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Data Engineer

Data Engineer

AI Solutions Analyst - Banking Market Intelligence

McKinsey & Company

Budapest

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Описание вакансии

Who You'll Work With
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you’ll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

  • Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters:From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact
You will partner with clients worldwide to help define and execute their strategy and innovation efforts.

You will join the Market Intelligence team within McKinsey Panorama. This globally focused team harnesses a blend of banking and financial data sources - including proprietary McKinsey data - to help financial institutions identify strategic opportunities, improve financial planning, and benchmark their performance.

Operating with a high degree of autonomy and responsibility, your work will be divided between developing proprietary assets and supporting client engagement teams with your asset-backed expertise. You will conduct research into financial services, macroeconomic shifts, and evolving customer trends. By analyzing large volumes of information efficiently, you will synthesize your findings into strategic insights and communicate them to both internal McKinsey colleagues and external clients.

A core component of your role will involve building and maintaining the tools that drive our advisory work. You will develop and refine a variety of proprietary databases, statistical frameworks, and market models designed to inform the decision-making processes of our clients and colleagues. By applying this asset-backed expertise directly in client settings, you will ensure our strategic recommendations are consistently grounded in rigorous, data-driven evidence.

Your responsibilities offer a strong platform to develop your capabilities in data analytics, critical thinking, synthesis, and product development within a dynamic business environment. As you collaborate with global colleagues and gain direct exposure to clients, you will receive structured training alongside regular coaching and mentorship from senior colleagues to support your professional growth.

Your Qualifications and Skills

  • Bachelor's or higher degree in economics/finance, engineering, technology or social sciences; master's degree preferred
  • First work experience in banking, finance, private equity, venture capital or other closely related area
  • Strong analytical capability and ability to synthesize complex relationships
  • Agentic AI workflow building: hands-on fluency with LLMs, prompt workflows, agent frameworks, RAG / knowledge layers, MCPs or tool use, and human-in-the-loop review patterns
  • Analytics automation: practical experience with Python, Excel, APIs, and CSV / XLSX workflows to inspect data, automate recurring tasks, and validate outputs
  • Data quality engineering: ability to design baseline checks, anomaly detection, output validation, reproducibility checks, and audit trails for research and client-ready outputs
  • Basic understanding and interested for financial services, digital solutions, innovations and related macro trends
  • Intellectual curiosity along with strong analytical capability and problem-solving skills
  • Excellent written and verbal communication skills in English

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Data Engineer

Data Quality Expert - Ataccama ONE

Fusion Consulting

Budapest

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Описание вакансии

Company Description
Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide.
Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.

With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.

Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.

Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.

Job Description
We are seeking a proactive Data Quality Expert to support the early-stage adoption of Ataccama ONE across business units within a leading pharmaceutical environment. In this role, you will not only bring technical knowledge of data quality tools but also play a key role in educating stakeholders on the value of data quality initiatives. You will act as an ambassador for Ataccama ONE, guiding client departments through their first steps in leveraging the tool and helping them understand the business rationale behind data quality rule creation.

This role is ideal for someone who can bridge the gap between business and IT, translating technical capabilities into tangible business benefits.

What You Will Be Doing

  • Implement data quality KPIs in Ataccama ONE.
  • Engage stakeholders across business units to promote understanding and adoption of Ataccama ONE.
  • Conduct workshops or one-on-one sessions to demonstrate the value of data quality initiatives.
  • Support departments in defining their initial data quality needs and rules.
  • Educate non-technical stakeholders on the business impact of data quality rules and KPIs.
  • Guide teams through the onboarding process with Ataccama ONE, ensuring alignment with central data governance concepts.
  • Translate business requirements into technical configurations, rules, and monitoring logic.
  • Work closely with business consultants and concept owners to align on execution priorities and timelines.
  • Develop, test, and deploy data quality dashboards and reports based on defined KPIs.
  • Troubleshoot technical issues related to data profiling, rule execution, and data monitoring.
  • Document implementation steps, processes, and data flows for audit and operational readiness.
  • Support the handover to operations or data stewardship teams.

Qualifications
Must-Have Skills and Competencies:

  • Hands-on experience with Ataccama ONE
  • Strong technical understanding of data architecture, data pipelines, and metadata management.
  • Experience implementing KPI monitoring and data quality rules in enterprise environments.
  • Strong analytical skills with the ability to understand complex data models and structures.
  • Excellent communication skills for cross-functional collaboration with business and technical teams.
  • Ability to work autonomously while adhering to concept and governance standards.

Optional Skills And Competencies

  • Experience working in the pharmaceutical or life sciences sector.
  • Familiarity with data integration platforms, SQL scripting, or API-based configurations.
  • Understanding of regulatory frameworks such as GxP or GDPR.
  • Experience facilitating training or onboarding sessions.
  • Experience using reporting or visualization tools (e.g., Power BI, Tableau) for KPI presentation.

Additional Information
Why Fusion?
At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients.

We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues.

We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities.

Our Benefits

  • Workflex: Enjoy 25 days of flexibility to work from your preferred global location.
  • Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement.
  • Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise.
  • Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services.
  • Unity Scheme: Benefit from loyalty rewards starting after 3 years of service.
  • Referral Program: Earn a referral fee for every successfully hired referee.
  • Local Benefits: Access a range of country-specific benefits tailored to your location.
  • People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment.
  • Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.

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Data Engineer

HR Business Partner

AGCO Corporation

Budapestfulltime

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Описание вакансии

Date: Aug 13, 2026

Req ID: 104505

Location:

Budapest, Central Hungary (Közép-Magyarország), HU Canoas, RS, BR Pune, MH, IN Johannesburg, ZA Yanzhou, CN Breganze, IT Jundiai, SP, BR Beauvais, FR Beauvais, FR

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Workplace Type: Onsite

Employment Duration: Permanent

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today!

HR Business Partner (HRBP) partners with leaders across a defined area of the global Engineering organization to align people strategies with business objectives. This role supports the development and execution of workforce plans, talent initiatives, organizational effectiveness efforts, leadership development, and change management activities that drive business performance and enable future growth.

As a trusted advisor, the HRBP collaborates with leaders and HR partners across regions to address workforce challenges, strengthen organizational capability, and build high-performing teams. The role leverages data, insights, and business acumen to support strategic decision-making, talent planning, succession management, and employee engagement initiatives.

This position is an excellent opportunity for an HR professional looking to expand from strong operational execution into a broader strategic business partnership role. Success in this position requires learning agility, business curiosity, relationship-building skills, and the ability to navigate ambiguity while proactively identifying solutions that support both current and future business needs.

Your Impact:

Partner with Engineering leaders as a trusted advisor to align people strategies with business goals, provide coaching, enhance leadership effectiveness, and drive strategic workforce initiatives.

Lead workforce planning and development efforts by identifying future talent needs, skill gaps, organizational risks, and implementing capability-building strategies that support long-term business objectives.

Drive talent management and leadership development through talent reviews, succession planning, high-potential employee development, performance management, retention initiatives, and fostering a culture of continuous learning and inclusion.

Support organizational effectiveness and change management by leading transformation initiatives, organizational design efforts, stakeholder engagement, change communications, and initiatives that improve collaboration, accountability, and team performance.

Lead HR projects and leverage workforce analytics to deliver integrated HR solutions, manage cross-functional initiatives, measure program effectiveness, and provide data-driven recommendations that improve workforce and organizational outcomes.

Your Experience and Qualification:

Bachelor’s degree in Human Resources, Business Administration, Psychology, Organizational Development, or related field.

6+ years of progressive HR experience. Experience partnering with leaders on talent, workforce, organizational effectiveness, employee engagement, or change initiatives.

Demonstrated capability to lead projects, support business-focused HR solutions, and influence outcomes across stakeholders.

Strong communication, facilitation, coaching, and relationship-building skills. Ability to use data, workforce insights, and business context to support recommendations and decision making.

Experience working in a matrixed, collaborative, or cross-functional environment. Global or regional HR experience preferred. Advanced English communication skills required; additional languages are a plus.

Your Workplace:

This role follows AGCO’s onsite work model, with employees primarily working from an AGCO location for a minimum of 4 days per week to support collaboration and teamwork.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.

Join our extraordinary team today and !

Recruiter Scam Alert: AGCO has observed an increase in individuals impersonating AGCO recruiters. All legitimate AGCO recruiting communications are conducted only through official AGCO recruiters or AGCO authorized recruitment partners using official company email accounts (@agcocorp.com or.external@agcocorp.com). AGCO recruiters and partners will never use personal email addresses (such as Gmail, Yahoo, or similar). Any communication claiming to represent AGCO outside of these channels should be treated as fraudulent. All legitimate AGCO job opportunities are posted on our official career site at careers.agcocorp.com. Candidates are encouraged to apply directly through the site and maintain an active candidate profile.

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Job Segment: Sustainable Agriculture, Change Management, HR, Performance Management, Engineer, Agriculture, Management, Human Resources, Engineering

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Data Engineer

Senior Data Engineer

Morgan Advanced Materials

Visegrádsenior

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Описание вакансии

Location:
Poland remotely

Employment:
Permanent

Role Overview:
Morgan IT is responsible for running the digital transformation for Morgan, implementing a target IT architecture (consisting of several global platforms), that will underpin and future proof the technical landscape supporting Business operations stability and enabling business growth . The importance of the data as part of this journey has been recognised and is being addressed through the implementation of a Global Data Platform .

We are seeking a highly skilled and experienced Microsoft Fabric and Azure Data Engineer to join our dynamic Global Data & Analytics Platform team. The ideal candidate will be responsible for designing, implementing, and optimizing scalable data solutions Microsoft Fabric . This role demands proficiency in programming, data model l ing, and data pipeline orchestration, as well as expertise in Azure-specific tools and technologies. Strong soft skills are also essential to effectively manage the data engineering team, collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Responsibilities
Key Responsibilities:

  • Platform Design and Delivery - Design, build and maintain scalable ingestion and transformation pipelines across Microsoft Fabric, including Lakehouse, Warehouse, OneLake and Fabric Data Factory, alongside the existing Azure Data Factory and Synapse Analytics environment.
  • Migration - Plan and execute the migration of existing Synapse and Azure Data Factory workloads onto Fabric, including dedicated SQL pool warehouses, Synapse Spark workloads and ADF pipelines, minimising disruption to live reporting and analytics services.
  • Data Modelling - and Performance Develop and maintain dimensional and medallion-layer data models to meet business reporting requirements, and optimise queries, workloads and semantic models — including Power BI Direct Lake models — to meet agreed performance standards.
  • AI - and Advanced Analytics Enablement Develop and maintain the interfaces through which the Company's AI tooling accesses governed enterprise data, including Model Context Protocol (MCP) servers and equivalent integrations. Ensure that access control, lineage and cost governance are maintained where automated systems rather than individuals are the consumers of data.
  • Software Engineering - Practice Write and maintain production-grade Python, PySpark and SQL. Apply source control, automated testing, monitoring and CI/CD practices to all data assets, using Azure DevOps or GitHub Actions and infrastructure-as-code tooling.
  • Data Governance and Security - Implement data governance controls including lineage, cataloguing, classification and access management, using Microsoft Purview and Microsoft Entra ID, ensuring compliance with applicable regulatory and internal requirements.
  • Capacity and Cost Management - Size, monitor and optimise Fabric capacity consumption, managing the balance between workload performance and platform cost, and reporting on utilisation to the Global Data Platform Owner.
  • Documentation - Maintain accurate documentation of architecture decisions, data models, pipeline specifications and operational runbooks to a standard that supports continuity of service within the team.
  • Team Leadership - Act as line manager to junior data engineers, providing technical guidance, mentoring and performance management. Define and enforce best practice for pipeline design, development and maintenance. Act as the point of escalation for complex data engineering issues, and coordinate with the solution architect to ensure the platform meets current and future requirements.

Qualifications
Requirements:

  • Minimum six years' experience in data engineering, with substantial exposure to Azure cloud services
  • Demonstrable hands-on experience delivering production workloads on Microsoft Fabric, including Lakehouse, Warehouse, OneLake and Fabric Data Factory
  • Proven experience migrating Azure Synapse and Azure Data Factory workloads onto Microsoft Fabric within a live environment
  • Strong programming capability in Python and SQL, applied to production systems
  • Practical experience with Apache Spark and PySpark at scale
  • Working knowledge of Azure Synapse Analytics, including dedicated and serverless SQL pools and Spark pools
  • Experience of dimensional modelling and lakehouse architecture
  • Experience applying source control and CI/CD practices to data engineering deliverables
  • Experience mentoring or line-managing engineers
  • Ability to communicate technical concepts clearly to non-technical stakeholders across operational and commercial functions
  • Professional working proficiency in English

Desirable

  • Experience with Model Context Protocol, agent tooling, retrieval-augmented generation pipelines or vector stores
  • Experience with dbt or comparable transformation-as-code tooling
  • Experience with Terraform or Bicep
  • Experience with Microsoft Purview or comparable data governance tooling
  • Experience of manufacturing, engineering or industrial data sources, including IoT, MES and ERP systems
  • Relevant Microsoft certification (DP-203, DP- 600 or Fabric equivalents)
  • Scala
  • Degree in computer science, information technology, engineering or a related discipline, or equivalent professional experience

Morgan Advanced Materials is an EEO/AA/M/W/D/V Employer
Ind-1
Morgan Advanced Materials
is a business rich in history and innovation. Founded in the UK in 1856, we have grown into a global organisation with 70 sites in 18 countries. Our model to serve our customers where they need us has led to a diversified product range using our unparalleled expertise in ceramic and carbon materials, which we exploit to solve difficult problems for our customers across a diverse range of markets.

We are a purpose driven organisation. Our purpose is to use advanced materials to make the world more sustainable and to improve the quality of life. We deliver on that purpose through the products that we make, and the way that we make them.

We help our customers push the limits of their processes and products to meet the demanding requirements they face, from higher process temperatures to higher product performance to increasing miniaturisation.

Key Figures:
Revenue £1,100.7m (2024), ~8,000 employees, manufacturing in 20+ countries, and a global customer portfolio. A UK PLC with head office located in Windsor, Berkshire UK. Listed on London Stock Exchange; Member of the FTSE 250 Index.

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Data Engineer

Microsoft Fabric Data Engineer

Accenture Hungary

Budapest

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Описание вакансии

Who We Are
Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries.

Accenture globally has ranked
4th on the Great Place to Work® World’s Best Workplaces™.
About The Role
We are seeking to our team in Budapest a Microsoft Fabric Data Engineer

Senior Data Engineer – Microsoft Fabric Data Engineer
We are building a modern, scalable cloud data platform to power analytics, reporting, and advanced data-driven decision-making across our organization. As a Senior Data Engineer, you will play a pivotal role in designing and operating this platform — leading architecture, implementing best practices, ensuring data quality and governance, and driving continuous improvement. Your work will directly impact how the organization leverages data to deliver value.

What You’ll Own — Key Responsibilities & Impact

  • Design and implement data fabric architecture across heterogeneous data sources and platforms.

  • Develop scalable ETL/ELT pipelines for batch and real-time data integration.

  • Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems.

  • Implement metadata management, data cataloging, lineage, and data discovery capabilities.

  • Build data-access and integration services using APIs, event streaming, and distributed processing.

  • Establish data quality, validation, observability, and monitoring frameworks.

  • Implement data governance, security, access controls, and compliance requirements.

  • Work with cloud technologies such as AWS, Azure, or Google Cloud.

  • Optimize data pipelines and processing workloads for performance, scalability, and cost.

Who You Are — Required & Preferred Qualifications

  • 5+ years of experience as a data engineer (or similar), with significant exposure to cloud-based data platforms and modern data architectures.

  • Strong understanding and practical experience with data modeling, data warehousing / lakehouse architecture (e.g. dimensional modeling, star/snowflake schemas, Delta Lake / Lakehouse).

  • Proven track record in data governance, metadata management, and ensuring data quality at scale.

  • Solid experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks).

  • Excellent programming and query skills — strong SQL, Python (or another relevant language); ability to write clean, efficient, maintainable code.

  • Strong analytical and problem-solving skills; ability to think at both micro (pipeline/job level) and macro (architecture/strategy) levels.

  • Excellent communication skills: able to explain complex technical issues to non-technical stakeholders, collaborate across teams, and influence architectural decisions.

  • Self-motivated, responsible, and capable of working independently and as a technical leader in a structured data platform environment.

What We Offer For You

  • Participation in full-cycle and diverse international projects

  • Opportunity to work as a specialist or manager/team lead

  • Constant career development with internal mentorship

  • Access to a whole set of learning platforms, paid certifications

  • Flexible working conditions, home working is allowed

  • Attractive base salary & Wide range of benefits included cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price

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AI Solutions Analyst - Banking Market IntelligenceMcKinsey & Company · Hungary

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