Divpspan /span/p/divdivpspanAt EY, were all in to shape your future with confidence. /spanspan /span/p/divdivpspan /span/p/divdivpspanWell help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. /spanspan /span/p/divdivpspan /span/p/divdivpspanJoin EY and help to build a better working world. /spanspan /span/p/divdivp /p/divdivdivdivpstrongspanThe opportunity/span/strongspan /span/p/divdivpspan /span/p/divdivpspanOur EY Consulting ambition is to become the worlds leading transformation consultants, trusted to help our clients generate long-term value. Were building world-class capabilities in business, technology and people consulting to help us deliver on EYs purpose of building a better working world --- our firms broader ambition to become the worlds most trusted, distinctive professional services organization. /spanspan /span/p/divdivpspan /span/p/divdivpspanOur clients are at the heart of our new strategy. Were focused on solving the key issues of our client buyers, building deeper relationships, and making a greater impact. Were introducing a new go-to-market narrative --- Transformation RealizedTM --- to help us harness the core drivers of transformation that will create long-term value for our clients. /spanspan /span/p/divdivpspan /span/p/divdivpspanTo achieve this, we are seeking a Data Quality Engineer to join our Transformation RealizedTM Consulting practice. Our team is part of EYs Central, Eastern and Southeastern Europe amp; Central Asia (CESA) cluster, delivering market leading services to organizations across industries in Cyprus and internationally. /spanspan /span/p/divdivpspan /span/p/divdivpspanThe transformation imperative is urgent, challenging and opportunity-rich, interested to join us? /spanspan /span/p/divdivpspan /span/p/divdivpstrongspanYour key responsibilities/spanspan /span/strong/p/divdivdivpspan /span/p/divdivpspanData Profiling amp; Analysis/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanExecute comprehensive data profiling on source systems to identify data quality issues, patterns, and anomalies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanAnalyze large-scale datasets (millions of records) using statistical techniques for distributions, null rates, and outliers/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanProfile customer data to support deduplication and data matching requirements/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanDocument data quality findings and contribute to baseline metrics reporting/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanConduct cross-system data comparison to identify overlaps, conflicts, and data inconsistencies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPerform root cause analysis for data quality failures using systematic methodologies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanCreate Pareto charts and defect distribution analysis to support prioritization of remediation efforts/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspan /span/p/divdivpspanData Quality Rules amp; Validation/spanspan /span/p/divdivpspan /span/p/div/divdivdivul style=list-style-type:disclipspanImplement and maintain data quality rules across multiple business domains based on defined requirements/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanDevelop validation logic for business-specific rules including calculations, limits, and regulatory requirements/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanConfigure referential integrity checks across related data entities/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanBuild lookup validation rules to prevent mapping and definition mismatches/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExecute attribute-level validation to support high success rates with regression detection/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanTest and validate data quality rules in development and test environments before production deployment/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanData Cleansing amp; Transformation/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanImplement data cleansing rules for standardization, normalization, and enrichment based on specifications/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanApply address standardization and validation rules using industry-standard references/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExecute name parsing and normalization processes for improved data matching accuracy/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSupport engineering teams with ETL transformation logic and data mapping validation/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanImplement data quality checkpoints within data pipelines (pre-transformation, post-transformation, pre-load)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanValidate that exception handling and error routing mechanisms work correctly for data quality failures/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSupport customer deduplication processes with data quality validation for matching and merge operations/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanData Quality Monitoring amp; Reporting/spanspan /span/p/divdivpspan /span/p/div/divdivdivul style=list-style-type:disclipspanExecute real-time data quality monitoring across all data processing stages/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanDevelop and maintain automated workflows for continuous data quality validation using orchestration tools/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanConfigure alerting mechanisms for data quality threshold violations and degradation patterns/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanBuild and maintain data quality dashboards using PowerBI or Tableau for stakeholder visibility/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanTrack comprehensive data quality metrics including attribute success rates, volumetric reconciliation, and financial accuracy/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanCreate technical dashboards with drill-down capabilities for root cause investigation/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanContribute to/spanspan trend analysis visualizations to support regression pattern detection/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSupport /spanspandaily and weekly data quality reporting for technical and business stakeholders/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanDocumentation amp; Data Lineage/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanDocument data quality test cases, validation procedures, and testing results/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanMaintain data quality runbooks for issue resolution and troubleshooting/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSupport data lineage documentation showing transformation points and validation checkpoints/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanContribute to data quality assessment reports for stakeholder review/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanUpdate lessons learned repository with data quality insights from testing activities/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanMaintain up-to-date documentation of data quality rules, validation logic, and test coverage/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanCollaboration amp; Stakeholder Management/spanspan /span/p/divdivpspan /span/p/div/divdivdivul style=list-style-type:disclipspanCollaborate with test automation engineers on data validation strategies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanWork closely with data architects and ETL developers to understand data flows and transformation logic/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPartner with business analysts to translate business requirements into data quality validation rules/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanParticipate in defect triage meetings and provide data quality analysis/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPresent data quality findings to technical and business stakeholders/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSupport UAT activities by providing data quality insights to business subject matter experts/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanEnsure clear and consistent communication with all stakeholders throughout the data quality lifecycle/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpstrongspanSkills and attributes for success/spanspan /span/strong/p/divdivpspan /span/p/divdivpspanExperience amp; Education/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspan4-7 years of hands-on experience in data quality engineering or data analysis/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience in large-scale data migration programs with millions of records/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanBachelors degree in Computer Science, Information Systems, Data Science, Engineering, or related field (preferred)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanData Quality Expertise/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanStrong understanding of data quality dimensions: completeness, accuracy, consistency, validity, timeliness, uniqueness/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience designing and implementing data quality frameworks and validation rules/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanProficiency in data profiling techniques and statistical analysis/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of data cleansing, standardization, and normalization methodologies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with data reconciliation frameworks (volumetric, financial, attribute-level)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanTechnical Skills/spanspan /span/p/div/divdivdivpspan /span/p/divdivul style=list-style-type:disclipspanAdvanced SQL skills for complex data validation queries across multiple databases/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanProficiency in Python for data quality automation such as pandas, PyTest, sqlalchemy/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with data quality tools such as Great Expectations, PyDeequ, or enterprise DQ platforms ( Informatica, Talend)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of data warehouse platforms such as Snowflake, Databricks, Redshift/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with cloud technologies such as AWS, Azure, GCP for data processing/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanFamiliarity with ETL/ELT tools (AWS Glue, Apache Airflow, Databricks)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanVersion control with Git and CI/CD pipeline integration/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspan /span/p/divdivpspanData Analysis amp; Visualization/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanExperience creating dashboards and visualizations using PowerBI, Tableau, or similar tools/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanStrong analytical skills to identify patterns, trends, and anomalies in large datasets/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanAbility to perform statistical analysis and create meaningful metrics and KPIs/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with data visualization best practices for technical and executive audiences/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanMethodologies amp; Processes/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanSolid understanding of the software development lifecycle (SDLC) and Agile methodologies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with data governance principles and frameworks/spanspan /span/p/li/ul/div/divdivdivul style=list-style-type:disclipspanKnowledge of regulatory compliance requirements ( data protection standards)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanRoot cause analysis and problem-solving methodologies/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanStrong interest in continuous improvement and lessons learned application/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanSoft Skills amp; Work Style/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanStrong problem-solving skills and attention to detail/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExcellent command of English, both written and spoken/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanAbility to communicate complex technical concepts to non-technical stakeholders/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSelf-driven and flexible, can work autonomously with proven work ethic/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanTeam player who enjoys working with people from different backgrounds and disciplines/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanAbility to work in a dynamic environment with excellent organizational and time management skills/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanAble to exhibit a high level of confidentiality/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpstrongspanIt will be a plus if you have:/spanspan /span/strong/p/divdivpspan /span/p/divdivpspanDomain Knowledge/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanExperience in financial services, insurance, banking, or highly regulated industries/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanUnderstanding of insurance policy lifecycle and claims workflows/spanspan /span/p/li/ul/div/divdivdivul style=list-style-type:disclipspanKnowledge of customer data management and master data management (MDM) principles/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanFamiliarity with regulatory requirements ( PCI-DSS)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanAdvanced Technical Capabilities/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanExperience with PySpark for large-scale data processing/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of machine learning techniques for data quality improvement (anomaly detection, predictive quality)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with Docker and Kubernetes for containerized data quality processes/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanFamiliarity with data masking, anonymization, and synthetic data generation/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of Infrastructure as Code tools (Terraform, CloudFormation)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanData Quality Tools amp; Platforms/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanHands-on experience with enterprise data quality platforms ( Informatica DQ, Talend)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with open-source data quality frameworks ( Great Expectations, Deequ, Soda)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of data catalog tools ( Collibra, Alation, Apache Atlas)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with data observability platforms ( Monte Carlo, Datadog)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanMigration amp; Transformation Experience/spanspan /span/p/divdivpspan /span/p/div/divdivdivul style=list-style-type:disclipspanPrevious involvement in large-scale data migration programs (1M+ records)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanExperience with merger and acquisition data integration projects/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanUnderstanding of customer deduplication and entity resolution challenges/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanKnowledge of legacy system modernization and cloud migration patterns/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpspanCertifications/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspanData quality or data management certifications such/spanspan as /spanspanCDMP, DGSP/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanCloud certifications such/spanspan as /spanspanAWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanSnowflake or Databricks certifications/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanISTQB or software testing certifications/spanspan /span/p/li/ul/div/div/div/divdivdivp /ppstrongspanWhat we offer you/spanspan /span/strong/p/divdivpspan /span/p/divdivpspanAt EY, well develop you with future-focused skills and equip you with world-class experiences. Well empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. /spanspan /span/p/divdivpspan /span/p/divdivpspanIn addition to a competitive salary, our benefits include but are not limited to:/spanspan /span/p/divdivpspan /span/p/divdivul style=list-style-type:disclipspan13th salary/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanProvident Fund/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPrivate Medical and Life Insurance/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanFlexible working arrangements (hybrid work and flexible work schedule)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanFriday afternoon off/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanEY Tech MBA and EY MSc in Business Analytics/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanEY Badges - digital learning certificates/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanMobility programs (if interested to work abroad)/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPaid Sick Leave/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanPaid Paternity Leave/spanspan /span/p/li/ul/div/divdivdivul style=list-style-type:disclipspanYearly wellbeing days off/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanMaternity, Wedding and New Baby Gifts/spanspan /span/p/li/ul/divdivul style=list-style-type:disclipspanEY Employee Assistance Program (EAP) (counselling, legal and financial consultation services)/spanspan /span/p/li/ul/divdivpspan /span/p/divdivpstrongspanAbout EY/spanspan /span/strong/p/divdivpspan /span/p/divdivpspanEY | Building a better working world/spanspan /span/p/divdivpspan /span/p/divdivpspanEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. /spanspan /span/p/divdivpspan /span/p/divdivpspanEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. /spanspan /span/p/divdivpspan /span/p/divdivpspanWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. /spanspan /span/p/divdivpspan /span/p/divdivpspan#betterworkingworld/spanspan /span/p/divdivpspan /span/p/divdivpspanIf you can demonstrate that you meet the criteria above, please contact us as soon as possible. /spanspan /span/p/divdivpspan /span/p/divdivpspanThe exceptional EY experience. Its yours to build. /spanspan /span/p/div/div