Senior Data Engineer (Azure)

Description

Summary: This role involves designing, developing, and maintaining scalable data pipelines and backend services on Azure, building data products, and ensuring data quality in an Agile environment. Highlights: 1. Work on modern, large-scale data platforms in evolving environments. 2. Collaborate in a cross-functional Agile team with shared ownership. 3. Opportunity to work on modern, scalable data and integration solutions. **About Keyrus** ---------------- Keyrus is a global consulting and technology company focused on **making data matter — truly matter — from a human perspective**. Founded in 1996, Keyrus operates in **28\+ countries across 5 continents**, with more than **3,300 people worldwide**. Our strength comes from combining deep expertise in **Data \& Analytics, AI, Digital, and Management Consulting** with a strong understanding of business realities. Data is never the goal in itself. We use data to **shape understanding, design meaningful experiences, and enable better, real\-life decisions**. At Keyrus, we also believe companies have a responsibility beyond performance. Through our **Foundation and ESG initiatives**, we actively contribute to sustainability, inclusion, and positive societal impact. **\#OneTeamOneKeyrus** **The Role** ------------ As a **Senior Data Engineer (Azure)**, you will work at the intersection of data engineering, backend services, and cloud platforms, helping build scalable data foundations that enable analytics, integrations, and data‑driven decision‑making. You will join a collaborative, cross‑functional team working in an agile environment, contributing end‑to‑end to modern data platforms and integration solutions across the Azure ecosystem. **Job location:** Remote (Europe‑based) **Contract type:** Contractor **Target start date:** ASAP **Working hours:** Full\-time **Compensation:** Daily rate €250 – €350 **Note:** All applications (CVs) must be submitted in English. **Your Impact** --------------- In this role, you will: * Design, develop, and maintain **scalable data pipelines and backend services** on Azure * Build and optimize **data products and data platforms** using modern lakehouse architectures * Develop and maintain **APIs and integrations** to connect internal and external systems * Ensure **data quality, reliability, and performance** across pipelines and services * Work with **structured and unstructured data** to support analytics and downstream systems * Contribute to **CI/CD pipelines**, automation, and deployment processes * Collaborate in a **cross\-functional Agile team**, taking shared ownership of deliverables * Continuously improve solutions, standards, and team practices **What Makes This Role Challenging** ------------------------------------ * You will work on **modern, large\-scale data platforms** in evolving environments * You are expected to balance quality, scalability, and delivery speed * You will collaborate across data, backend, and platform engineering domains * You will contribute beyond isolated components, owning solutions end to end * Autonomy increases with experience — so does responsibility **What We’re Looking For** -------------------------- ### **Must\-haves** * Minimum **5\+ years** of experience as a Data Engineer * Experience working in **Agile/Scrum environments** * Strong experience with **Python** and object\-oriented programming * Solid experience with **Microsoft Azure** (e.g., ADLS, ADF, Synapse, or similar services) * Hands\-on experience with **Databricks** (Notebooks, Delta Lake) * Strong **SQL** skills for data processing and validation * Experience building and maintaining **APIs and backend services** (REST, event\-driven) * Familiarity with **CI/CD pipelines** and DevOps practices * Strong analytical and problem\-solving skills * Fluency in English * Must be based in Europe ### **Nice\-to\-haves** * Experience with **data modeling and data architecture** * Familiarity with **event\-driven architectures and distributed systems** * Experience with **data governance tools** (e.g., Unity Catalog) * Exposure to **AI/ML data preparation or data\-driven platforms** * Experience with **JSON and API\-based data ingestion** * Experience with **Kubernetes / containerized environments** is a plus ### **Mindset \& Soft Skills** * Strong analytical and problem\-solving skills * Proactive, hands\-on, and solution\-oriented mindset * Excellent communication and collaboration skills * Eagerness to learn and work with new technologies * Comfortable working in a **fast\-paced, evolving environment** ### **Working Environment** * Agile and collaborative teams with **shared ownership** * Cross\-functional setup combining data, backend, and platform engineering * Strong focus on **knowledge sharing and continuous improvement** * Opportunity to work on **modern, scalable data and integration solutions** **How Our Salary Ranges Work** ------------------------------ At Keyrus, salary ranges reflect **different levels of mastery and impact within the same role** — not different job titles. * **Bottom of the range** You meet the core requirements and will need ramp\-up time and support. * **Middle of the range** You are fully autonomous from Day 1 and deliver consistently. * **Top of the range** You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on **experience, autonomy, scope, and market context**, and are discussed transparently during the process. **What We Offer at Keyrus Portugal** ------------------------------------ * Competitive salary aligned with your experience and the data market * Meal allowance: **€10\.20/day** * Flexible benefits plan * Private medical insurance * **22 days of annual leave**, increasing every 3 years (up to 25 days) * Continuous learning via **KLX – Keyrus Learning Experience** * A collaborative, international, and human\-centred work environment **Why Keyrus?** --------------- Joining Keyrus means joining: * A **market leader in Data Intelligence** * A company where **people, trust, and diversity** are core values * An environment that values **ownership, flexibility, and innovation** * A place where different backgrounds and perspectives are not just welcomed \= they are essential We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus. **Equal Opportunity Statement** ------------------------------- We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.