Data Engineering Team Lead

Automat-it; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading IT services company in Madrid is seeking a Data Engineering Team Lead to oversee and develop a team of Data Engineers. The role requires expertise in AWS architecture, analytics solutions, and team management. Ideal candidates will have a strong background in data engineering with a proven track record of delivering quality projects on time. The position offers a hybrid work model and competitive benefits including professional training and diverse work environment.

Servicios

Professional training and certifications

International work environment

Referral program

Company events and social gatherings

Wellbeing and professional coaching

English classes

Soft skills training

Formación

• 5+ years of experience in data engineering or a related field.
• Proven experience in leading teams and managing projects.
• Strong understanding of AWS services and data architecture.

Responsabilidades

• Manage and coach a team of Data Engineers.
• Own delivery outcomes across multiple projects.
• Design and deploy AWS-based data solutions.

Conocimientos

Team leadership

AWS architecture

Data analytics

Solution design

BI tools

Herramientas

AWS Glue

Amazon QuickSight

Amazon OpenSearch

Descripción del empleo

Work location - hybrid from Madrid

Overview

We’re looking for a Data Engineering Team Lead to build and scale our Data & Analytics capability while delivering modern, production-grade data platforms for customers on AWS. You’ll lead a team of Data Engineers, own delivery quality and timelines, and remain hands-on across architecture, pipelines, and analytics so the team ships fast, safely, and cost-effectively.

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.

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes
• Soft skills training

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

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Specifications

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting