SQL BI Engineer

4 days ago

Bucharest, Bucureşti, Romania Empower BI Full time 30,000 - 60,000 per year

Job Location:
Fully remote within Romania (Bucharest-based for long-term transition)

Contract Type:
Initial B2B agreement (PFA/SRL) for one year, with the option to extend or move to an employment contract (CIM).

Schedule:
Monday–Friday, 10:00 AM – 7:00 PM (Romanian time), aligned with a U.S.-based client.

Why this role stands out:

  • A
    fully remote setup
    that offers flexibility and trust : you manage your time and results.
  • A
    mature, data-focused environment
    where your work has measurable impact.
  • Long-term collaboration
    with a stable U.S. financial services client.
  • A chance to
    combine SQL expertise with BI insight
    , working at the intersection of analytics, engineering, and risk management.
  • Space to grow professionally in a
    lean, autonomous team
    that values precision and accountability.

What you'll be doing:

You'll be part of the
Portfolio Risk Management Team
, developing predictive tools that measure investment performance and risk exposure.

Your main focus: improving, maintaining, and extending the data layer that supports critical decision-making.

  • Develop and optimize
    SQL queries
    ,
    stored procedures
    , and
    Power BI dashboards
    .
  • Debug and enhance existing
    Python-based applications
    used in risk modeling.
  • Support
    data integration and transformation
    alongside Python engineers.
  • Apply best practices in the SDLC for maintainability and performance.
  • Collaborate with business and analytics teams to turn requirements into practical technical outcomes.

What you bring:

  • 5+ years
    of experience in SQL development or BI engineering.
  • Strong skills in
    SQL
    (optimization, relational design, stored procedures).
  • Hands-on experience with
    Power BI
    (data modeling, DAX, report building).
  • Familiarity with
    SSRS
    .
  • Analytical mindset, clear communication, and attention to detail.

Nice to have:

  • Experience with
    Azure Databricks
    or other cloud data platforms.
  • Familiarity with
    Python
    and debugging.
  • Background in
    asset management
    or
    investment analytics
    .

What's next:

The process includes:

  1. Technical step:
    SQL test.
  2. Final interview:
    discussion with the Team Manager, Python Engineer, and Scrum Master.

If you value structure, professionalism, and clear collaboration, this role will fit naturally.

We're looking for someone who knows their craft and takes ownership of their work.

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