20 publicaciones de empleo destacadas de data migration en ajalvir, md (¡Están contratando!)

Senior Data & Analytics Engineer (Europe, 100% remote)
LimeFlight —Madrid, Madrid provincia
- Jornada completa
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- Inglés
- SQL
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Meribel Pharma Solutions —Alcalá de Henares, Madrid provincia
- Trabajo híbrido
- Informática
- Servicio al cliente
- Inglés
ERP Master data MDG
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Sistemas ERP
- Máster
English Content and SEO Manager for International University
VeraContent —Madrid, Madrid provincia
- 25.000 € al año
- Jornada completa
- Español
- Inglés
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Configurable Materials Master Data Domain Lead
Dormakaba Group —Madrid, Madrid provincia
- Jornada completa
- Informática
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GRC Cibersecurity Senior Specialist
Ferrovial Headquarters —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Inglés
Senior Solutions Architect (Data & AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- APIs
Solution Consultant (m/f/d)
Infront Financial Technology GmbH —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Oficina
- SQL
Global Head of Cloud & Data Center (Infrastructure)
SGS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- AWS
Solicitud rápida
Workday Core HCM Consultant
Accenture —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Grado
- Recursos humanos
- Habilidades de comunicación
- Teletrabajo opcional
Corporate HSES Assistant M/F
Renvolt Spain —Madrid, Madrid provincia
- Microsoft Excel
- Inglés
- Liderazgo
Solution Analyst specialized in Linedata EKIP
Teamwill —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Microsoft Powerpoint
- Español
- Microsoft Excel
Microsoft 365 Exchange and Collaboration Expert W/M
AXA —Madrid, Madrid provincia
- Azure
- Inglés
- Sistema operativo Windows
Lead Workplace Engineer - Microsoft 365, Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- De 60.000 € a 100.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Join Our Talent Pipeline for Salesforce Consultants!
Nuvolar —Madrid, Madrid provincia
- Teletrabajo
- Español
- Microsoft Excel
- Salesforce
Solicitud rápida
Senior Python Data Engineer (Dataiku)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Oracle
- Inglés
- Oficina
- Vacaciones pagadas
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Senior Martech Data Engineer
Wunderman Thompson MAP —Madrid, Madrid provincia
- Azure
- Oficina
- SQL
Operations Specialist- Portfolio Services- AVP
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
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- Grado
7d
CS Transformation & Implementation Specialist
lastminute.com —Madrid, Madrid provincia
- Jornada completa
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- Teletrabajo opcional
Solicitud rápida
4d
Senior Data Engineer
Wunderman Thompson MAP —Madrid, Madrid provincia
- Azure
- Oficina
- SQL

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Senior Data & Analytics Engineer (Europe, 100% remote)

LimeFlight
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
ASP.NET
Power BI
Azure
ASP.NET Core
C#
Spark
Microsoft SQL Server
Git
Inglés
.NET
SQL
Docker
Grado
Terraform
Angular
GitHub
ETL
Relaciones Laborales
SaaS

Descripción completa del empleo

Join our fully remote, mission-driven team dedicated to pioneering sustainable inflight service management. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.

Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.

About the role

We are hiring a Senior Data & Analytics Engineer to take end-to-end ownership of our data platform and BI layer.

We are on a mission to contribute to a zero-waste future by drastically reducing food waste, fuel consumption, costs, and most importantly, CO₂ emissions in the airline industry. Every role in our company is a direct contributor to this vision - and as a Senior Data & Analytics Engineer you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.

You will evolve a vendor-built BI solution into a modern, product-grade data platform and ensure that data is transformed into scalable, trusted, and actionable insights for both our customers and internal teams. You’re not just building dashboards, you’re enabling better decisions and measurable impact.

This role combines:

Data Engineering (pipelines, processing, customer facing exports, platform)
Analytics Engineering (modeling, KPIs, semantic layer)
Data Product Ownership (customer impact, insight generation)

What You’ll Own

Platform, Architecture & Pipelines

Own the end-to-end data platform (Databricks and Microsoft Fabric)

Design and operate scalable pipelines and lakehouse architecture
Build scalable ETL/ELT workflows and manage batch/near real-time processing
Ensure data quality, reliability, observability, and performance
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms

Data Modeling & Semantic Layer

Own Power BI semantic models and KPIs
Build clean, scalable dimensional models (star schema)
Ensure performance and consistency of DAX, aggregations, and dataset refresh

Customer-Facing Analytics

Build and maintain customer-facing dashboards and embedded analytics
Ensure consistent and trusted metrics across all outputs
Enable self-service analytics with governance
Maintain and monitor customer facing exports

Data as Product

Translate business and customer needs into scalable data solutions
Define KPIs and reporting standards with Product
Proactively build insights and identify opportunities to create additional customer value
Drive measurable customer and business impact

Platform Quality, Operations, Security & Governance

Build necessary validation scripts, unit tests, data quality checks
Implement CI/CD, testing, and versioning for pipelines and BI
Support multi-tenant architecture, security, and governance
Implement monitoring and alerting (pipelines, refreshes)

Migration & Insourcing (Initial Focus)

Take ownership of a vendor-built BI solution
Reverse-engineer pipelines, logic, and reports
Reduce technical debt and rebuild toward a clean architecture

What We’re Looking For

Experience

5+ years in data engineering / analytics engineering for customer-facing BI products
Experience in SaaS or product-driven environments
Proven track record building scalable data platforms and customer-facing analytics

Technical & Platform Skills

Strong experience with:
- Databricks (Spark / PySpark, Delta Lake)
- Microsoft Fabric or Azure data stack
- Power BI (data modeling, DAX, performance)
Advanced SQL and dimensional modeling (Kimball) expertise
Lakehouse architecture & ETL/ELT design
Multi-tenant data models & embedded analytics

Engineering Practices

CI/CD for data pipelines and BI assets
Write reusable, modular, maintainable and testable code.
Monitoring and data quality practices
Version control (e.g., Git)

Nice-to-have

Azure infrastructure knowledge (IAM, networking)
Data quality/testing frameworks (e.g., Great Expectations)

Mindset

Strong ownership and autonomy: You take full ownership of outcomes, not just tasks
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities
Product thinker: You connect data to user value and turn raw data into clear, actionable insights
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.

Domain expert: You understand business contexts quickly and translate problems into effective data solutions.
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.

Language

Min. English C1

Expected travel needs

2 annual one-week team events

Our Tech Stack

C# (.NET 8–10), ASP.NET Core, Entity Framework Core
Microsoft SQL Server, Azure Blob Storage
Azure App Services & Functions, Docker
Azure Service Bus, Terraform
GitHub Actions, SonarQube, extensive unit & integration tests
Angular Latest Version
Databricks and Azure Fabric

Hiring Process

Recruiter Screen (45 mins)
Interview with the Hiring Manager (1 hour)
Technical interview (1 hour)
Discussion with founder(s) and peer(s) (1 hour)

LimeFlight is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.

Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.

Let’s talk!

Solicitud rápida

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