Senior Manager of Data & Web Engineering

QIMALisbon

On-site Full-time

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Experience Level

Senior Level Manager

Qualifications

The ideal candidate will have a robust background in data engineering, web technologies, and leadership experience. Proven skills in project management, data analytics, and a passion for innovation are essential. Experience with cloud platforms and agile methodologies will be a significant advantage.

About the job

Role overview

This leadership role centers on managing a team responsible for both data and web engineering. The focus is on building solutions that align with marketing strategies and deliver value to clients.

Main responsibilities

Oversee the design and development of web applications
Direct efforts to use data and technology to advance marketing goals
Ensure projects meet client needs and support QIMA’s digital presence

Location

This position is based in Lisbon.

About QIMA

QIMA is a global provider of quality control and compliance services. We help businesses ensure that their products meet high standards of quality and safety, empowering them to enhance their brand reputation and grow in competitive markets.

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About Indicium AI Indicium AI is a globally recognized consultancy specializing in artificial intelligence. We empower the world’s foremost enterprises to seamlessly integrate AI into their operations at scale. With a proven track record across diverse sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unparalleled clarity, speed, and capability in unlocking AI-driven value. Supported by a team of over 600 AI specialists across five international offices, we collaborate with premier partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver impactful AI solutions swiftly and efficiently. About the Role We are seeking a Senior Data Engineer who will act as the technical lead during client projects, overseeing architectural decisions, managing the delivery of intricate data platforms, and establishing engineering standards throughout engagements. This position demands a blend of advanced engineering expertise and exceptional communication abilities to influence stakeholders, mentor team members, and uphold the highest standards of data platform delivery. Key Responsibilities Architecture & Technical Leadership Champion the comprehensive design and implementation of scalable, production-ready data architectures, including Data Warehouses, Data Lakes, and Lakehouses. Set forth data engineering standards, patterns, and guidelines for the team and client projects. Exercise complete technical independence—propose, challenge, and refine architectural solutions both with clients and internally. Advanced Pipeline Engineering Design, construct, and sustain mission-critical ELT pipelines. Enhance complex data workflows for optimal performance, cost-effectiveness, and long-term sustainability. Infrastructure & Platform Engineering Manage data infrastructure provisioning and lifecycle oversight using Infrastructure as Code (Terraform), ensuring scalability, security, and reliability at an enterprise level. Spearhead cloud architecture strategies across AWS and/or Azure, aligning platform decisions with client objectives and commercial considerations. Governance, Security & Reliability Develop and enforce data governance frameworks, including access policies, data quality standards, lineage, and observability, particularly in complex, regulated environments.

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Location: UK or Portugal Department: Engineering Employment Type: Permanent About YLD: At YLD, our mission is to empower our clients to continuously advance. We partner with them to cultivate the skills and capabilities necessary to outpace the competition, recognizing that our success is intrinsically linked to theirs. We are a collective of inquisitive and talented professionals dedicated to making YLD a desirable workplace for growth and retention. As a remote-first consultancy, we specialize in software engineering, product design, and data solutions. With teams spread across London, Lisbon, and Porto, we develop digital solutions that provide lasting value long after project completion. About the Role: As a Senior Data Engineer, you will collaborate with a client team to develop innovative products. We seek individuals who are curious, passionate, driven, and enthusiastic. Proficiency in problem-solving and the ability to design scalable, resilient, and fault-tolerant architectures are essential. Strong communication skills and teamwork are vital as you navigate a fast-paced engineering environment, achieving remarkable results and delivering exciting projects. About You: A Senior Data Engineer at YLD possesses advanced skills across both data engineering and analytics engineering, understanding the nuances between the two. You have experience in building data pipelines and transformation layers, have improved chaotic data projects, and possess thoughtful opinions on data team dynamics, with the flexibility to adapt these views based on context. Your passion for your craft drives you to actively learn and embrace the diverse challenges that consultancy presents: varying clients, technology stacks, and problems. Your Day-to-Day Responsibilities Will Include: Delivering data solutions on client engagements: pipelines, transformation layers, models, and supporting infrastructure. Adapting to diverse client contexts, including legacy warehouse migrations and rescuing struggling transformation layers. Defining and evolving internal standards for data work, including testing, documentation, project structure, and code reviews. Mentoring and developing data engineers within the organization. Participating in client team activities (internal presentations, learning sessions, social events) to foster strong working relationships. Contributing to proposals and aiding in shaping project approaches.

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About Indicium AI Indicium AI is a premier AI-native consultancy, recognized by leading enterprises globally for our ability to scale AI solutions in production. We specialize in various sectors such as Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our focus extends from strategy formulation to execution, enabling organizations to unlock substantial value from AI with unparalleled speed and clarity.With a team of over 600 AI specialists serving more than 50 enterprise clients across 5 global locations, we collaborate closely with top-tier partners, including Anthropic, Databricks, AWS, OpenAI, and Microsoft, to deliver cutting-edge AI solutions that make a measurable impact. About the Role As an Associate Data Engineer at Indicium AI, you will be an integral part of a dynamic team of data professionals dedicated to building scalable and dependable data solutions for prominent organizations across Europe. In this client-facing role, you will assist in the design and development of data pipelines, support data integration endeavors, and enhance your skills under the mentorship of seasoned engineers. This position presents a unique opportunity to develop solid data engineering fundamentals while making a significant impact on our clients' data platforms from day one. Key Responsibilities Data Ingestion & Integration Contribute to data ingestion workflows, extracting data from relational and NoSQL databases, REST APIs, and flat files while ensuring high standards of data quality and consistency. Pipeline Development Assist in the design and development of ELT pipelines, adhering to team standards and best practices in data engineering. Support the monitoring of pipeline executions across cloud and on-premises environments, promptly escalating issues as necessary. Storage & Warehousing Help implement and maintain data storage solutions such as Data Warehouses and Data Lakes. Write and optimize SQL queries to facilitate downstream analytics and reporting requirements. Collaboration & Documentation Engage closely with cross-functional teams, including analysts, engineers, and client stakeholders, to gather requirements and deliver tailored solutions. Ensure comprehensive documentation of pipelines, data models, and processes, fostering a culture of engineering excellence. Learning & Growth Participate in continuous learning opportunities to enhance your skills and advance your career within the data engineering domain.

Mar 26, 2026

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