoop, Spark).
Proficiency in scripting and programming languages such as Python, Java, or Scala
Familiarity with workflow orchestration tools (e.g., Apache NiFi, Airflow, Dagster).
Understanding of CI/CD, DevOps, and DataOps practices in a modern data stack.
Excellent leadership, communication, and stakeholder management skills.
Knowledge of data governance, security, privacy, and compliance frameworks.
In-depth knowledge of data management best practices.
Strong analytical and problem-solving and analytical abilities.
Effective communication and collaboration skills.
Ability to work collaboratively in a dynamic, cross-functional environment.
Experience with cloud data services (Azure Data Factory, AWS Glue, Snowflake, etc.) is a plus.
Insurance or financial services industry experience is preferred.
Show more
CAREER PROFILE
Role Overview
AIi
This summary was prepared with the assistance of AI based on available information and may not reflect all details about the company.The Data Engineering Head oversees the design and maintenance of data infrastructure systems. This role involves leading a team to ensure efficient data processing and integration across organizational operations.
REQUIREMENTS
Required Skills
PythonJavaSQLPostgreSQLAWSAzure