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51 Junior Data Lead jobs in Egypt

Data Lead

EGP120000 - EGP240000 Y Reckitt

Posted today

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Job Description

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

About the role

The role of "Business Data Lead" is part of the site deployment team and reports to the "Market lead".

Pre deployment kick-off, the role focuses on getting the source data ready for the deployment (JDE, TDS, Optiva, MDG-s, MDG-h, etc …), may come with hands-on duties but is primarily about mobilizing business resources and coordinating the delivery of the pre-requisite activities until the deployment starts.

After deployment kick-off, the role focuses on coordinating the data activities of the "Superusers" (SUs), enabling them to perform their data tasks and ensuring they do it following best practices; this is done under the steer of the central Data Migration (DM) Wave Delivery Lead, these activities are mainly but not limited to:

Data localisation
Data collection
Data enrichment
Data construction
Data validation

This role is middle manager level, it requires lots of coordination agilities since it sits in the middle of the site business team and is the main point of contact for the central data team. The individual must be capable of managing conflicting priorities in a challenging environment at a very fast pace.

Your responsibilities

Work closely with the market lead on the planned activities to deliver on time, quality & budget
Is accountable to ensure that the site business team is following the plan agreed with the central team
Is an advocate of the central team DM methodology
Will identify all the data sources and how its data will be sourced from
If the data doesn't exist in any source system or tool, is accountable to find where, how and who is going to source / manage this data
Accountable for data preparation progress to meet the Trial & Production loads entry criteria's (the responsibility is shared between the SUs and the Data Migration Specialists (DMSs)
Can potentially be responsible for some data preparation tasks, meaning the individual must also be operational (Cf. "PROFESSIONAL QUALIFICATIONS/ EXPERIENCE" section) :
Provide input during design sessions mainly in the BCA phase (Business Change Assessment)
Contribute to the definition of data preparation rules
Prepare and/or construct data
Validate / Reconcile data
Accountable for the data validation and reconciliation process end-to end which includes:
The identification of the business staff who will check and sign off the data
The identification of the exhaustive list of control check that will stress the data
The responsibility sits with the SUs
Accountable for the management of Risks, Issues, Decisions and actions as well as the data defects together with central DM Wave delivery Lead (the responsibility sits with the SUs & the DMSs)
Provide updates, monitor progress and report issues and risks to the central data team
Participates to the weekly operational meetings with the wider data team (called L5 meetings) , ensure active participation from the local business team(s)
Manages the preparation of the L4 slides with the DM Wave Delivery Lead and present it to the wider group each week
Participates to the weekly Data Collaboration Calls (DCCs) with SAP CC, BPOs, GDOs, central data team and site team and ensures that the site business team is coming prepared to make the best use of this forum which is meant to remove data preparation roadblocks (the management of these meetings sits with the DMSs)
Supports the central team with operational and management reporting

The experience we're looking for

Good understanding of business processes in a CPG environment
Ability to quickly understand IT systems and processes landscape
Ability to quickly understand how data "influences" the business processes in the current system (JDE)
Ability to quickly create a strong network within the local business and remote Reckitt sites
Excellent IT acumen / Extremely comfortable with IT systems overall
Strong IT project management experience
SAP project implementation in a global environment
SAP navigation
ERP Data migration experience
Advanced MS Excel skills
JDE knowledge
ERP Data Stewardship

The skills for success

Excellent communication and presentation skills
Experience of managing stakeholders at all levels across the organisation and very agile with them
Experience of managing teams of operational subject matter experts
Ability to influence individuals outside own reporting lines
Determined and resilient to identify resolutions to issues within own span of control
Calm under pressure, action orientated, very organised, and disciplined
Curious and eager to learn
Fast learner and autonomous
Able to easily interface and collaborate with a diverse group of individuals
Having a can-do proactive mindset is an absolute must
Excellent team player

What we offer

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way. We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

Equality

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you. All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.

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BI & Data Lead

EGP900000 - EGP1200000 Y MAGRABi Retail Group

Posted today

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Job Description

Job Purpose
The BI & Data Analytics Lead create and maintain warehouse Data and ETL (Extraction, Transformation and Loading) jobs. As well as handling Enterprise to Enterprise implementations including backend/frontend tools. This Support in creating automated reports based on business requirements.

Qualifications
Qualifications and Education

Bachelor's Degree in a related field
Advance SQL/PLSQL is a must.
Advanced at the use of BI Reporting and Analytical tools (SAP Analytics Cloud, SAP Business Objects, Power BI Tableau, MicroStrategy or any other) is a plus.
Deep understanding of data modeling and data schemas.
Knowledge in cloud data warehouse platforms such as (Snowflake, Databrics, SSIS & BigQuery ) is a plus.
Understanding of incremental data loading is a plus.
Scripting language (Python, Scala is a plus)
Supporting Process design, solution configuration, data architecture and solution testing.

Experience

5 - 7 Years of experience in Data Analytics field.
Extensive experience in SQL is a must.
Experience in SAP Datasphere is a plus.
Creating interactive Dashboard Stories in Reporting/analytical tools (SAP Cloud analytics is a plus).
Participate in the discovery, definition phase of business metrics and KPIs.
Hands on experience in Data Science is a plus.
Ability to define test scenarios and test cases.

Job Responsibilities

Manage and handle the data warehouse implementation and monitoring
Develop E2E process integration concepts for seamless data flow.
Develop and implement front end part including dashboard creation.
Create complex Views-Procedures-Functions.
Manage ETL jobs.
Gather requirements and convey them to technical points.
Collaborate with stakeholders in the discovery, definition phase of business metrics and KPIs.
Design automated solutions for recurrent reporting (daily/weekly/monthly).
Develop new solutions as required based on business needs.
Champion data automation initiatives to streamline processes and improve efficiency.

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QA Data Lead Tester

EGP90000 - EGP120000 Y DXC Technology

Posted today

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Job Description

Job Description:

Job Summary:

We are looking for a QA Data Lead Tester to lead testing efforts across data-centric projects including data pipelines, data migration, reporting, analytics, and data governance initiatives. This role involves designing and executing comprehensive test strategies, leading data testing teams, and ensuring data quality, integrity, and compliance with business requirements.

Key Responsibilities:

Lead QA activities across data projects, including test planning, execution, defect management, and reporting.
Develop and implement test strategies for ETL processes, data pipelines, data warehousing, data lakes, and business intelligence systems.
Design and maintain test plans, test cases, and test scripts focused on data quality, accuracy, completeness, transformation logic, and performance.
Perform data validation and reconciliation between source and target systems using SQL and other query languages.
Collaborate closely with business analysts, data engineers, and developers to understand data flows and define test requirements.
Oversee data migration testing and regression testing efforts to ensure consistency and accuracy in large-scale datasets.
Define and enforce data testing best practices, standards, and methodologies.
Manage and mentor a team of data testers; assign tasks, review work, and support their professional development.
Identify data quality issues and coordinate with the data engineering team for resolution.
Track and report test progress, risks, and issues to stakeholders.
Participate in Agile/Scrum ceremonies and contribute to continuous improvement initiatives.

Required Skills and Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Strong experience in software quality assurance with a minimum of 3 years leading QA in data-focused projects.
Strong expertise in SQL for data validation, profiling, and reconciliation.
Experience with ETL tools (e.g., Informatica, Talend, DataStage) and modern data platforms (e.g., Snowflake, Azure Synapse, BigQuery).
Solid understanding of data warehouses, data lakes, and data pipeline architectures.
Familiarity with data visualization/reporting tools like Power BI, Tableau, or Qlik for dashboard testing.
Experience with test management tools such as JIRA, Zephyr, TestRail, or Azure DevOps.
Knowledge of test automation frameworks is a plus (e.g., PyTest, dbFit, Selenium with SQL).
Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications:

Experience in testing cloud-based data platforms (e.g., Azure, AWS, GCP).
Exposure to data governance, data cataloging, and data lineage tools (e.g., Collibra, Alation, Purview).
Certification in ISTQB or equivalent QA certifications.
Experience working in Agile/Scrum environments with CI/CD pipelines.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

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Data Governance Analyst

EGP120000 - EGP240000 Y SSC HR Solutions

Posted today

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Job Description

1. Perform the required data exploration activities needed to set proper data elements standards using machine learning, data mining, and data quality techniques.

Identifying data quality defects patterns and trends and perform root-cause analysis, gap analysis, and impact analysis in order to solve complex data issues.

Develop Data Quality analytical reports in order to provide operational and tactical data stewards with monitoring and tracking tools to eliminate Data Quality defects.

4. Develop Data Quality Dashboards to provide senior management and business managers with proper visual monitoring tools in order to monitor and track the progress of eliminating data defects.

Collaborate with other business areas that are sourcing and consuming data to align expectations as part of developing requirements, creating and executing test plans and to effectively support production processing.

6. Develop data remediation plans for the data failures in order to meet the required standard to enhance data quality level, and measure progress after execution to ensure the successful execution of the remediation process.

7. Apply the data governance framework including the management of data, operating model, data policies and standards in order to deliver a smooth operation process.

Assess the changes on Reference Data to ensure they match the predefined quality standards and ensure they meet the business and regulatory rules.

Participate in the required research and POCs to explore and implement new technology trends and complex data governance use cases in order to enhance the enterprise data governance operating model.

10. Apply the data management framework including the management of data, information and analytics operating model, data policies and standards in order to deliver a smooth operation process.

Policies, Processes and Procedures

11. Follow all relevant department policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner

Day-to-day Operations

12. Follow the day-to-day operations related to own jobs in the department to ensure continuity of work

Requirements

§ Bachelor's degree of Information Systems, Computer Science or its equivalent

§ Analyst: 2 - 4 years of previous work experience

§ Experience in data analysis, data governance, information governance, data management, or data analytics related jobs would be a plus.

§ Good Knowledge in database concept and PL-SQL, BI concepts (ETLs, Cubes, Dashboards, ) is a must

§ Good Knowledge in Python or R is a must

§ Good Knowledge in Data Mining techniques and dealing with huge data sets is a plus

§ Good Knowledge in Data Visualization tools is a plus

§ Strong Analytical skills with a high degree of accuracy

§ Strong Problem Solving and Data Manipulation Skills

§ Ability to analyze Complex business problems

§ Ability to exercise good judgment and discretion, especially with regards to sensitive or confidential personnel and organizational matters

§ Demonstrated ability to 1) effectively work in an ambiguous environment, 2) effectively work in a cross-team environment and 3) succeed in a complex and dynamic work environment.4) Work independently, directly with the business partners.

§ Strong interpersonal and communication skills; ability to develop and maintain effective working relationships with persons at all levels in the organization

§ High energy and high endurance; ability to respond flexibly and positively in all circumstances; calm under pressure and tight deadlines

§ Strong organizational skills; ability to work independently and to prioritize a heavy workload of competing assignments

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Data Governance Manager

EGP120000 - EGP240000 Y e& CX Solutions Egypt

Posted today

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Job Description

Job Summary:

We are seeking a
Data Governance Lead
to join our UAE Technology Offshoring Team. The Ideal candidate will be responsible for the below:

Data Modelling

with a strong understanding of data warehouse (DWH) concepts, data issues' validation, and data mesh architecture and Star Schema

The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.

They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.

Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.

The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.

Key Responsibilities:

1. Data Modelling Management:

Implement and maintain data governance frameworks, policies, and standards.
Ensure high-quality data management across DWH models and data sources.
Develop and execute data quality rules, validation processes, and monitoring frameworks.
Identify and resolve data quality issues in collaboration with business and operation teams.
Work with data quality tools to automate data validation and cleansing processes.

2. Data Warehouse (DWH) & Data Modelling:

Support the design and governance of data warehouse (DWH) models based on business requirements.
Ensure data consistency and integrity across structured and semi-structured datasets.
Collaborate with data architects and engineers to optimize DWH performance.
Work with Data Mesh architecture to enable decentralized data ownership and governance.

3. Cloud & Data Engineering Concepts:

Utilize Databricks for Quality & Analytics.
Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines.
Support the development and governance of data pipelines using tools like Databricks or Apache Spark.
Implement data lineage tracking to ensure data transparency and traceability across pipelines.

4. Data Privacy & Compliance:

Identification, classification, and protection of PII and sensitive data.
Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies.
Maintain data lineage and governance documentation.

5. Agile & Squad-Based Collaboration:

Work in an agile environment using the squad model.
Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders.
Participate in sprint planning, backlog grooming, and agile ceremonies.

6. Communication & Cross-Cultural Collaboration:

Work with teams across different cultures and nationalities to align data governance strategies.
Clearly communicate technical and governance concepts to both technical and non-technical stakeholders.
Facilitate discussions, workshops, and training sessions to promote data governance best practices.

Required Skills & Qualifications:

Experience in data governance, data quality, and data modelling.
Technical Expertise:
Strong knowledge of data governance frameworks and data quality management.
Experience with data warehouse (DWH) concepts and Data Mesh architecture.
Knowledge of SQL, Python, or Spark
Hand-on experience in IBM Tools
Experience working with data quality tools
Understanding of basic data engineering concepts, including ETL processes, data pipelines, and data lineage tracking.
Experience with data catalog tools ( Azure Purview).
Hands - on experience in Erwin
Data Privacy & Compliance:

Understanding of PII identification, data classification, and regulatory compliance.

Agile & Squad Methodology: Experience working in an agile environment with cross-functional squads.
Strong English & Communication Skills:
Strong verbal and written communication skills to engage with technical and business stakeholders.

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Data Governance Expert

EGP120000 - EGP240000 Y geidea

Posted today

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Job Description

Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation.

Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative & entrepreneurial talent in the market

Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.

Our technology mirrors our people - Smart, Innovative & Forward Thinking

To maintain a competitive advantage as we grow, we are currently looking for a new "Data Governance Expert"

Job purpose:

This role holder will manage the establishment, implementation and operation of our Data Governance program from the ground up initially without reliance on external vendors. Given that PDPL (Saudi Arabia) aligns closely with GDPR principles and NDMO aligns with DAMA (Data Management Association) standards, our immediate focus will be on frameworks that adapt GDPR and DAMA best practices to our local markets.

The role holder as well will have leverage open-source tooling, where feasible, to ensure scalability and cost-effectiveness.

Responsibilities:

Design operating Data Governance Framework

Develop and implement an enterprise-wide Data Governance framework, including operating models, policies, standards, procedures, and controls.

Align Data Governance framework with local and international regulations such as PDPL and NDMO in KSA, GDPR standards, and relevant UAE/Egyptian requirements.

Incorporate DAMA Data Management best practices to establish robust governance mechanisms and data quality controls.

Regulatory Compliance

Overlook monitoring the evolving regulatory landscape (PDPL/GDPR, NDMO/DAMA, and local data protection laws) and updating policies to ensure ongoing compliance.

Support leveraging GDPR and DAMA frameworks to maintain compliance, given their close alignment with PDPL and NDMO.

Maintain a "control register" to track adherence to regulations, internal policies, and governance controls.

Others

Drive the creation of core Data Governance building blocks such as operating models, policies, processes, standards, and procedures without relying on external vendors.

Identify, research, and recommend open-source Data Governance tools or platforms to support scalability and long-term sustainability.

Continuously assess program performance against these KPIs and identify opportunities for optimization.

Collaborate with cross-functional teams of data stewards, business stakeholders, and IT professionals to implement Data Governance initiatives.

Provide expert advice to leadership, communicating complex data governance topics in clear, actionable terms.

Provide mentorship and oversight to the data governance team, ensuring alignment with organizational goals and fostering a culture of excellence.

Qualifications:

5 -11 Years experience in Data Governance, Data Management, Information Governance or any relevant functionality within the financial sector (Banking, FinTech, PSP, etc.).
Bachelor's or master's degree in law, Information Management, Business, or a related field (or equivalent experience).
Highly preferred certifications in Data Governance, Data Management or Data Privacy
Demonstrated expertise in standing up Data Governance frameworks, policies, and procedures from the ground up.
Strong understanding of key data privacy and protection regulations, including PDPL/GDPR, NDMO/DAMA and relevant UAE/Egyptian laws (High)

Familiarity with data governance technologies or open-source tools/platforms.

Our values guide how we think and act - They describe what we care about the most

C
ustomer first - It's embedded in our design thinking and customer service approach

O
pen - Openness allows us to constantly improve and evolve

R
eal - No jargon and no excuses

B
old - Constantly challenging ourselves and our way of thinking.

R
esilient – If we fail, we bounce back stronger than before.

C
ollaborative - We know that we can achieve a lot more as a team.

We are changing lives by constantly striving for a better solution.