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Senior data engineer (azure)

Bruxelles
Keyrus
Publiée le 6 mai
Description de l'offre

About Keyrus

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.

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

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

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?

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. xlxgzvr

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.

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