Master data agent Job at Randstad (Poznań)

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

P2P Master Data Agent

Join our TUI Global Business Services (TGBS) Team as part of our Global Finance ...

Location

Tunisia , Sousse

Salary:

Not provided

TUI

Expiration Date

Until further notice

Requirements

Business University degree is advantageous
Excellent level of English and German is mandatory
Previous experience in AP department, administration, supplier or customer management
Ability to use MS Office tools such as Word, Outlook and Excel
ERP (enterprise resource planning) experience in SAP and Asterix/Atlas would be advantageous
Communication and influencing skills
Someone with proven numeric skills and accounting acumen
Someone with a methodical, organized approach towards the execution of the assigned tasks

Job Responsibility

Dealing with vendor master data set-ups and changes
Checking the details given in vendor master data requests against the source documents
Getting in touch with suppliers (‘Ringback procedure’) to verify vendor master data, in particular for English-speaking suppliers
Doing checks to ensure that data such as VAT IDs or company registration numbers are correct
Reviewing returned payments from vendors
Monitoring a number of Vendor Master email accounts and dealing with queries
Actively participating in team meetings to share information and look at priorities
Undertake other ad hoc activities as deemed necessary
Assisting with the Supplier accounts management, providing stakeholders the right support to the Accounts Payable cycle with accounting activities in accordance with the company policies
Maintain strong relationships with stakeholders and suppliers, communicate effectively, and propose improvements of any identified issues on supplier accounts will be further tasks of your role

What we offer

Attractive remuneration
Discretionary bonus schemes
Generous travel benefits
Extensive health & well-being support
Flexible working
Access the TUI Learning Hub
Opportunities to work on global projects and teams
Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation

Fulltime

Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Pla...

Location

United States

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments
3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes
Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders
Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector
Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution
Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript
Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)
Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)
Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations
Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake)

Job Responsibility

Migration Execution & Cloud Architecture: Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps
Data Pipeline Engineering & Transformation: Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading
Ontology Layer Development & Schema Automation: Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures
Application & Workflow Delivery: Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking
Multi-System Consolidation & Master Data Management: Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance
Client Engagement, Discovery & Modernization Advisory: Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps
Knowledge Transfer, Enablement & IP Development: Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology
Leadership & Executive Engagement: Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight
translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications
navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements

Data Scientist Specialist

We are seeking a highly experienced Data Scientist Specialist with deep expertis...

Location

United States , McLean

Salary:

Not provided

Apex Systems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
Extensive experience in AI/ML, including 3+ years in applied GenAI or LLM-based solutions
Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases, and multi-modal models
Proven experience with AWS cloud-native AI development (SageMaker, Bedrock, MLFlow/Kubeflow on EKS)
Strong programming skills in Python and ML/LLM libraries (Transformers, LangChain, etc.)
Strong understanding of GenAI system patterns, agentic architectures, evaluation frameworks, and guardrails
Demonstrated success working in cross-functional, agile teams
GitHub code repository link required for candidate evaluation

Job Responsibility

Architect and implement GenAI systems: Build scalable AI agents, agentic workflows, and GenAI applications for diverse business use cases
Model development & optimization: Fine-tune and optimize lightweight LLMs
evaluate and adapt models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives
RAG & GraphRAG architectures: Design and deploy Retrieval-Augmented Generation (RAG) and GraphRAG systems using vector databases and enterprise knowledge bases
Enterprise data curation: Curate and prepare enterprise data using connectors integrated with AWS Bedrock Knowledge Bases and/or Elasticsearch
Agent interoperability: Implement solutions leveraging Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication patterns
Experimentation & ML platforms: Build and maintain Jupyter-based notebooks using SageMaker, MLFlow, or Kubeflow on Kubernetes (EKS)
Cross-functional collaboration: Work with UI engineers, microservices teams, designers, and data engineers to deliver full-stack GenAI experiences
Enterprise integration: Integrate GenAI solutions with enterprise platforms via APIs and standardized GenAI architectural patterns
Evaluation & safety: Establish evaluation frameworks, bias mitigation strategies, safety protocols, and guardrails for production deployment

What we offer

medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions

AI Engineer

In this role you will design and build intelligent, autonomous AI systems that e...

Location

United States , San Diego

Salary:

199500.00 - 299300.00 USD / Year

Teradata

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
3–5+ years of experience in software architecture, backend development, or AI infrastructure
Strong Python skills and familiarity with Java, Go, and C++
Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling
Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks
Ability to design core agentic capabilities such as memory management, context handling, observability, and identity
Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP)
Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures
Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams
Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate

Job Responsibility

Design and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology
Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments
Create the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions
Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform
Succeed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value

What we offer

Healthcare, life and disability insurance plans
401(k)-retirement savings plan
Time-off programs
Flexible work model
Well-being focus
Diversity, Equity, and Inclusion commitment

Fulltime

Senior Data Scientist - Copilot Studio

Microsoft is a company where passionate innovators come to collaborate, envision...

Location

Israel , Tel Aviv, Herzliya

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Physics, Operations Research, Computer Science, or related field AND 3+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Physics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
Proficiency in one or more programming/scripting languages for working with data, such as Python, C++, or C#
Experience in building ML and LLM products, focusing on NLP and conversational AI
Analytical Mindset: Strong data analysis and problem-solving skills. Ability to use data to draw insights and make decisions, experiment design, and interpret model performance metrics
Excellent teamwork and communication skills. Comfortable working in a fast-paced, interdisciplinary environment and presenting complex findings in a clear, impactful way
Passion for learning and stay informed with State of the Art progress
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Formulate data-driven approaches to evaluate and improve AI agent performance, leveraging diverse algorithms and data sources
Apply state-of-the-art LLM and machine learning techniques to analyze and optimize agent behavior
Use data exploration to uncover patterns in agent interactions, identify new opportunities or issues, and assess data limitations within our problem space
Engage with product teams and collaborate with other data scientists, engineers, designers, and product managers to translate findings into clear, actionable insights that shape product features and improve our Copilot Studio platform

Fulltime

Master data agent

Randstad

Location:
Poland , Poznań

Category:
IT - Administration

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 20, 2026

Expiration:
June 30, 2026

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