Senior Data Engineer

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Oversee the design, development, and enhancement of ETL and data pipelines across various platforms, ensuring dependability, scalability, and optimal performance.

• Establish and enforce best practices for data integration, transformation, quality, security, and governance.

• Manage data migrations, archival activities, and integrations across multiple systems and databases.

• Develop and sustain advanced data visualizations, dashboards, and analytical models (e.g., Power BI or equivalent) to facilitate business insights and informed decision-making.

• Work collaboratively with cross-functional teams to determine data requirements, convert business needs into technical solutions, and achieve high-quality results.

• Implement and configure platform components and new features for both new and existing clients.

• Establish and maintain unified data models across diverse data sources, ensuring consistency and accessibility.

• Regularly interact with customers to gather requirements, scope and prioritize incoming technical requests, and provide hands-on implementation assistance.

• Diagnose and resolve technical issues, continuously enhancing system performance and reliability.

• Create sustainable and automated solutions to address recurring problems, contributing to internal tools and process improvements.

• Keep detailed documentation and develop internal knowledge bases for configurations, workflows, and best practices.

• Mentor and support team members, encouraging technical growth and adherence to best practices.

• Collaborate with Product and Engineering teams to offer actionable feedback that improves the platform and customer experience.

• Advocate and uphold Boldr’s values by fostering cross-team collaboration, contributing to a positive culture, and operating with integrity and purpose.

⛳️ Requirements

• Curious and genuine, just like us! #beboldr

• An analytical and critical thinker, with a keen eye for the smallest details.

• Committed to client satisfaction.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management, or a related field.

• 3+ years in a technical role involving the management and manipulation of large data sets, such as ETL, Data Warehousing, Analytics, or Data Science.

• 6+ years in a client-facing position serving as a point-of-contact for both technical and non-technical users.

• Extensive experience with SQL Server, ETL/data pipelines, and data engineering in hybrid on-premise/cloud environments.

• Required: Practical experience in designing and operating data solutions within Microsoft Fabric, including Lakehouse, Data Pipelines, or Data Engineering workloads.

• Familiarity with scripting/programming languages for data processing (Python, SQL scripts, etc.).

• Proficient in Power BI, including data modeling, DAX, and advanced dashboard design.

• Knowledge of best practices in data governance, quality, security, and compliance.

• Strong analytical, problem-solving, and communication skills; capable of working with both technical and non-technical stakeholders.

• Nice to have:

• Working knowledge of Java and/or Scala.

• Familiarity with the marketing technology industry and relevant vendor knowledge.

• Experience with Dynamics 365 / Dataverse data integration.

• Experience in implementing large-scale data pipelines and optimization strategies.

• Exposure to business intelligence strategy, metadata management, and advanced analytics techniques.

• Experience in leading technical initiatives.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible work arrangements and a supportive work environment.