20 publicaciones de empleo destacadas en databricks platform engineer (¡Están contratando!)

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TK ELEVATOR IBERICA HOLDING, SL UNIPERSONAL —Madrid, Madrid provincia
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Appodeal —Barcelona, Barcelona provincia
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Allianz —Barcelona, Barcelona provincia
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Senior AI / MLOps Engineer (d/f/m)
TK ELEVATOR IBERICA HOLDING, S.L. UNIPERSONAL. —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Informática
- DevOps
- Parking gratuito

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Middle/Senior Data Engineer (Databricks)

Itransition -
Unión, Murcia provincia

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Detalles del empleo

Hace 11 días

Beneficios

Abono gimnasio

Cualificaciones

Power BI
Azure
Microsoft SQL Server
Inglés
Tableau
SQL
AWS
ETL
Agile
Cloud
Python

Descripción completa del empleo

We're looking for a Data Engineer (Databricks) who will work closely with clients across various industries to design and implement scalable data solutions tailored to their business needs. This role demands both technical expertise and soft skills, as you’ll be translating complex data requirements into actionable architectures and pipelines while engaging directly with stakeholders.

office remoteEuropean UnionPoland

Requirements

3+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment
Hands-on experience with Databricks Lakehouse Platform
Strong SQL skills and proficiency in Python
Experience designing and deploying solutions in cloud environments (Azure preferred)
Ability to quickly grasp diverse business domains and adapt technical solutions accordingly
Strong communication skills to interact with both technical and non-technical client stakeholders
Experience working in agile, fast-paced project environments with shifting priorities

Nice to have

Experience with Snowflake
Databricks or Snowflake certifications (e.g., SnowPro Core, Databricks Certified Data Engineer)
Familiarity with BI tools such as Power BI, Tableau, or Looker
Previous experience in sectors like finance, healthcare, retail, or manufacturing is a plus

Responsibilities

Interact with client stakeholders to surface data requirements, audit existing systems, and architect scalable, future-proof solutions
Design, build, and maintain production-grade ELT/ETL pipelines using modern data stack tools and frameworks
Deploy and govern cloud-based data platforms on Azure and AWS, selecting the right approach for each engagement's unique constraints
Champion data governance, security, and compliance standards
Produce clear technical documentation and lead knowledge transfer sessions that genuinely enable client teams to operate independently
Support project scoping, estimation, and reporting with delivery managers and consultants

We offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Any questions?

Anna

[email protected]

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