Senior Data Platform Specialist Job at Randstad (Budapest)

Senior Data Conversion Specialist

We are currently seeking a Senior Data Conversion Specialist to join our team in...

Location

Canada , Ottawa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Must have 10+ years of experience working in a similar Information Management, Data Governance, or Data Lifecycle Management role
Must have 3+ years of recent experience working with Microsoft Purview and other M365 tools (e.g., Power Automate, PowerPoint, SharePoint, Teams) in a governance or compliance context
Must hold a valid Reliability Security Clearance with the Government of Canada
Must have a Canadian university degree or college/CEGEP diploma related to computer science, business administration, information technology, or engineering or the equivalent as established by a recognized Canadian academic credentials assessment service

Job Responsibility

Assess Microsoft Purview's Data Management Lifecycle to determine whether and how the 1000 available retention labels can be repurposed once configured
Develop a comprehensive retention label allocation strategy, considering clients function-based classification plan, with retention schedules, being incomplete and anticipated future program creation requiring new labels
Recommend approaches to streamline retention labels and disposition processes, including strategies to consolidate and reduce usage to within the 1,000-label limit
Provide contingency recommendations using other M365 tools (e.g., Power Automate), should the 1,000-label hard limit prove insufficient
Design methods to manage and operationalize complex retention triggers, leveraging workflows and/or metadata, to ensure compliance and efficiency
Prepare implementation documentation (e.g., a how-to guide) suitable for sharing with classified teams to support their adoption of Purview
Compile all findings and recommendations into a comprehensive written report, accompanied by a PowerPoint presentation summarizing key insights for senior management
Oversee all facilities of the conversion process
Complete mapping, interfaces, mock conversion work, enhancements, actual conversion, and verify completeness and accuracy of converted data
Establish a strong working relationship with all clients, interact effectively with all levels of client personnel, and provide conversion support

Fulltime

Senior Data Governance Specialist

Are you driven by a passion for data governance and excited by the opportunities...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
Experience with Collibra or similar tools: Demonstrated expertise in successfully implementing, managing, and configuring Collibra or comparable platforms, including proficiency in handling workflows, data dictionaries, business glossaries, and data quality management
Technical Mastery: Strong understanding of data governance frameworks, methodologies, and standards (e.g., DCAM, DAMA, BCBS 239)
Proficiency in SQL, data management tools and Python or R a plus
Financial Services: Experience in financial services would be a plus
Fluent in English

Job Responsibility

Lead the formulation and implementation of enterprise data governance policies, procedures, and standards aligned with industry best practices, BCBS 239, and applicable regulatory mandates
Collibra: Oversee the deployment and management of Collibra, optimizing workflows, data dictionaries, business glossaries and data quality processes to enhance data lineage, metadata management, and quality monitoring
Data Quality: Partner with the Data Quality Manager and cross-functional teams to support data quality initiatives, contribute to issue resolution, and ensure governance standards enable data integrity, accuracy, and consistency
Collaborative Partnership: Define and embed data governance roles, responsibilities, and stewardship across the organization, fostering accountability and a culture of data ownership
Risk Mitigation: Lead data governance assessments to identify control gaps, define remediation actions, and mitigate data management risks
Educational Advocate: Act as a data governance evangelist, delivering impactful training sessions and supporting stakeholders in understanding and adopting data governance practices
Project Oversight: Manage and deliver governance, metadata, and data literacy initiatives across business units, ensuring alignment with enterprise priorities and measurable outcomes
Compliance Enforcer: Ensure all data governance practices comply with relevant regulations and proactively address data-related risks
Compliance Enforcer & Trend Watcher: Ensure governance practices meet regulatory expectations, proactively address data-related risks, and continuously monitor regulatory developments and industry trends to keep practices current and effective

Lead Data Integration Specialist / Senior Full Stack Engineer

Lead Data Integration Specialist / Senior Full Stack Engineer – New York – Compe...

Location

United States , New York

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in developing production-ready software
Experience maintaining and working with data integrations / external API sources
Demonstrates skill in manoeuvring both front-end and backend technical projects
Brings to the table a collaborative mindset, having effectively led engineering teams
Demonstrates a remarkable ability to adapt swiftly to the evolving needs of our growing organization
Proficient in client-side technologies such as TypeScript, JavaScript (ES6/React), HTML/CSS
Server-side proficiency in Python (Django)
Holds practical experience in managing relational databases, with a strong command over PostgreSQL

Job Responsibility

Design and build a scalable platform that simplifies the creation/operation of hundreds of data partner integrations
Liaise with engineers, designers, and product managers to translate our product and technical vision into a concrete roadmap
Partner with third-party vendors & our clients to gather requirements and co-create solutions
Craft high-quality, thoroughly-tested code that meets the unique requirements of our clients
Provide technical mentorship and guidance to fellow engineers

What we offer

Competitive Package
Unlimited PTO and flexible work policy

Fulltime

Enterprise Data Science Senior Specialist

Act as a senior individual contributor responsible for implementing enterprise c...

Location

Egypt , Giza

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Excellent hands‑on experience with machine learning and deep learning algorithms
Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI)
Minimum 4–6 years of experience in data science, AI, and analytics roles
Proven experience in building and deploying AI/ML models in production environments
Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively
Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying
Experience with big data analytics frameworks, including PySpark and Spark clusters
Strong skills in data mining, feature engineering, and time‑series forecasting
Good working knowledge of Linux operating systems
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Job Responsibility

Translate customer and product requirements into clear data science and AI implementation tasks
Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases
Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms
Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions
Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams
Apply best practices in feature engineering, model selection, evaluation, and optimization
Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking
Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality
Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes
Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders

Senior Data Quality Specialist

Are you driven by building trusted, decision-grade data in a regulated environme...

Location

Luxembourg , Luxembourg

Salary:

Not provided

Quintet Private Bank

Expiration Date

Until further notice

Requirements

Further professional Education (Masters / Professional qualification)
More than 5 years experience in a similar role
Experience with data profiling, data lineage, and metadata management and ability to translate business requirements into implementable data quality rules
Strong understanding of data Quality frameworks, methodologies, and standards (e.g., DCAM, DAMA)
Experience with Collibra or similar tools: Demonstrated expertise in successfully implementing data quality in Collibra or comparable platforms, including proficiency in handling workflows, data dictionaries, business glossaries
Proven track record of supporting data-driven transformations in complex environments
Strong knowledge of with data technologies like SQL, Python, ETL tools, Apache Spark, and modern API frameworks
Strong understanding of data modeling, metadata management, and data integration
Fluent in English

Job Responsibility

Group Data Quality Framework: Continuously enhance the bank data quality framework in alignment with data governance policies by defining and maintaining data quality dimensions, rules, thresholds, and KPIs (accuracy, completeness, timeliness, consistency, validity, uniqueness), and by establishing critical data elements with clear ownership and controls
Data Quality Monitoring & Controls: Implement automated data quality controls using Collibra and integrated data platforms, perform and operationalise data profiling across critical datasets to identify anomalies, patterns, and data defects, build data quality dashboards and scorecards for executive and domain-level visibility, and ensure root cause analysis and remediation workflows are embedded and tracked
Regulatory & Risk Alignment: Ensure data quality practices support regulatory obligations, client reporting, and financial disclosures, partner with Risk and Compliance to ensure auditability, lineage, and control evidence, and lead responses to internal audit and regulatory reviews relating to data quality
Data Quality and Accessibility: Ensure business teams have access to accurate, high-quality data for decision-making and monitor and improve data integrity across systems and processes
Data Issue Management & Remediation: Establish and operate a data issue management lifecycle covering identification, triage, remediation, closure, and prevention, drive business ownership of data quality issues with clear SLAs and accountability and ensure systemic fixes rather than manual patches
Data Ownership & Stewardship: Embed data ownership and stewardship models across domains, coach and support Data Stewards in defining and maintaining data quality rules, and drive data literacy and awareness across business and technology teams
Integration with Data Lifecycle: Embed data quality controls into data pipelines, onboarding processes, and transformation layers, work closely with Data Engineering to ensure quality by design, and ensure new use cases and products include data quality controls from inception

Senior Data Analytics Specialist

We are seeking a highly experienced data analytics professional with deep expert...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

More than 10 years of data analytics experience
4+ years working with Google Cloud Platform and Looker
Skilled in DBT, Data Vault modelling, and workflow orchestration using Airflow
Proficient in Looker and Tableau for analytics visualisation and reporting
Highly capable in SQL and Python programming
Knowledgeable in telecom roaming processes and data flows
Experienced in version control and work tracking tools such as GitHub and Jira
Able to translate business requirements into meaningful, scalable analytics solutions
Skilled in developing and optimising multi‑source data models

Job Responsibility

Lead and guide a team of data analysts, enabling delivery of high‑impact analytics solutions
Design and implement scalable data models, including LookML models for Looker dashboards
Apply DBT and Data Vault modelling techniques to develop robust and modern data architectures
Build and maintain advanced data pipelines using Google Cloud Platform services such as BigQuery, Composer, Dataflow and Google Cloud Storage
Ensure data integrity through reliable backup and recovery processes
Modernise data lakes and data warehouses to meet evolving business needs
Automate repetitive data activities to improve operational efficiency
Collaborate with stakeholders to gather clear analytical requirements and translate them into technical solutions
Deliver strategic recommendations for effective data management and performance optimisation
Identify and address performance bottlenecks across data platforms

What we offer

Opportunity to work on next‑generation cloud analytics solutions across a global telecom environment
Exposure to modern data engineering frameworks, advanced analytics platforms, and fast‑evolving cloud technologies
Collaboration with diverse global teams across markets and functions
A role that enables both technical leadership and strategic influence
A workplace that values innovation, continuous learning, and inclusive growth

Fulltime

Senior Data Governance Specialist

The Senior Data Governance Specialist is responsible for establishing, driving, ...

Location

United States , Houston

Salary:

80.00 - 90.00 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Management, MIS, or related field
7–10+ years relevant experience in data governance, data management, analytics engineering, or data quality
Deep expertise in metadata, master data, data quality, lineage, and regulatory compliance
Hands-on experience with Atlan and Monte Carlo or comparable platforms is strongly preferred
Strong SQL + BI background, with experience in integrating catalog/observability data into dashboards
Proven stakeholder leadership with ability to influence senior leaders across business, engineering, Legal, Security, and Compliance
Excellent communication and ability to simplify complex data concepts

Job Responsibility

Develop and maintain the enterprise DG strategy, policies, standards, and processes
Define and implement scalable operating models (centralized, federated, hybrid)
Lead DG KPI development, maturity assessments, and continuous-improvement cycles
Define enterprise DQ dimensions, rules, controls, and remediation workflows
Drive organization-wide identification and governance of Critical Data Elements
Oversee issue triage, RCA, and remediation with clear business/technical ownership
Lead enterprise adoption of metadata standards and quality expectations
Oversee Atlan catalog governance (domains, glossary, lineage, personas/policies)
Partner with architecture and engineering to expand automated and governed manual lineage
Establish and operationalize Data Owner, Steward, Custodian roles and accountability models

Senior Manager Data Core Specialist

We are seeking a highly skilled individual to provide second-line support for Pa...

Location

India , Bangalore

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Strong knowledge of Packet Core systems, standards and call flows
Skilled in troubleshooting, statistical analysis and mobile network concepts
Experienced in Linux/Unix administration and packet‑switched network technologies including Routing & Switching, TCP/IP, BGP, HTTP, Diameter, MPLS, Radius and GTP
Proficient with Wireshark and familiar with network security techniques including IPSec and firewalls
Demonstrates excellent communication, time management and a growth mindset
Holds a Bachelor’s degree in Telecommunications, Electronics or Computer Engineering, with 10–15 years’ experience in Mobile Data or Connected Services
Certifications such as CCNA/CCNP preferred, along with exposure to VMware platforms and Ericsson/Cisco Packet Core products
Experienced in operational support for complex, mission‑critical systems and large installations

Job Responsibility

Deliver new products and services by defining support requirements, testing new elements and ensuring stability during deployment
Lead change management activities, including scheduling and implementation of planned work, sometimes outside business hours
Resolve service and system failures by supporting incident management, executing root cause analysis and ensuring timely restoration of services
Conduct proactive health checks, routine maintenance and improvement initiatives to enhance network reliability and performance
Liaise with external support partners, ensuring permanent fixes and SLA compliance
Share knowledge across teams through mentoring, training and documentation
Monitor KPIs, troubleshoot performance concerns and protect service availability
Collaborate cross‑functionally to resolve customer-impacting issues and drive continuous improvement
Support your manager by acting as a technical focal point for operational queries and high‑priority escalations
Work on mission-critical systems such as GGSN, SGSN, SPGW, MME, Diameter Gateway, PCRF, PCEF, RADIUS and Access Control Filters

What we offer

Opportunities to develop expertise across 5G SA, Cloud, Automation, Containerisation, and CI/CD environments
Exposure to diverse technologies across a highly complex, mission‑critical mobile data network
Collaboration with cross‑functional teams and global stakeholders
A culture that supports continuous learning, innovation and personal development

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