Data Engineer

4 days ago

Budapest, Budapest, Czech Republic V_labs Full time

V_labs is a venture builder with offices in Vienna, Budapest, Dornbirn, Munich, and Zurich. We build groundbreaking ventures for renowned corporations. Our vision is to build companies with dream teams. And we are growing. That's why we are looking for talents who are motivated to grow with us and turn groundbreaking ideas into successful startups.

Tasks

We are looking for an experienced Data Engineer - Venture & Business Intelligence to support various data-driven projects related to venture portfolio monitoring, sales intelligence, and business analytics. The role involves designing, maintaining, and optimizing scalable data models and databases to facilitate strategic decision-making. The ideal candidate will integrate data from multiple sources, develop automation solutions, and collaborate closely with analysts, business stakeholders, and reporting teams.

  • Design, build, and maintain scalable data solutions in BigQuery, Snowflake, Fabric, or other modern database environments.
  • Develop ETL/ELT pipelines to consolidate data from various internal and third-party sources.
  • Connect and integrate financial, sales, and operational data sources such as CRM systems, venture portfolio management platforms, and external data providers
  • Support the development of semantic models to enable analytics, dashboards, and reporting.
  • Work closely with business analysts, portfolio managers, and monitoring teams to translate business needs into technical data solutions.
  • Support business continuity processes, including data backup strategies.
  • Support teams in developing reports and dashboards with BI tools like Power BI, Tableau, Looker, etc. (Dashboard work itself is covered by another role).
Requirements
  • Minimum 5 years of proven experience in Data Engineering with expertise in SQL-based solutions such as BigQuery, Snowflake, Fabric, or similar platforms.
  • Experience building and maintaining ETL/ELT workflows and data automation.
  • Strong background in data modeling, API integrations, and structured/unstructured data processing.
  • Knowledge of venture capital, portfolio monitoring, sales analytics, or financial data intelligence is a plus.
  • Ability to collaborate with business and technical stakeholders to deliver impactful solutions.
  • Excellent problem-solving skills and excellent English language skills
Benefits
  • Work on diverse and high-impact projects across venture monitoring, sales intelligence, and business analytics.
  • Opportunity to shape data infrastructure and contribute to strategic decision-making.
  • We trust each other and use flexible working hours and home office to balance all aspects of our lives.
  • Well-established, international team with extensive experience in the conception and implementation of digital projects.
  • Time for a change of scenery? Our remote work within the EU allows us to do that.
  • We like to work with the latest software, if you know any newer ones, we'll test them
  • Flat hierarchies with lots of exchange and communication. Your input will find open ears - no matter if it's about designs, business ideas or party plans.
  • Positive and open error and feedback culture.
  • Enjoy job security working with our stable and reliable customers, ensuring a safe and consistent workplace for the next years.
  • Cool workplace in the city center of Budapest.

Our minimum salary for this position is a monthly gross salary of HUF 1,5M based on full-time employment. Of course, there is a willingness to pay more, depending on your qualifications and experience.

,[] Requirements: SQL, Python, Data engineering, Data modelling, Data pipelines, PostgreSQL, MySQL, InfluxDB, Snowflake, Databricks, Data structures, Data warehouse, Data analytics, Data visualization, BigQuery, Microsoft Fabric, Docker, REST, GraphQL, Analytics platform Tools: Jira, GitHub, GIT, Agile, Scrum, Kanban. Additionally: Small teams, International projects, Barátságos, motiváló környezet, Free coffee, Bike parking, Shower, Free beverages, No dress code.

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