Data Tech Lead at Atos

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Infrastructure, Analytics Solutions, Team Leadership, Data Strategy, ETL/ELT Pipelines, AWS, SQL, Data Modeling, Data Governance, Data Quality, Python, Data Visualization, Root Cause Analysis, Mentorship, Scalability, Automation

Industry

Business Consulting and Services

Description

About Atos Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. € 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris. The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. As a Tech Lead for the Data Analytics team, you will be responsible for driving the design, development, and optimization of data infrastructure and analytics solutions. You will lead a team of data engineers and analysts, ensuring high-quality delivery of scalable data products that enable actionable insights and support business growth. You will play a critical role in shaping the data strategy, mentoring team members, and collaborating with stakeholders across the organization. Key Responsibilities Lead the design, assembly, and maintenance of large, complex data sets that meet functional and non-functional business requirements. Architect and implement internal process improvements, including optimizing data delivery, redesigning infrastructure for scalability, and automating manual processes. Oversee the development of robust ETL/ELT pipelines and data integrations from diverse sources using AWS, SQL, and modern data engineering tools. Guide the creation of analytical tools and data models that deliver actionable insights into key business performance metrics such as operational efficiency, product usage, and customer acquisition. Partner with stakeholders across Executive, Product, Data, and Design teams to define data infrastructure needs, solve technical challenges, and ensure data reliability. Provide technical leadership and mentorship to data engineers and analysts, ensuring adherence to best practices in coding, design patterns, and documentation. Establish and enforce data governance, quality, and security standards to maintain trust in data products. Drive the design, development, and maintenance of dashboards, reports, and visualizations, ensuring data storytelling that enables informed decision-making. Conduct and oversee data validation, root cause analysis, and quality assurance to guarantee accuracy and consistency across reports and pipelines. Evaluate and introduce emerging technologies, tools, and frameworks to continuously improve the team’s capabilities and the organization’s data maturity. Skills and Qualifications Over 6 Years of proven experience as a Data Engineer / Data Analytics Lead / Tech Lead or in a senior data engineering/analytics role. Strong background in building and optimizing data pipelines, architectures, and data sets for analytics and business applications. Expertise in SQL database design and hands-on experience with cloud data platforms (AWS, Snowflake, etc.). Proficiency in Python (or similar languages) for data processing, automation, and analytics. Solid understanding of data models, metadata, and workload management. Experience in business intelligence (BI) and visualization tools (Power BI, Tableau, etc.), including dashboard/report design and data quality testing. Strong analytical mindset with the ability to work on unstructured datasets and perform root cause analysis on complex processes. Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Talend Studio, dbt, Microsoft Fabric). Excellent communication and leadership skills, with the ability to translate technical concepts into business impact. Experience in mentoring and guiding teams, setting coding standards, and performing code reviews. Strong problem-solving abilities with a focus on scalability, automation, and data governance. Preferred Tools & Technologies Data Platforms: Snowflake, AWS (Redshift, S3, Glue, etc.) Orchestration: Airflow, Talend Studio, dbt BI & Visualization: Microsoft Power BI, Tableau Data Integration & Transformation: Microsoft Fabric, ETL/ELT frameworks Programming & Scripting: Python, SQL Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.

Responsibilities

The Tech Lead will drive the design, development, and optimization of data infrastructure and analytics solutions while leading a team of data engineers and analysts to deliver scalable data products. Key duties include architecting data sets, overseeing ETL/ELT pipeline development using AWS and SQL, and defining the overall data strategy.