Senior Data Architect Budapest

Senior Data Architect
Budapest

Senior Data Architect

About Digital Factory

It’s a place where the agility of a start-up meets the stability of a global powerhouse!

Be part of our journey as we transform MOL Group’s Consumer Services from a traditional fuel retailer to a cutting-edge, digitally driven consumer goods and mobility services provider. As part of MOL Group’s 2030 - Enter Tomorrow strategy, our mission is to lead the market in Central Europe through innovative digital transformation.

At Digital Factory, we harness the power of data to drive business decisions by building a comprehensive Data Lake and developing advanced analytics solutions in forecasting, category management, pricing, and workforce optimization. We're also revolutionizing customer experience with MOL MOVE, our new digital, app-first loyalty rewards program on the Salesforce platform, designed to personalize and enhance convenience for our customers.

MOL Group Consumer Services are currently serving approx. 10 million customers through 2, 000 service stations across 9 countries, which provides an excellent scale to leverage our technologies regionally.

Our engineers are innovators with a passion for business, user behavior, and data. They excel in communication, build strong relationships with non-engineers, and navigate product/engineering tradeoffs with ease. With a focus on quick product validation and end-to-end feature ownership, they drive continuous learning and impactful solutions.

If you're curious, proactive, and eager to make a difference, the Digital Factory's Engineering Team is the place for you!

About the Role

We are looking to hire an experienced and passionate Senior Data Architect to join Digital Factory. The new team member is part of our digital engineering team, and the focus of this role is on contributing through the whole data product lifecycle helping MOL DF Data Squads to deliver business value via table structure and data transformation design to ensure stability and technical integrity of our data tech stack. Furthermore, this role performs QA, guide and consult MOL DF Data Engineers and BI Developers as the role must oversee the overall data model of the MOL CSDL.

Main Responsibilities

Design, implement, and maintain data architecture solutions to support business objectives and decision-making processes.

Develop and optimize data models for data warehousing and analytics, ensuring scalability and performance.

Collaborate with business stakeholders and technical teams to support discovery, detailed assessment, and low-level design phases of data solutions.

Lead efforts in data integration, transformation, and migration using a variety of ETL technologies (Extract, Transform, Load).

Ensure high standards for data quality, consistency, and security across systems and processes.

Design and implement data pipelines and workflows to process large datasets efficiently.

Support ongoing improvements and maintenance of the Data Tech Stack solutions, ensuring its alignment with business needs.

Work closely with teams to ensure best practices in data architecture and management are implemented.

Provide guidance on the adoption of Databricks for advanced analytics and data processing tasks.

Collaborate with cross-functional teams to resolve data-related technical issues and provide technical guidance.

Conduct regular performance assessments and optimization of existing SQL databases and related systems.

Design and manage code quality framework and KPIs.

About Your Experience and Skills

Education

University or college degree with specialization in Computer Science or Information Systems or equivalent

Experience

Experience in designing and developing scalable and efficient ETL processes Proficiency in creating and managing complex data integration processes to ensure seamless data flows across systems.

Expertise in creating and managing complex data integration processes to ensure seamless data flows across systems.

Optimizing data warehouse performance through query tuning, indexing strategies, partitioning, and caching.

Requirements gathering, use case documentation, business analysis, systems design, and integration.

Experience in data analysis, conversion, migration, interfaces, and reports.

Familiarity with gap analysis and blueprint development.

Deep experience with cloud-based data warehousing platforms like MS Synapse Analytics Suite and Databricks.

Demonstrated ability to critically evaluate information from multiple sources and reconcile conflicts.

Practical knowledge of development best practices, including CI/CD and Azure DevOps.

Strong leadership skills to collaborate with cross-functional teams including business stakeholders, data scientists, and analysts. And to mentor and coach junior developers.

Professional and Technical Competencies

Proficiency in SQL, including complex querying, optimization, performance tuning, and database administration tasks.

Expertise in ETL tools and frameworks such as Informatica, Talend, or SSIS (SQL Server Integration Services).

Data modeling techniques, including dimensional modeling, star schema, and snowflake schema for scalable and optimized data structures.

Mastery of data architecture and frameworks, including governance, KPIs, and overseeing the entire data landscape.

In-depth knowledge of database administration: performance tuning, indexing strategies, and data partitioning across platforms like Oracle, MS SQL Server, and PostgreSQL.

Knowledge of big data platforms and technologies such as Hadoop, Spark, Databricks, and cloud-based data services (e. g. , MS Synapse, MS Fabric).

Deep understanding of NoSQL databases (e. g. , MongoDB, Cassandra).

Proficiency in scripting languages like Python and PowerShell for ETL automation, workflow scheduling, and data quality checks.

Familiarity with BI and reporting tools such as Tableau, Power BI, or OBIEE for dashboards, reports, and visualizations.

Extensive knowledge of cloud platforms like AWS, Azure, Google Cloud, and related data services (e. g. , AWS Redshift, Azure SQL Data Warehouse, Google BigQuery).

Knowledge of data governance principles, metadata management, and implementing data quality processes.

Experience with system design using configuration and/or customization.

Cloud Data & Analytics technologies: Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Delta Lake, Azure Data Factory (ADF), Power BI.

Development & Automation technologies: Python, ANSI SQL, T-SQL, CI/CD Pipelines (Azure, Databricks), Azure DevOps.

Architecture & Design technologies: Sparx EA tool experience.

Professional usage of Microsoft Office Suite.

Experience with Atlassian JIRA, Confluence.

Soft Skills

Proven analytical abilities

Facilitating skills and able to drive consensus involving technical and non-technical resources.

Excellent communication skills to translate data into actionable insights.

Self-driven, detail-oriented, capable of multi-tasking, highly organized, with excellent time management skills.

Results-oriented, ability to work in a fast-paced environment, managing multiple tasks in parallel.

Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upward.

Reliable, accurate, and dynamic, able to work independently or in a team.

Proactive mindset with a positive attitude and a strong sense of ownership, and team mentality.

Strong attention to detail and commitment to delivering high-quality work.

Strong written and verbal communication skills in both Hungarian and English for cross-functional collaboration.

Growth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices.

Openness to work with different cultures across CEE.

What We Offer

Work with an advanced and innovative tech stack.

Collaborate with multinational teams and projects across the CEE region.

Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.

Explore versatile career paths in a dynamically growing international organization at Local and Group level.

Gain cross-industry experience through our expanding portfolio of businesses (both within and beyond MOL Group).

Be part of a supportive and inclusive workplace that values innovation and creativity.

Enjoy a hybrid work model: two days of home office and three days at the beautiful MOL Campus.

Access Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.

Participate in regular team outings and MOL family events.

How to apply?

If you wish to form the future with us, please submit your applications via our career site: www.mol. hu/karrier

Main Recruitment Steps

Initial call: You will be contacted by MOL Recruitment via phone for a short chat.

Interview: You can expect two or a maximum of three interview rounds, where you can meet your direct manager, some experts from the team, ask your questions and present your skills and career path. We always make sure you receive timely feedback after each round.

Technical Assessment: You will either receive a take-home assignment after the first interview or be asked to solve an exercise on the spot at one of the interviews.

If you would like to know more about Digital Factory: digitalfactory. info

Meet your Hiring Manager: Zsolt Horváth (https://www.linkedin.com/in/hozso/)

At MOL Group, we know that our strength lies in diversity. During the selection process, we provide equal opportunities to all applicants with the appropriate qualifications and work experience, regardless of age, gender, disability, or reduced work capacity, sexual orientation, or ethnicity. At MOL Group, everyone matters.

If you have any specific needs related to your reduced work capacity at any stage of the recruitment process, please inform our recruitment team! We are happy to assist.