Senior Databricks & Power BI Engineer (Capital Markets Data Hub)

Matrix Global

$100K — $130K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on data engineering and business intelligence experience.
  • Strong expertise in Databricks, including Apache Spark, Delta Lake, and workflow orchestration.
  • Proven development experience with Power BI, including dashboard design and DAX.
  • Experience building metrics frameworks for data quality or operational monitoring.
  • Strong skills in SQL and Python programming.
  • Experience with large-scale datasets in regulated sectors, specifically Capital Markets or Financial Services.
  • Excellent communication skills for collaboration with technical and business teams.

Responsibilities

  • Design, build, and optimize data solutions on Databricks using Spark and Delta Lake.
  • Develop and maintain workflows for capturing data quality metrics.
  • Create interactive Power BI dashboards for monitoring KPIs and data quality trends.
  • Collaborate with stakeholders to define reporting requirements.
  • Implement scalable data models to support analytics and reporting needs.
  • Troubleshoot performance issues in reporting solutions and enhance efficiency.
  • Contribute to best practices in data engineering and documentation.

Benefits

  • Opportunity to shape a strategic data platform for Capital Markets.
  • Establish reporting frameworks that enhance data quality and transparency.
  • Focus on operational excellence across financial services.
  • Collaborative environment with technical and business stakeholders.
Full Job Description
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Requirements

Job Title: Senior Databricks & Power BI Engineer (Capital Markets Data Hub)

We are seeking a hands-on Senior Databricks & Power BI Engineer to join our team in building a next-generation Capital Markets Data Hub. This role will focus on developing data pipelines and reporting capabilities that provide actionable insights into data quality, data management, and operational performance across the organization.

Key Responsibilities

  • Design, build, and optimize data solutions on the Databricks platform using Spark and Delta Lake.
  • Develop and maintain workflows that capture and process data quality metrics generated across multiple systems and processes.
  • Create interactive Power BI dashboards and reports to monitor data management KPIs, operational metrics, and data quality trends.
  • Partner with data governance, operations, and business stakeholders to define reporting requirements and success metrics.
  • Implement scalable and reusable data models to support analytics and reporting needs.
  • Troubleshoot performance issues and continuously improve the reliability and efficiency of reporting solutions.
  • Contribute to best practices around data engineering, documentation, testing, and deployment.

Required Qualifications

  • 5-7 years of hands-on experience in data engineering and business intelligence roles.
  • Strong expertise with Databricks, including Apache Spark, Delta Lake, notebooks, and workflow orchestration.
  • Proven experience developing enterprise reporting solutions using Power BI, including dashboard design, DAX, data modeling, and performance optimization.
  • Experience building metrics and reporting frameworks for data quality, data governance, or operational monitoring initiatives.
  • Strong SQL and Python skills.
  • Experience working with large-scale datasets in regulated environments, preferably within Capital Markets or Financial Services.
  • Excellent communication skills and the ability to work closely with both technical and business stakeholders.

Preferred Qualifications

  • Experience with Azure data services and CI/CD practices.
  • Familiarity with data governance and data quality frameworks.
  • Knowledge of Capital Markets domains such as trading, risk, reference data, or post-trade operations.

This is an excellent opportunity to help shape a strategic data platform and establish the reporting foundation that enables improved data quality, transparency, and operational excellence across Capital Markets

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