Senior Data Engineer
Boldr
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇭 Philippines
Visit company websiteJob Level
Senior
Tech Stack
CloudETLPythonSQL
About the role
- Lead the design, development, and optimization of ETL and data pipelines across multiple platforms, ensuring reliability, scalability, and performance.
- Define and implement best practices for data integration, transformation, quality, security, and governance.
- Manage data migrations, archival processes, and integrations across various systems and databases.
- Create and maintain advanced data visualizations, dashboards, and analytical models (e.g., Power BI or equivalent) to support business insights and decision-making.
- Collaborate with cross-functional teams to define data requirements, translate business needs into technical solutions, and deliver high-quality outcomes.
- Implement and configure platform components and new features for both new and existing clients.
- Set up and maintain unified data models across disparate data sources, ensuring consistency and accessibility.
- Regularly engage with customers to gather requirements, scope and prioritize incoming technical requests, and provide hands-on implementation support.
- Troubleshoot and resolve technical issues, continuously improving system performance and reliability.
- Develop sustainable and automated solutions to address recurring issues, contributing to internal tools and process optimization.
- Maintain detailed documentation and build internal knowledge bases for configurations, workflows, and best practices.
- Mentor and support team members, fostering technical growth and adherence to best practices.
- Collaborate with Product and Engineering teams to provide actionable feedback that enhances the platform and customer experience.
- Promote and uphold Boldr’s values by supporting cross-team collaboration, contributing to a positive culture, and operating with integrity and purpose.
Requirements
- Curious and authentic, just like us! #beboldr
- An analytical and critical thinker, with an eye for even the most minute of details
- Passionate about client satisfaction
- BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management or similar
- 3+ years in a technical role that involves managing and manipulating large data sets, such as ETL, Data Warehousing, Analytics, Data Science etc.
- 6+ years in a client-facing role that involves being a point-of-contact for technical and non-technical users
- Extensive experience in SQL Server, ETL/data pipelines, and data engineering in hybrid on-premise / cloud environments.
- Required: Hands-on experience 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.).
- Proficiency in Power BI, including data modelling, DAX, and advanced dashboard design.
- Knowledge of data governance, quality, security, and compliance best practices.
- Strong analytical, problem-solving, and communication skills; able to work with technical and non-technical stakeholders.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLdata pipelinesSQL Serverdata engineeringMicrosoft FabricLakehousedata modellingDAXdata governancedata quality
Soft skills
analytical thinkingcritical thinkingclient satisfactionproblem-solvingcommunicationcollaborationmentoringattention to detailtechnical growthcross-team collaboration
Certifications
BS degree in Computer ScienceBS degree in EngineeringBS degree in MathematicsBS degree in EconomicsBS degree in StatisticsBS degree in Information Management