Explore the role of AWS Lead Data Engineer at Deloitte. Lead AWS-driven data projects, design scalable cloud solutions, and work with clients across industries in Riga, Latvia. Join our AI & Data Team for an exciting career growth opportunity.

AWS Lead Data Engineer | AI & Data Team – Jobs in Riga,  Latvia | Deloitte

Position Overview

Position: AWS Lead Data Engineer | AI & Data Team
Work Arrangement: Full-time, Hybrid
Location: Riga, Latvia
Department: Consulting
Team: Strategy, Analytics, and M&A
Area of Interest: Cloud, Consulting, Data & Analytics

We are seeking an AWS Lead Data Engineer to join our AI & Data Team in Riga, Latvia. In this exciting role, you will lead end-to-end data solutions, leveraging AWS services to drive digital transformation for clients across Europe. You will work on innovative projects that integrate advanced big data analytics, AI, and machine learning, playing a key role in shaping the future of data-driven solutions.

Job Description

Are you ready to lead impactful data engineering projects? Deloitte is seeking an AWS Lead Data Engineer to work on high-impact digital transformations for global clients. In this role, you will drive end-to-end data solutions using AWS services like S3, Lambda, and Glue, alongside Terraform and DataOps principles.

As a key player in the AI & Data Team, you will manage cloud-based data projects, design scalable solutions, and help clients maximize the value of their data. Your experience with AWS, data engineering, and client-facing roles will help you thrive in a fast-paced environment.

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Key Responsibilities

• Lead and Manage Projects: Oversee the full delivery of AWS cloud-based data engineering solutions.
• Design Scalable Solutions: Build and optimize data pipelines using AWS (S3, Lambda, Glue, etc.), SQL, Python, and Spark.
• Client-Facing Role: Interface directly with clients to shape solutions and ensure successful project outcomes.
• Drive Digital Transformation: Enable clients to transform data strategies, focusing on Procurement and digital shadow spend.
• Best Practices Implementation: Promote the use of DataOps principles, including CI/CD and DevOps best practices.
• Collaborate with Teams: Manage and distribute tasks within the technical team to ensure project milestones are met.

Ideal Candidate Profile

• Experience: 5+ years in Data Engineering with expertise in AWS technologies (S3, Lambda, Glue, IAM, Terraform)
• Technical Skills: Strong understanding of DataOps, CI/CD, and orchestration tools
• Client-Facing: Experience managing projects and interacting with clients
• Languages: Fluent in English (German is a plus)
• Flexibility: Willing to work with clients across multiple time zones (Eastern Time Zone is a plus)
• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Skills and Qualifications

• Technical Skills:
  • Proficient in AWS services (S3, Lambda, Glue, IAM, Terraform)
  • Experience with data engineering frameworks (SQL, Python, Spark, ETL)
  • Familiarity with Snowflake, Data Warehousing, and Snowpark
  • Strong understanding of Infrastructure-as-Code (Terraform)
• Experience:
  • 5+ years of hands-on experience in data engineering
  • Experience leading data engineering projects and managing client relationships
  • Background in managing large-scale data pipelines and cloud infrastructure
• Additional Skills:
  • Expertise in DevOps practices
  • Strong communication and project management skills

Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
• 5+ years of experience in Data Engineering, with a strong focus on AWS
• Experience in cloud architecture, AI & machine learning solutions, and DataOps best practices

What We Offer

• Challenging Projects: Work on innovative data-driven solutions for top global companies.
• Professional Growth: Access to continuous training, certifications, and career coaching.
• Hybrid Work: Flexible work arrangements with both in-office and remote opportunities.
• Career Progression: Clear career paths with opportunities for long-term growth in the company.
• Global Team: Collaborate with experienced professionals and consultants from around the world.

Next Steps

If you’re interested in joining Deloitte as an AWS Lead Data Engineer, apply now to become part of our growing AI & Data Team. You’ll lead impactful projects and help shape the digital transformation of our clients.

Acknowledgment & Diversity

Deloitte is committed to fostering a diverse and inclusive workplace. We encourage candidates from all backgrounds and experiences to apply. Your unique perspective will help us create innovative solutions for clients globally.

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