Data Engineering Team Lead

Overview

We are on a mission to help startups grow, deliver & win. Join Our Team! Welcome To Automat-it. EMEA Startups’ Fastest Growing AWS Partner. At Automat-it, we value the unique contributions of each team member and support the growth and satisfaction of our employees while delivering technological innovation.

Here, you’ll have the opportunity to learn, experiment, and innovate, with the necessary resources and encouragement. If you’re passionate and driven to pursue excellence, Automat-it is the ideal destination to thrive and make a meaningful impact in cloud technology. We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

_location_ : hybrid from Madrid. If you are interested in this opportunity, please submit your CV in English.

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Responsibilities

• Manage, coach, and grow a team of Data Engineers through 1 : 1s, goal setting, feedback, and career development.
• Own end-to-end delivery outcomes (scope, timelines, quality) across multiple projects; unblock the team and ensure on-time, high-quality releases.
• Lead customer-facing workshops, discovery sessions, and proof-of-concepts, serving as the primary technical point of contact to translate requirements into clear roadmaps, estimates, and trade-offs in plain language.
• Support solution proposals, estimates, and statements of work; contribute to thought leadership and reusable accelerators.
• Collaborate closely with adjacent teams (MLOps, DevOps, Data Science, Application Engineering) to ship integrated solutions.
• Design, develop, and deploy AWS-based data and analytics solutions to meet customer requirements. Ensure architectures are highly available, scalable, and cost-efficient.
• Develop dashboards and analytics reports using Amazon QuickSight or equivalent BI tools.
• Migrate and modernize existing data workflows to AWS. Re-architect legacy ETL pipelines to AWS Glue and move on-premises data systems to Amazon OpenSearch / Redshift for improved scalability and insights.
• Build and manage multi-modal data lakes and data warehouses for analytics and AI. Integrate structured and unstructured data on AWS (e.g. S3, Redshift) to enable advanced analytics and generative AI model training using tools like SageMaker.

Requirements

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering equal opportunities for all. Our recruitment decisions are based on experience and skills, recognizing the value you bring to our team.

Apply for this position We’re always interested in great talent—introduce yourself here!

Meet One Of Our A-Team Joining Automat-it means becoming part of an exceptional international culture, with a presence in multiple offices across several countries. Our diverse team collaborates globally and values inclusive excellence.

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