Data Engineer
Content + Source + Freshness • 18 Dec 2025 • 95% confidence
Offer value
High score due to the company’s reputation, competitive salary expectations, and technological advancement opportunities.
- Competitive salary: HUF 1,500,000 - 1,800,000/month
- Work with cutting-edge data technologies
- Strong emphasis on professional growth and independence
- Expects substantial direct experience with the tools
Pros
- Strong salary range (around HUF 1,500,000-1,800,000/month)
- Cutting-edge work in data engineering within Azure and Databricks
- Excellent opportunities for certification and professional development
Cons
- Requires significant hands-on experience in Azure tools
- Possibly demanding work environment with tight deadlines
- Might entail complex technical discussions with various stakeholders
Who it's for
Mid to Senior level • Hybrid/On-site
Good fit
- Experienced data engineers
- Professionals with a passion for cloud technologies
- Candidates looking for significant career growth
Not recommended for
- Entry-level applicants
- Individuals without Azure knowledge
- Those wanting less technical responsibilities
Motivation fit
Key skills
About the job
Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI.
We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.
Pozíció leírása / Job descriptionLead technical decisions for enterprise data architecture using Databricks
Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage
Design and implement data solutions in Microsoft Azure, based on project needs
Build and maintain ETL processes and data models for analytical pipelines, especially in Finance
Establish and uphold best practices for software development, like version control, testing, and CI
Support pre-sales activities, including RFPs, proposals, and client communications
Guide discussions on cloud data warehousing and machine learning platforms
Provide technical support for vendor and third-party engagements
Offer ongoing support for business and technology teams on platform strategy and quality assurance
Elvárások / Requirements
Bachelor’s degree in Computer Science, IT, or a related field
Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)
Experience as a Data Architect/Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design
Strong knowledge of Databricks, Data Lakes and Spark
Strong experience with Azure Platform Services (Identities, Network, Storage)
Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL
Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services
Experience with Azure DevOps especially Azure Pipelines
Proficiency in Python, PySpark, SQL
Familiarity with DataOps
Amit kínálunk / Offer
- Opportunity to gain MS certifications
- Flexible working conditions
- Opportunity for professional development
- Freedom to develop independent processes within your team. Our client believes that employees deliver better results when given autonomy and responsibility.
- Open communication; through a flat organizational hierarchy, they are agile and able to respond as a cohesive team
Dóra Gosztola
dora.gosztola@randstad.hu
experience
3-5 év / 3-5 years
skills
- Data
- data expert
- data management
qualifications
- 'Nem igényel speciális végzettséget'
education
Főiskolai, egyetemi végzettség / University
