Senior Consultant - Data Engineer
Join Delphi - Where Innovation meets transformation
At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients.
We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset.
Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics, transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future.
About the role
Delphi is seeking a skilled Senior Data Engineer to design and optimize robust data pipelines and solutions using Azure, Databricks, and Microsoft Fabric. In this role, you will collaborate with cross-functional teams to deliver high-performance, scalable, and secure data solutions that drive strategic decision-making. This is a hands-on engineering role with opportunities to contribute to solution architecture, mentor junior team members, and work on impactful data initiatives in a fast-paced, innovative environment.
Job responsibilities
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Build Scalable Data Solutions: Design, develop, and deploy efficient data pipelines using Azure, Databricks, and Fabric.
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ETL/ELT Development: Build and manage data transformation processes to support reporting, analytics, and machine learning.
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Data Integration: Architect seamless data flow across systems, ensuring data integrity, availability, and accessibility.
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Collaborate Across Teams: Partner with data scientists, analysts, and business users to understand requirements and build tailored solutions.
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Optimize Data Workflows: Enhance performance and scalability of data pipelines with a focus on cost-efficiency.
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Cloud Platform Engineering: Utilize cloud-native tools to manage structured, semi-structured, and unstructured datasets.
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Technical Mentorship: Guide junior engineers and promote engineering best practices.
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Client Engagement: Work with stakeholders to define data strategies and translate them into actionable technical implementations.
Job requirements
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Experience: 5–8 years of hands-on experience in data engineering, working with large-scale data solutions in cloud environments.
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Technical Proficiency: Strong expertise in SQL, Python, Spark, and data pipeline orchestration tools.
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Cloud Expertise: Deep working knowledge of Azure services including Data Lake, Data Factory, Synapse, and Databricks.
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Data Architecture: Experienced in designing data lakes, data warehouses, and analytical data models.
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Performance Tuning: Proven ability to optimize data systems for speed, scalability, and reliability.
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Stakeholder Collaboration: Skilled in translating business problems into effective technical solutions.
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Team Collaboration: Excellent communication skills and a collaborative approach; experience mentoring or leading junior engineers is a plus.
What we offer
At Delphi, we are dedicated to creating an environment where you can thrive, both professionally and personally. Our competitive compensation package, performance-based incentives, and health benefits are designed to ensure you're well-supported. We believe in your continuous growth and offer company-sponsored certifications, training programs, and skill-building opportunities to help you succeed.
We foster a culture of inclusivity and support, with remote work options and a fully supported work-from-home setup to ensure your comfort and productivity. Our positive and inclusive culture includes team activities, wellness and mental health programs to ensure you feel supported.
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