Senior Data Engineer

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Boldr

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤝 B2B

☁️ SaaS

B2B • Outsourcing • SaaS

Boldr is a global company that specializes in managed outsourcing and global employment services. The company prides itself on being a certified B Corporation, focusing on ethical outsourcing by building teams that are an extension of the client's brand. Boldr provides a wide array of services including customer experience support, engineering, data, and technical services, primarily targeting industries such as eCommerce and SaaS. It is committed to creating circular value for its clients, careers of its team members, and the communities it operates in, aligning with principles of social sustainability and impact. With a strong emphasis on creating a sense of purpose and belonging, Boldr offers expertise in global recruiting, onboarding, and performance management, supporting over 100 client partners globally.

📋 Description

• 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. • Nice to have: • Working knowledge of Java and/or Scala • Marketing technology industry & relevant vendor knowledge • Experience with Dynamics 365 / Dataverse data integration. • Experience in implementing large-scale data pipelines and optimisation strategies. • Exposure to business intelligence strategy, metadata management, and advanced analytics techniques. • Experience leading technical initiatives.