Senior Data Architect - MOL Nyrt. - Budapest

Feladatok:

Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives

Build and optimize high‑performance data models for analytics

Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

Lead data integration, transformation, and migration efforts

Ensure data quality, consistency, governance, and security across systems

Design efficient data pipelines and workflows for large datasets

Continuously improve our cloud data tech stack (Synapse, Databricks, ADLS, ADF)

Maintain and evolve the enterprise data model, ensuring consistency and scalability across data products

Support discovery, assessment, and solution design activities for new data initiatives

Coach and guide Data Engineers and BI Developers on best practices

Support adoption of Databricks for advanced analytics and processing

Troubleshoot complex data issues and performance bottlenecks

Define code‑quality frameworks and architecture KPIs

Elvárások:

Education

Degree in Computer Science, Information Systems, or similar

Experience

Deep experience designing and delivering scalable ETL/ELT processes

Strong background in cloud data platforms (Azure Synapse, Databricks, ADLS)

Hands‑on experience with data integration, modelling, migration, and performance tuning

Experience with requirements gathering, solution design, and business analysis

Comfortable with CI/CD pipelines and Azure DevOps

Ability to mentor developers and collaborate across functions and teams

Professional and Technical Competencies

Advanced SQL (optimization, tuning, complex queries)

Strong ETL knowledge (Informatica, Talend, SSIS, or similar tools)

Data modeling techniques (dimensional, star schema, snowflake)

Familiarity with Hadoop, Spark, Databricks

Knowledge of NoSQL systems (MongoDB, Cassandra)

Scripting skills in Python and/or PowerShell

Experience with Power BI, Tableau, OBIEE or similar

Familiarity with AWS, Azure, or Google Cloud data services

Understanding of data governance and quality frameworks

Experience with architecture modeling tools (e.g., Sparx EA)

Comfortable with Jira and Confluence

Soft Skills

Analytical, curious, and always eager to improve what’s already good

Able to drive consensus among technical and non‑technical stakeholders

Clear communicator who can turn complex data topics into understandable insights

Highly organized and reliable – you bring structure even when things get messy

Comfortable juggling multiple priorities in a fast‑paced environment

Strong sense of ownership and team mindset

Growth‑minded, proactive, and open to learning

Comfortable collaborating across cultures and countries

Amit kínálunk:

Modern cloud‑based tech stack to work with

Collaboration with talented teams across the CEE region

Plenty of room for growth in a fast‑moving digital organization

Medicare health insurance, annual bonus, and extensive benefits

Cross‑industry exposure within MOL Group’s expanding portfolio

Regular team events and MOL family experiences