AWS Lead Data Engineer | AI & Data Team @ Deloitte (práce v Polsku)

AWS Lead Data Engineer | AI & Data Team @ Deloitte

Polsko

? What do we expect from you? ?

• 5+ years of experience in Data Engineering with a strong AWS focus
• Deep expertise in AWS services (S3, Lambda, IAM, Glue) and Infrastructure-as-Code (Terraform)
• DataOps knowledge with CI/CD and orchestration tools
• Hands-on experience building data pipelines and integrating data from diverse sources using SQL, Python, and Spark
• Client-facing experience: you enjoy taking a lead role in projects and interfacing with clients to shape solutions
• Flexibility to work with clients across various time zones (Eastern Time Zone availability is a plus)
• Language skills: Fluent in English (German is a plus)
• EU passport - you may have business trips within the EU

✨ Bonus Skills:

• Hands-on experience with Snowflake, including Data Warehousing concepts and Snowpark
• Knowledge of OneMesh concepts in platform engineering
• Background working with global companies and experience in matrix management

Are you ready to lead impactful projects? Were looking for an experienced Lead Data Engineer to drive end-to-end data solutions for our clients. ?

✔ Expertise in AWS: Are you skilled in AWS services like S3, Lambda, IAM, Glue; along with Terraform and DataOps principles?
✔ Client-facing role: Do you enjoy working directly with clients, shaping solution designs, and leading the entire delivery process for digital transformations?
✔ Exciting projects: Ready to work on unique, high-impact projects for global brands and industry-leading companies?

Our team: ?

We are an international AI & Data team dedicated to empowering top-tier clients with advanced big data analytics, machine learning, and AI solutions. Our mission? Helping clients maximize their data potential while shaping the digital future for global brands and industry leaders. We also develop and deploy our own cloud-based products to create next-generation, data-driven solutions.?

What we offer:

• New professional challenge - be part of the strategic growth of the AI & Data division in Central Europe & beyond
• Diverse and complex projects for leading companies in various industries across Europe
• Long-term development and career growth - we are a strategic partner of various technology providers (e.g., cloud hyper-scalers, ERP & CRM leaders)
• 20-26 days of holidays
• A great international team of experienced professionals and collaboration with Deloitte consultants around the world.
• Challenging tasks with the freedom of action in your field
• Friendly team atmosphere, flexible working set-up
• A clear career path and Career Coach, who will guide you through the organization and your opportunities
• And a wide range of benefits: cafeteria, private medical care, professional training and certification, travel insurance, multi-sport card, regular team building events and much more
• ? Are you interested and would you like to learn more? Let us know and we will contact you for more information.

,[Serve as a Subject Matter Expert: Act as a trusted advisor on the project, working closely with the client to prioritize backlog items, define timelines, and establish milestones for implementation., Scope & Task Management: Break down project scope into actionable tasks and distribute work effectively across the technical team., Coordinate & Deliver: Lead and manage technical delivery to ensure projects are completed on time and at a high standard, serving as the primary point of contact for the client and handling any escalations., Coordinate & Deliver: Lead and manage technical delivery to ensure projects are completed on time and at a high standard, serving as the primary point of contact for the client and handling any escalations., Build Scalable Solutions: Design and implement AWS cloud-based solutions for ingesting structured and unstructured data, enabling AI processing and building write-back functionality to feed insights back to clients., Develop Data Pipelines: Create and deploy batch and near real-time data integration solutions, including ETL processes, API calls, and automated data pipelines, pulling data from both internal databases and external sources., Drive Digital Transformation: Support clients in their digital transformation journey, particularly within Procurement, by implementing specific use cases focused on digital shadow spend., Implement Best Practices: Lead data engineering best practices, including testing strategies and DevOps processes, to maintain high standards in project delivery., Resource Planning: Ensure effective resource allocation and planning for individual engineering tasks to optimize team productivity and project outcomes.] Requirements: Data engineering, AWS, AWS S3, AWS Lambda, IAM, Glue, Terraform, CD, Data pipelines, SQL, Python, Spark, Snowflake

Kategorie

data

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