Workline állásportál
Önéletrajz feltöltés
  • Álláskereső belépés
  • Munkáltató belépés
  • Álláshirdetés feladása
  • Állások
  • Kapcsolat
  • workline facebook
Workline állásportál
  • Belépés
  • Munkáltató
  • Álláskereső
  • Állások
  • Önéletrajz feltöltés
  • Álláshirdetés feladása
  • Kapcsolat
 

Lead Data Engineer állás Budapest

Jelentkezés

Cégleírás / Organisation / Department

Our partner is bringing their impressive global success story to Hungary, building a brand-new Global Business Center in Budapest. They are looking for a Lead Data Engineer to support operational excellence and scalable growth.

They offer a unique environment that prioritizes an inclusive culture and service excellence from day one. In this role, you will bridge the gap between business needs and technology within a collaborative, supportive, and social international team. It is a rare chance to join a community that values teamwork, celebrates success, and genuinely enjoys working together to build a fresh operation.


Elvárások / Requirements

Must have:

  • Microsoft Certified: Azure Data Engineer Associate (DP-203)

  • Proven experience managing and administering database platforms such as Snowflake, SQL Server, or other cloud‑based data warehouses

  • Hands‑on experience designing, building, and maintaining data pipelines using Azure Data Factory or similar integration tools

  • Strong understanding of ETL/ELT methodologies, data modelling, and performance optimisation.

  • Familiarity with API‑based integrations and connectors for business applications (e.g., Pigment, Sage, CRM/ERP systems)

  • Knowledge of cloud architectures, data storage patterns, and modern data engineering practices.

  • Demonstrated ability to troubleshoot complex database, pipeline, and integration issues.

  • Experience improving system performance, reliability, and scalability through proactive monitoring and optimisation.

  • Ability to manage multiple priorities in a fast-paced environment while maintaining high standards of accuracy.

  • Strong analytical mindset with a focus on continuous improvement and automation.

 

Good to have:

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field; Master’s preferred

  • SnowPro Core Certification

 



Amit kínálunk / Offer

Database Platform Management

  • Oversee the administration, configuration, and optimisation of core database environments including Snowflake, SQL Server, and related cloud data services, while helping shape their ongoing evolution as the platform architecture matures.
  • Ensure high availability, performance, and scalability of database systems, adapting designs and standards as new components are introduced or existing ones are reworked.

  • Implement and maintain robust backup, recovery, and disaster-recovery processes, revisiting these as the underlying architecture changes.

  • Monitor system health, capacity, and performance, proactively addressing issues before they impact operations.

  • Maintain living documentation for database architecture, configurations, and operational procedures - expected to change as decisions are finalised and revisited.

 

Data Integration & Pipeline Development

  • Manage and enhance data pipelines using Azure Data Factory, with openness to adopting or transitioning to alternative tools as the integration strategy develops.

  • Develop, maintain, and optimise ETL/ELT processes feeding downstream systems such as Pigment, Sage, and other business applications, adjusting approach as architectural direction is confirmed.

  • Ensure data flows are secure, efficient, and aligned with architectural standards - and help define those standards where they are not yet settled.

  • Troubleshoot integration issues and implement long-term fixes, balancing quick wins against the direction of future architecture.

  • Collaborate with application owners and the wider technology team to design new integrations, remaining flexible as business needs and platform decisions evolve in parallel.

 

Data Quality, Governance & Security

  • Enforce data governance standards, ensuring accuracy, consistency, and compliance across database environments, contributing to governance frameworks that are still being built out.

  • Implement security best practices, including access controls, encryption, and monitoring of data usage.

  • Conduct regular audits to ensure adherence to regulatory and organisational data policies, flagging where policy needs to catch up with a changing architecture.

  • Support data stewardship activities by providing guidance on data definitions, lineage, and quality rules.

  • Partner with InfoSec teams to manage vulnerabilities and maintain secure data operations.

 

Continuous Improvement & Solution Development

  • Identify opportunities to modernise and streamline database and integration processes, and play an active role in shaping architectural decisions that are still open.

  • Lead enhancements to data models, schemas, and storage strategies, expecting these to iterate as requirements and platform choices firm up.

  • Evaluate new tools, technologies, and methods, bringing informed recommendations to architecture discussions rather than assuming a fixed toolset.

  • Drive automation initiatives to reduce manual effort and improve operational efficiency.

  • Support the design and rollout of new data capabilities, comfortable working from evolving or partial specifications.

 

Stakeholder Collaboration & Support

  • Work closely with business teams to understand data needs and translate them into technical solutions, adapting recommendations as the platform direction develops.

  • Provide technical expertise and support to analysts, developers, and application owners, acting as a steady point of contact through periods of architectural change.

  • Communicate system changes, impacts, and timelines clearly to stakeholders, including where decisions are still in flux.

  • Coordinate with vendors and external partners on platform upgrades, troubleshooting, and best practices.

  • Deliver training or guidance to internal teams on database usage, integrations, and data processes, updating this as approaches change.

 



Kapcsolattartó / Information

Why Join Us in Budapest?

Financial Rewards & Security

  • Performance-Based Bonus
  • Cafeteria
  • Pension Contribution
  • Life Insurance

Flexibility & Modern Workstyle

  • Hybrid Model: Enjoy the best of both worlds with a flexible schedule (usually 2-3 days in the office).
  • Home Office Support
  • Work from Abroad: Work from another country for up to 20 days per year to better sync your travel plans with your career.

Health & Wellbeing

  • Private Health Insurance
  • Mental Health Support
  • Inclusive Care: Dedicated support for special needs, including workplace accessibility and specific health considerations.

Family-Friendly Culture

  • Enhanced Parental Leave: They top up state benefits to ensure 100% of your base salary for 20 weeks of maternity leave and 2 weeks of paternity leave.
  • Fertility Treatment Support

Growth & Connection

  • Access to extensive internal and external training programs to fuel your growth.
  • Enjoy a generous budget for team-building events and social activities.
Randstad Hungary Kft. · human forward
Jelentkezésnél hivatkozzon a workline-ra!
Vissza
Jelentkezés
Megosztás
Jelentkezés
Randstad Hungary Kft

Randstad Hungary Kft

Budapest

  • Kategorizálatlan
Lejárati dátum: 0000-00-00
workline.hu

Lead Data Engineer állás, Cégleírás / Organisation / Department Our partner is bringing their impressive global success story to Hungary,

lead data engineer, budapest

Kezdőlap Állások Önéletrajz feltöltés Álláshirdetés feladás Adatkezelési tájékoztató Kapcsolat
workline állások