Senior Data Engineer

About KeyrusKeyrus is a global consulting and technology company focused on
making data matter — truly matter — from a human perspective .
Founded in ****, 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 RoleAs 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 ImpactIn 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.
Expected to balance quality, scalability, and delivery speed.
Collaborating across data, backend, and platform engineering domains.
Owning solutions end to end beyond isolated components.
Autonomy increases with experience — so does responsibility.
What We're Looking ForMust‐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
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 WorkAt 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 ma