Senior Data Engineer

Microsoft, cloud & Infrastructure, some experience, consultant
Malaysia

delaware is a multinational IT consulting firm with over 6,000 employees. Our Hungarian operation is constantly looking for new talent, and currently the Data & Analytics team is hiring a Senior Data Engineer.

We are setting up a One Data Platform to bring together data from various data sources around the business (ERP, CRM and various other applications). The data platform is built with Databricks, the reports with Power BI. To be able to expand, we are looking for a senior data engineer to join the team.

Our Stack: Python, SQL, Azure, Power BI, Databricks

Why join us?

  • Hybrid flexibility – work from home up to 3 days a week
  • Flexible working hours – manage your day in a way that works for you
  • Attractive benefits package – including cafeteria, private health insurance (Medicare), annual bonus, and housing allowance
  • A flat, friendly, non‑bureaucratic culture – quick decisions, open communication
  • Supportive colleagues – a team that genuinely has your back
  • A modern, easily accessible office in Budapest & Debrecen

more info about this job?

Laila HLIMI

Roles and Responsibilities

  • Build, implement, and maintain Azure-based data infrastructure supporting the BI platform and global data strategy
  • Develop and manage data pipelines using Azure Data Factory, Databricks, SQL, and Python for data ingestion, transformation, and quality improvement
  • Design, enhance, and maintain the Triana data warehouse (Azure SQL, T‑SQL objects) through planned and ad‑hoc development
  • Collaborate with Business/Data Analysts, Product Owners, and Account Teams to define data requirements, resolve issues, and deliver scalable solutions
  • Contribute to data integration design, agile delivery, stakeholder communication, and continuous improvement to turn raw data into actionable insights

Qualifications

  • At least 5 years’ experience as a Data Engineer, ideally with Microsoft technologies
  • Know your way around Azure, Databricks, Azure Data Factory and Power BI
  • Understand lakehouse architectures and ETL/ELT flows
  • Be proficient in SQL language in all its aspects
  • Have knowledge of the Python language (or Spark)
  • Has experience ingesting data from a variety of data sources (SQL database, Rest API, etc.)
  • Is fluent in English & Hungarian, both oral and written

Nice to have:

  • Experience in more advanced analytics cases (e.g., AI aspects, data science, etc.)
  • Knowledge of other Microsoft tooling, e.g., Power Apps, other Azure components, etc.

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