Data Quality Engineer Job at Beacon Hill (Wayne)

Data Control & Data Quality Engineer

As a Data Quality Engineer, you will play a key role in the design, build, confi...

Location

Egypt

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

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

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

What we offer

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

Data Governance & Data Quality Platform Engineer

We are seeking a Data Governance & Data Quality Platform Engineer to own the tec...

Location

United States , Houston

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

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

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

medical
vision
dental
life and disability insurance
401(k) plan

Senior Test Engineer (Data Quality)

The project is a web-based platform for financial advisors. The client portal al...

Location

Poland;Croatia;Ukraine

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience as a QA Engineer, QA Tester, or similar manual testing role
Experience testing data-heavy applications, ETL pipelines, or API-driven integrations
Strong understanding of software testing methodologies and QA best practices (functional, regression, integration, end-to-end, UAT)
Experience designing and executing test plans, test cases, and test suites based on requirements and technical specifications
Solid experience with defect tracking and test management tools (Jira, TestRail, or similar)
Experience with SQL for data validation and query-based verification of application behavior
Ability to perform data integrity testing across integrations and processing workflows
Strong analytical and troubleshooting skills with a structured approach to root cause analysis
Familiarity with Agile/Scrum practices and SDLC
Excellent communication skills

Job Responsibility

Participate in the development, maintenance, and ownership of quality assurance procedures, work instructions, and testing processes related to data pipeline initiatives
Assist in tracking, documenting, and reporting quality metrics for software and data pipeline development efforts
Collaborate closely with engineering and product teams to support the delivery of high-quality, defect-free solutions
Participate in root cause and causal analysis activities for defects and nonconformities, identifying corrective and preventive actions
Develop and maintain procedures for capturing, investigating, documenting, and resolving product issues and customer complaints
Monitor risk management processes and maintain issue and defect logs for reporting and trend analysis
Support CAPA (Corrective and Preventive Action) activities related to component and process quality
Interpret, implement, and ensure compliance with company quality assurance standards and best practices
Maintain accurate documentation and records for quality assurance activities, audits, defects, and remediation efforts
Identify opportunities for process improvement and contribute to continuous improvement initiatives

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Team of professionals
Dynamic environment with a low level of bureaucracy

Fulltime

Biology Data Quality Engineer

Bioptimus is building the first universal AI foundation model for biology to fue...

Location

Salary:

Not provided

Bioptimus

Expiration Date

Until further notice

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

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

Competitive salary and equity package
Flexible work arrangements, including remote options
Opportunities for professional growth and leadership development

Data Quality Engineer Tester

The Data Quality Engineer Tester role involves validating data sources and ensur...

Location

India , Remote

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

2-4 years SQL Mastery: Strong proficiency in writing complex SQL queries for backend data validation, including joins, subqueries, and aggregations
2-4 years Scripting/Programming: data manipulation, automation, and testing
2-4 years ETL & Database Knowledge: Understanding of data warehousing, data modeling (star/snowflake schemas), and ETL tools (e.g., Informatica, Talend)
2-4 years Big Data Frameworks: Familiarity with distributed computing systems like Apache Spark or Hadoop
2-4 years Cloud Platforms: Familiarity with cloud data services AWS S3/Redshift
2-4 years Testing Tools: Experience with testing tools like Great Expectations, dbt, or automated testing frameworks

Job Responsibility

Data Validation (ETL Testing): Validating data sources, extraction, transformation logic, and loading (ETL) to ensure data integrity
Pipeline Testing: Designing and executing test cases for data pipelines (e.g., in AWS Glue, Azure Data Factory, or Apache Airflow) to ensure smooth, secure, and accurate data flow
Test Automation: Developing automated test scripts using Python, PySpark, or SQL to validate large datasets and reduce manual testing effort
Data Quality Rules & Checks: Creating and enforcing checks based on data completeness, transformation logic, and data mapping documents
Defect Management: Identifying, documenting, and tracking data-related defects, and working with engineers to troubleshoot root causes
Performance Testing: Testing for scalability and performance bottlenecks to ensure data systems handle high-volume data

Fulltime

Remote Data Quality Assurance Engineer

We are seeking a highly skilled Senior Data Quality Assurance Engineer to lead d...

Location

Mexico , Monterrey

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Data profiling, validation, standardization, and cleansing
Python and Unix/Linux scripting
ETL, Informatica & DataBricks experience
data migration experience is a plus
Bachelor's Degree in related field or equivalent experience required
4+ years of hands-on experience in data quality or data governance role with a focus on test data management, including at least 2 years in a lead or senior QA role
5+ years of advanced experience querying complex data structures and performing root-cause analysis
Advanced knowledge of ETL process and techniques.

Job Responsibility

Lead QA planning, strategy, and execution for data migration projects
Provide guidance and mentorship to the DQA team (onshore, offshore, nearshore)
Foster a culture of accountability, collaboration, and continuous improvement across teams
Serve as the primary escalation point for Data Quality Assurance (DQA) and User Acceptance Testing (UAT)
Stay current with emerging technologies and best practices in test strategies, automation, and quality engineering
Design and implement scalable test automation frameworks for validating data pipelines and transformations
Develop and maintain automated test scripts for ingestion, transformation, and output validation
Support development teams in adopting shift-left testing practices
Drive quality innovation through new technologies, testing tools, and automation solutions
Ensure adherence to data quality dimensions, industry best practices, SOX compliance, and security policies

What we offer

Negotiable salary
Grocery Tickets - 12%
Saving funds - 13% of base salary
30 days of Christmas bonus
12 days of vacations
50% Vacation bonus
5 personal days per year
Medical insurance (You and your family)
Life insurance
Opportunity to grow in the company

Fulltime

Data Quality Assurance Engineer

The Software Quality Assurance / Testing Engineer is a seasoned subject matter e...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Seasoned expertise in software QA methodologies, tools, and processes
Interpersonal, communication, and organizational skills
Team player with good attention to detail
Excellent ability to understand and analyze complex systems
Seasoned understanding of SQL and scripting
Seasoned understanding of software development process
Seasoned expertise in agile development such as Scrum
Seasoned understanding of software integrated development environments
Seasoned ability to handle client and customer issues tactfully and professionally
Seasoned understanding of object-oriented programming

Job Responsibility

Works across multiple teams to ensure the planning, execution, reporting, and successful completion of QA activities for all new development cycles for various releases
Contributes to Agile-related user story review meetings and/or work with relevant business stakeholders and developers to understand the new or modified application functionality
Networks with the required user community (such as Regions or the Product Owner) to understand business requirements and uphold quality of each release by ensuring a comprehensive end-to-end testing coverage
Designs and implements end-to-end test scenarios, as well as debugging and defining corrective actions
Contributes to performing and documenting risk analysis and record test progress and results
Performing thorough regression testing when bugs are resolved
Works across multiple teams to review requirements, specifications, and technical design documents to provide timely and meaningful feedback
Creates detailed, comprehensive, and well-structured test plans and test cases
Designs, develops, codes, and executes automation scripts
Works across multiple teams to identify, record, document thoroughly, and track bugs and develop and apply testing processes for new and existing products to meet client needs

Fulltime

Quality Automation Engineer - Data

We are looking for a Data Quality Engineer to design and implement robust data q...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
5–8 years of experience in data-related roles
Strong problem-solving and analytical skills
Clear communication and documentation abilities
Experience working in cross-functional teams
Databricks (PySpark, Delta Lake, SQL)
Snowflake
Azure Data Factory
Informatica
Teradata

Job Responsibility

Develop and maintain data quality checks and validation frameworks
Collaborate with data engineers and analysts to identify and resolve data issues
Monitor data pipelines for anomalies and inconsistencies
Implement data profiling and cleansing processes
Ensure adherence to data governance and compliance standards
Automate data quality reporting and alerting mechanisms
Contribute to continuous improvement of data quality practices

Fulltime

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