Data Engineer

2 weeks ago


Bucharest, Bucureşti, Romania CGS Romania Full time 90,000 - 120,000 per year

We are looking for a BI & Analytics Engineer who is passionate about data, technology, and innovation. In this role, you will take ownership of our BI and Analytics environments, working hands-on with modern tools like Power BI, Azure Data Factory, and Databricks. You'll be part of a collaborative and performance-driven team, helping drive digital transformation across the organization.

  • Proven experience in BI and Analytics engineering or a similar data-focused role
  • Strong knowledge of
    Power BI, SQL, and Python
  • Hands-on experience with
    Databricks, Azure Data Factory
    , and data integration tools like
    Lobster
    (or similar)
  • Ability to work with cross-functional teams and translate business requirements into technical solutions
  • Strong analytical thinking and a proactive approach to process improvement
  • Experience working with external vendors and ensuring high-quality technical deliverables
  • Excellent communication, documentation, and stakeholder management skills

What you will be doing:

  • Take full
    ownership of the BI & Analytics tech stack
    , including Power BI, Databricks, Azure services, handling tickets, managing bug fixes, and implementing new requirements.
  • Co-develop and maintain data models
    that power our Power BI dashboards and advanced analytics solutions.
  • Code in
    SQL and Python
    within the
    Databricks
    environment to build and optimize data pipelines.
  • Collaborate with key stakeholders
    (Executive, Product, Sales, Marketing) to understand data needs and offer technical support.
  • Build and maintain
    large, complex datasets
    for business and analytics use cases using ADF, Databricks, and Lobster.
  • Drive
    internal process improvements
    , such as automation of manual processes, optimization of data delivery, and infrastructure redesign.
  • Measure the
    value and impact
    of implemented solutions and help prioritize based on business needs.
  • Coordinate external vendors
    to ensure scalable and reliable technical solutions are developed and maintained.
  • Ensure
    quality, security, monitoring, testing, and release management
    of all BI solutions.
  • Document all solutions and processes
    , and manage smooth handovers to IT operations or external support teams.
  • Support and promote a strong
    Data Culture
    across the organization.

Train and support business users
in building Power BI dashboards based on our centralized data models.


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