CrawlJobs Logo

Data Control & Data Quality Engineer

Egypt · Job Posted March 18, 2026
Apply Position
Job Link Share

Job Description

As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic’s Data Quality Management products, with a primary focus on the Data Control Center (DCC). You will work closely with the Data Quality & Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization. This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.

Job Responsibility

  • Build, configure and maintain Data Quality controls in the Data Control Center (DCC)
  • Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives
  • Ensure DQ controls are aligned with agreed business definitions and standards
  • Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability
  • Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders
  • Support incident resolution and contribute to continuous operational improvements
  • Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities
  • Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes
  • Identify opportunities to automate monitoring and reduce manual effort for stakeholders
  • Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns
  • Support stakeholders with insights and reporting to track performance and drive quality improvement actions
  • Support data standards operationalization by ensuring alignment between published standards and DQ checks
  • Support adoption and compliance visibility by enabling reporting and transparency on standards adherence
  • Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption
  • Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement
  • Run demos and workshops when needed to support rollout, stakeholder understanding and adoption
  • Support release and testing activities, including UAT support and regression testing
  • Maintain basic documentation of implemented DQ checks, logic, definitions and changes

Requirements

  • 3+ years in data engineering / analytics engineering / data quality engineering
  • Strong SQL and Python for scalable data validation and monitoring
  • Experience working with Databricks and modern data pipelines (ADF or similar)
  • Strong analytical and problem-solving mindset with attention to detail and quality
  • Ability to translate business requirements into technical implementation and measurable outcomes
  • Comfortable working across multiple stakeholders in a cross-functional environment
  • Strong communication skills and ability to explain technical topics to non-technical audiences
  • Ownership mindset: proactive, reliable and continuously improving solutions
  • SQL
  • Python
  • PySpark
  • Azure Databricks
  • Azure Data Factory
  • Power BI

Nice to have

  • Power Platform (Power Automate, etc.)
  • Microsoft Fabric
  • Copilot Studio
  • Experience working in a Data Mesh framework and/or domain data product mindset
  • Good awareness of key SAP MDG, MM, S/4HANA domains

What we offer

  • Equal opportunity employer
  • IT Equipment
  • Medical Insurance
  • Work with iconic brands
  • Supportive team
  • Volunteering Opportunities
  • Wellbeing program

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Control & Data Quality Engineer

8 matching positions

Data Governance & Data Quality Platform Engineer

We are seeking a Data Governance & Data Quality Platform Engineer to own the tec...
Location
Location
United States , Houston
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Data Engineering, or a related field
  • Hands‑on experience administering data governance and data quality platforms (e.g., Atlan, Monte Carlo, DQ tools), including API‑based integrations
  • Strong understanding of data catalogs, data lineage, and metadata management
  • Solid knowledge of data governance principles and data quality frameworks
  • Familiarity with Data Mesh concepts and decentralized data ownership models
  • Experience building data products and supporting orchestration workflows
Job Responsibility
Job Responsibility
  • Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows
  • Configure data quality tools for profiling, rule creation, and monitoring dashboards
  • Manage platform security, including user roles, authentication, SSO, RBAC, and access controls
  • Develop and maintain integrations across data sources, databases, data lakes, and BI tools
  • Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks
  • Configure and maintain connectors for analytics and reporting platforms
  • Monitor platform health and optimize performance and scalability
  • Apply upgrades, patches, and troubleshoot technical issues
  • Implement logging, alerting, and proactive monitoring for governance and data quality environments
  • Provide Tier 3 support for platform‑related incidents and escalations
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Read More
Arrow Right

Senior Quality Control Engineer

We have recently expanded Geomiq and created a new Quality hub in India, Bengalu...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
geomiq.com Logo
Geomiq
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or equivalent in Mechanical, Electrical, or Manufacturing Engineering
  • Able to read and understand technical Engineering Drawings (ideally for CNC machined parts at a minimum)
  • 5 to 8 years experience working as a Quality Control Specialist within the manufacturing industry
  • Experience in manufacturing of metal and plastic components (CNC, Injection Moulding, Sheet Metal would be a bonus)
  • Track record of excellent problem-solving and process improvement
  • Ability to deliver results in an ambiguous environment where decisions must be made quickly
  • High attention to details and data-driven approach
  • Experience working in a fast-paced environment
Job Responsibility
Job Responsibility
  • Conduct regular inspections and testing of manufactured parts to ensure they meet predefined specifications and quality standards. This includes using various measurement and testing tools to check dimensions, functionality, and durability of the products
  • Verify that all products align with the technical drawings and specifications. This involves detailed comparisons against engineering drawings and ensuring that every component matches the required tolerances and parameters
  • Maintain accurate records of quality checks, results of inspections, and testing processes
  • Prepare detailed reports summarising findings and share with management and relevant departments. Ensuring all job cards are accurately completed and filled out
  • Work collaboratively with the wider team to resolve issues, determine root causes, and suggest corrective actions to prevent recurrence
  • Regularly communicate with stakeholders involved in the orders to provide updates and collect feedback
  • Lead initiatives aimed at continuous improvement in quality control practices
What we offer
What we offer
  • Competitive Salary
  • Stocked Pantry
  • Public National Holidays: 3 fixed national holidays, including Republic Day, Independence Day, and Gandhi Jayanti
  • Flexible Regional Public Holidays: 7 additional days
  • Earned Vacation Leave: 15 days of paid vacation annually
  • Sick Leave: 5 days of paid sick leave
  • Birthday Leave: an extra day off
  • Professional Development: training programs, mentorship, and internal promotion opportunities
  • Lunch provided
  • Fulltime
Read More
Arrow Right

Biology Data Quality Engineer

Bioptimus is building the first universal AI foundation model for biology to fue...
Location
Location
Salary
Salary:
Not provided
bioptimus.com Logo
Bioptimus
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • MSc in Biology, Computational Biology, Bioinformatics
  • Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations
  • Good knowledge of genomics and proteomics data
  • Proven experience in implementing data quality control procedures and pipelines
  • Familiarity with data validation tools and techniques
  • Strong analytical and problem-solving skills
  • Proficiency in Python
  • Good knowledge of data visualization libraries (e.g. matplotlib)
  • Excellent written and verbal communication skills
Job Responsibility
Job Responsibility
  • Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical)
  • Ensure data integrity, consistency, and accuracy through rigorous quality checks
  • Design and implement automated data quality pipelines
  • Data Curation & Standardization: Establish and enforce data standardization practices
  • Curate datasets to enhance their usability for machine learning
  • Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns
  • Communicate data quality findings and recommendations effectively
  • Communicate and synchronize with external data providers
  • Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications
  • Generate regular reports on data quality metrics and trends
What we offer
What we offer
  • Competitive salary and equity package
  • Flexible work arrangements, including remote options
  • Opportunities for professional growth and leadership development
Read More
Arrow Right

Senior Quality Control Engineer

This role ensures the highest standards in material, process, and finished produ...
Location
Location
Vietnam , Bien Hoa
Salary
Salary:
Not provided
ppg.com Logo
PPG Industries
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in relevant discipline, Chemistry is preferred
  • Minimum 3+ years of working experience in manufacturing plants preferably in paint industry in the similar position
  • Knowledge of paint or chemicals will be added advantage
  • Knowledge / Qualification in Lean Six Sigma will be an added advantage
  • Able to communicate with a larger team internal and external country both in local language and English
Job Responsibility
Job Responsibility
  • Improve QC accuracy with zero SSPL and complaint cause from QC miss interpretation on the result and take part in quality assessment for expired material and products to support technical team to extend self-life of material and product
  • Work closely with production line to fix QC issue with toller to keep line running smoothly
  • Coordinate and support new product development activity related to product Quality
  • Lead the first lot control process working together with technical
  • Work across departments to drive / improve First Run Capability
  • Assure the product quality is consist per customer requirements
  • Lead the investigation for product quality problems, determine root cause, gather and analyze data and implement corrective action to reduce or eliminate cause
  • Routinely review regular inspection data and prepare statistical and operational performance reports
  • Monitor and perform quality activities to support First Lot Control (FLC) process and review the stock shelf life in advance to ensure the stock is life and ready to use without any issues
  • Fulltime
Read More
Arrow Right

Quality Control Engineer

The Quality Control Engineer addresses and resolves quality issues through timel...
Location
Location
United States , Columbus
Salary
Salary:
Not provided
adbsafegate.com Logo
ADB Safegate
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Engineering (Mechanical, Electrical, Manufacturing, or related) or equivalent experience
  • Minimum 3 years of hands on manufacturing Quality experience (in line production support, troubleshooting, or test engineering)
  • Demonstrated experience performing root cause analysis and driving CAPA to completion
  • Proficient in data analysis and statistical methods (SPC, capability studies, Gage R&R)
  • Working knowledge of ISO9001 quality systems
  • Able to read and interpret engineering drawings, assembly drawings, and process documents
  • Strong working knowledge of MS Office (Excel, Word, PowerPoint, Outlook)
  • Comfortable working on the production floor, hands on troubleshooting of electrical/mechanical assemblies, and traveling to customer sites when needed
  • Excellent written and verbal communication skills
Job Responsibility
Job Responsibility
  • Act as the frontline investigator for production and field quality issues: collect data, replicate failures, perform hands on testing and inspection, and lead containment and corrective action
  • Own root cause analysis activities and drive corrective and preventive actions (CAPA) to closure with verification of effectiveness
  • Work side by side with production associates to identify nonconformance, implement containment and train operators to prevent recurrence
  • Establish, perform, and improve incoming inspection procedures
  • receive and disposition nonconforming incoming materials
  • Maintain and control calibration records for inspection/test equipment and ensure measurement traceability
  • Collect and analyze quality data (defect rates, scrap/rework, yield, process capability)
  • generate actionable reports and present trends to stakeholders
  • Lead or participate in productivity and quality improvement projects (DOE, Kaizen, Lean, SPC), and support engineering design improvements to enhance manufacturability and robustness
  • Support internal and external audits as required
What we offer
What we offer
  • A dynamic and challenging environment that encourages growth and learning
  • Opportunities to shape the future of our industry and make a significant impact on our company's business
  • A collaborative culture that values innovation, integrity, and inclusivity
  • Competitive compensation packages, including health benefits
  • Fulltime
Read More
Arrow Right

Data Quality Control

In this pivotal role, you will have a strong focus on Data Quality Control, ensu...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
spare-parts-3d.com Logo
Spare Parts 3D
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Microsoft Excel
  • General knowledge of mechanical engineering
  • Critical thinking skills
  • Fluent in English
Job Responsibility
Job Responsibility
  • Working closely with the operations team on ongoing projects to qualify data used by our product DigiPART Identify (up to 80%)
  • Improving the quality of historical customer data in our database which is a crucial component in our enrichment process
  • Consolidate and feedback on the non-quality to improve the data extraction methods
What we offer
What we offer
  • Competitive salary: 1000 – 1200 SGD
  • Hybrid work option available
  • Flexible on working hours
  • Comprehensive training materials with Standard Operating Procedures (SOPs)
  • Direct mentorship from industry experts
  • Engage in hands-on projects offering real-world experience
  • Parttime
Read More
Arrow Right

Senior Quality Control Engineer

This role is responsible for ensuring the effectiveness and efficiency of ICEYE’...
Location
Location
Finland , Espoo
Salary
Salary:
Not provided
iceye.com Logo
ICEYE
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Engineering, preferably in Mechanical or Mechatronics Engineering, or equivalent practical experience in a production or quality-focused environment
  • Minimum 7 years of experience in a Quality Control or Quality Engineering role within aerospace, defense, or high-reliability manufacturing environments, with proven responsibility for inspection strategy, process improvement, and technician supervision
  • Strong understanding of inspection methods, measurement systems, and quality standards (e.g., IPC, ISO 9001, AS9100)
  • Skilled in interpreting engineering drawings, Geometric Dimensioning and Tolerancing, and manufacturing documentation
  • Proficient in quality data analysis, root-cause investigation, and use of ERP/MES systems
  • Experience preparing quality documentation and reports
  • Demonstrated leadership and mentoring abilities (Influencing QC technicians), with a proactive and hands-on approach to problem-solving. Strong sense of ownership, attention to detail, and collaboration across multidisciplinary teams
  • Familiarity with continuous improvement methodologies (e.g., Lean, Six Sigma)
  • Fluency in English (written and verbal)
Job Responsibility
Job Responsibility
  • Lead and oversee day-to-day quality control operations, providing guidance, mentorship, and technical direction to QC technicians
  • Define and continuously refine inspection strategies, focusing on efficiency, risk-based prioritization, and avoidance of under-inspection and over-inspection
  • Develop and maintain inspection plans, checklists, and quality documentation in close coordination with Design and Process Engineering
  • Monitor and analyze QC performance metrics (e.g., inspection yield, non-conformance trends, time to close deviations)
  • Drive continuous improvement initiatives within QC operations by identifying recurring issues, inefficiencies, and training needs
  • Collaborate closely with Design Engineering and Process Engineering to ensure manufacturability and inspectability are considered early in the product lifecycle
  • Support broader Mission Assurance & Reliability activities such as audits, root-cause analyses, and process qualification reviews
  • Champion a culture of quality awareness and accountability within production teams
What we offer
What we offer
  • Occupational healthcare, occupational, and accident insurance
  • A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)
  • Phone subscription with iPhone of choice
  • Relocation support (i.e. flight tickets, accommodation, relocation agency support)
  • Time for self-development, research, training, conferences, or certification schemes
  • Inspiring and collaborating offices and silent workspaces enable you to focus
  • Fulltime
Read More
Arrow Right

Data Quality Engineer, AI Business

As a Data Quality Engineer within Prolific AI Data Services, you will be the qua...
Location
Location
Salary
Salary:
Not provided
prolific.com Logo
Prolific
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in quality engineering, data or annotation quality, analytics engineering, trust and integrity, or ML/LLM evaluation operations
  • Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence levels, and agreement metrics
  • A proven track record of turning ambiguous or messy quality problems into clear metrics, automated checks, and durable process improvements
  • Strong quality systems thinking, with the ability to translate complex edge cases into clear rules, tests, rubrics, and governance mechanisms
  • Hands-on experience instrumenting workflows and implementing pragmatic automation that catches quality and integrity issues early
  • Demonstrated ability to influence cross-functional teams (Product, Engineering, Operations, Client teams) and drive change without direct authority
  • Strong customer empathy, with a clear understanding of what “useful, trustworthy data” means for research, AI training, and evaluation use cases
Job Responsibility
Job Responsibility
  • Own end-to-end quality design for Prolific managed service studies, including rubrics, acceptance criteria, defect taxonomies, severity models, and clear definitions of done
  • Define, implement, and maintain quality measurement systems, including sampling plans, golden sets, calibration protocols, agreement targets, adjudication workflows, and drift detection
  • Build and deploy automated quality checks and launch gates using Python and SQL, such as schema and format validation, completeness checks, anomaly detection, consistency testing, and label distribution monitoring
  • Design and run launch readiness processes, including pre-launch checks, pilot calibration, ramp criteria, full-launch thresholds, and pause/rollback mechanisms
  • Partner with Product and Engineering to embed in-study quality controls and authenticity checks into workflows, tooling, and escalation paths
  • Write and continuously improve guidelines and training materials to keep participants, reviewers, and internal teams aligned on evolving quality standards
  • Investigate quality and integrity issues end to end, running root-cause analysis across guidelines, UX, screening, training, and operations, and driving corrective and preventive actions (CAPAs)
  • Build dashboards and operating cadences to track defect rates, rework, throughput versus quality trade-offs, integrity events, and SLA adherence
  • Lead calibration sessions and coach QA leads and reviewers to improve decision consistency, rubric application, and overall quality judgement
  • Translate one-off quality fixes into repeatable, scalable playbooks across customers, programs, and study types
Read More
Arrow Right