Business-Driven Senior Analytics Engineer
Overview:
We are seeking a forward-thinking Business-Driven Senior Analytics Engineer to join our dynamic data team. This role is perfect for a modern, adaptable professional who thrives on building innovative data products that deliver positive impact. You’ll combine your technical expertise with a strategic mindset to transform raw data into actionable solutions, driving business success while embracing a fail-fast philosophy to iterate and innovate rapidly.
As a key player in our organization, you’ll leverage cutting-edge tools like Microsoft Fabric and Azure Databricks, harness the power of AI models, and bring your experience in developing AI Agents using the MCP (Model Context Protocol) to the table. If you’re passionate about creating data-driven value, adapting to evolving challenges, and pushing the boundaries of what’s possible, this is your chance to shine.
Key Responsibilities:
• Design and Build Data Products: Develop scalable, impactful data solutions that align with business goals, from pipelines to analytics platforms, ensuring they drive measurable positive outcomes.
• Leverage Modern Tech Stacks: Utilize Microsoft Fabric and Azure Databricks to architect robust data ecosystems, optimizing performance and enabling seamless integration.
• AI Innovation: Implement and refine AI models to enhance data products, drawing on your expertise in building AI Agents with the MCP Model Context Protocol to deliver intelligent, context-aware solutions.
• Business Alignment: Collaborate with stakeholders to translate complex business needs into technical requirements, ensuring data products solve real-world problems effectively.
• Fail-Fast Mindset: Embrace rapid experimentation, iterating quickly to test hypotheses, refine solutions, and pivot as needed in a fast-paced environment.
• Data Leadership: Mentor junior team members, champion best practices in data engineering, and advocate for modern, adaptive approaches to analytics.
• Continuous Evolution: Stay ahead of industry trends, proactively adopting new tools, techniques, and AI advancements to keep our data capabilities cutting-edge.
Qualifications:
• Experience: 5+ years in analytics engineering, data product development, or a related field, with a proven track record of delivering impactful solutions.
• Technical Expertise: Deep proficiency in Microsoft Fabric and Azure Databricks (preferred stack), with strong skills in SQL, Python, and data pipeline orchestration.
• AI Proficiency: Hands-on experience building and deploying AI models, including developing AI Agents using the MCP Model Context Protocol.
• Business Acumen: Ability to connect technical work to business value, with a knack for identifying opportunities where data can make a difference.
• Modern Thinker: Comfortable with ambiguity, eager to experiment, and adaptable to shifting priorities with a fail-fast, learn-quick mindset.
• Collaborative Spirit: Excellent communication skills to bridge technical and non-technical teams, with a passion for mentoring and knowledge-sharing.
• Bonus Points: Experience with cloud platforms (Azure preferred), familiarity with DevOps practices, or a portfolio showcasing data products with positive impact.
Why Join Us?
• Impact-Driven Culture: Work on projects that matter, where your data products create tangible benefits for the business and beyond.
• Innovative Environment: Access to the latest tools and technologies, with the freedom to experiment and push boundaries.
• Growth Opportunities: Be part of a team that values modern thinking, adaptability, and continuous learning, with room to shape your career.
Ready to Make a Difference?
If you’re a Senior Analytics Engineer who’s excited to build data products that drive positive change, we’d love to hear from you. Bring your technical prowess, business savvy, and innovative spirit to our team—let’s create something extraordinary together!
Overview:
We are seeking a forward-thinking Business-Driven Senior Analytics Engineer to join our dynamic data team. This role is perfect for a modern, adaptable professional who thrives on building innovative data products that deliver positive impact. You’ll combine your technical expertise with a strategic mindset to transform raw data into actionable solutions, driving business success while embracing a fail-fast philosophy to iterate and innovate rapidly.
As a key player in our organization, you’ll leverage cutting-edge tools like Microsoft Fabric and Azure Databricks, harness the power of AI models, and bring your experience in developing AI Agents using the MCP (Model Context Protocol) to the table. If you’re passionate about creating data-driven value, adapting to evolving challenges, and pushing the boundaries of what’s possible, this is your chance to shine.
Key Responsibilities:
• Design and Build Data Products: Develop scalable, impactful data solutions that align with business goals, from pipelines to analytics platforms, ensuring they drive measurable positive outcomes.
• Leverage Modern Tech Stacks: Utilize Microsoft Fabric and Azure Databricks to architect robust data ecosystems, optimizing performance and enabling seamless integration.
• AI Innovation: Implement and refine AI models to enhance data products, drawing on your expertise in building AI Agents with the MCP Model Context Protocol to deliver intelligent, context-aware solutions.
• Business Alignment: Collaborate with stakeholders to translate complex business needs into technical requirements, ensuring data products solve real-world problems effectively.
• Fail-Fast Mindset: Embrace rapid experimentation, iterating quickly to test hypotheses, refine solutions, and pivot as needed in a fast-paced environment.
• Data Leadership: Mentor junior team members, champion best practices in data engineering, and advocate for modern, adaptive approaches to analytics.
• Continuous Evolution: Stay ahead of industry trends, proactively adopting new tools, techniques, and AI advancements to keep our data capabilities cutting-edge.
Qualifications:
• Experience: 5+ years in analytics engineering, data product development, or a related field, with a proven track record of delivering impactful solutions.
• Technical Expertise: Deep proficiency in Microsoft Fabric and Azure Databricks (preferred stack), with strong skills in SQL, Python, and data pipeline orchestration.
• AI Proficiency: Hands-on experience building and deploying AI models, including developing AI Agents using the MCP Model Context Protocol.
• Business Acumen: Ability to connect technical work to business value, with a knack for identifying opportunities where data can make a difference.
• Modern Thinker: Comfortable with ambiguity, eager to experiment, and adaptable to shifting priorities with a fail-fast, learn-quick mindset.
• Collaborative Spirit: Excellent communication skills to bridge technical and non-technical teams, with a passion for mentoring and knowledge-sharing.
• Bonus Points: Experience with cloud platforms (Azure preferred), familiarity with DevOps practices, or a portfolio showcasing data products with positive impact.
Why Join Us?
• Impact-Driven Culture: Work on projects that matter, where your data products create tangible benefits for the business and beyond.
• Innovative Environment: Access to the latest tools and technologies, with the freedom to experiment and push boundaries.
• Growth Opportunities: Be part of a team that values modern thinking, adaptability, and continuous learning, with room to shape your career.
Ready to Make a Difference?
If you’re a Senior Analytics Engineer who’s excited to build data products that drive positive change, we’d love to hear from you. Bring your technical prowess, business savvy, and innovative spirit to our team—let’s create something extraordinary together!
