11 publicaciones de empleo destacadas de engineer, python (madrid based) en madrid, md (¡Están contratando!)

Data Platform Engineer - Snowflake
Deutsche Bank —Salamanca-Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- Oficina
1d
Senior Power Systems Software Engineer
Artelys —Madrid, Madrid provincia
- Jornada completa
- Español
- Doctorado
- DevOps
Solicitud rápida
Engineering Manager
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- JavaScript
AI Engineering Lead
FeverUp —Madrid, Madrid provincia
- Español
- Inglés
- Máster
Solicitud rápida
Salesforce Tech Lead (Remote from Spain)
UST —Madrid, Madrid provincia
- Teletrabajo
- CRM software
- Azure
- Informática
- Abono gimnasio
Solicitud rápida
Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- SQL
- AWS
- Machine learning
Senior Dataiku Specialist
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Inglés
- Oficina
- Vacaciones pagadas
- Programa de recomendación
Payload Engineer - IRIS2
HISPASAT S,A. —La Poveda, Madrid provincia
- Jornada completa
- Inglés
- Máster
- Control de calidad
Solicitud rápida
(RD) Senior Engineering Team Lead
Backbase —Madrid, Madrid provincia
- Máster
- Python
Solicitud rápida
Senior SQA Engineer (Python)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- Máster
Solicitud rápida
Team Lead IT Operations (m/f/d)
Infront Financial Technology GmbH —Madrid, Madrid provincia
- Jornada completa
- Oracle
- DevOps
- Inglés
1d

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Senior Workplace Engineer (Cloud & Endpoints)
MAPFRE —Majadahonda, Madrid provincia
Conocimientos Avanzados de arquitecturas cloud (Azure y AWS) con foco en servicios que soporten el puesto de trabajo. (Azure DevOps, Log Analytics, Netapp).

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Data Platform Engineer - Snowflake

Deutsche Bank -
Salamanca-Madrid, Madrid provincia

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Detalles del empleo

Jornada completa
Hace 1 día

Cualificaciones

Jira
Informática
Git
Inglés
Java
Terraform
Desarrollo de software
GitHub
Cloud
Relaciones Laborales
Python
SDLC

Descripción completa del empleo

Job Description:

Employer: DWS Group

Title: Data Platform Engineer - Snowflake

Location: Madrid

Job Code: placeholder for LinkedIn job wrapping

About DWS:

Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change.

Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment.

We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow.

As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career.

This is your chance to invest in your future.

Read more about DWS and who we are here.

Team / division overview

DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data. As a Data Platform Engineer, you will combine data and platform engineering expertise to design, build and continuously improve our cloud-based data platform.

Your responsibilities –

As Data Platform Engineer - Snowflake, you will:

Contribute to the end-to-end architecture and design of cloud data platform components, ensuring that solutions are scalable, secure and maintainable.

Collaborate with product owners and stakeholders to understand requirements, translate them into user stories and solution designs, and implement and test the resulting platform capabilities.

Design and develop reusable components for data ingestion, transformation and distribution that improve delivery speed, consistency and operational reliability.

Build and maintain infrastructure components using Terraform and other infrastructure-as-code and automation tools.

Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholders to strengthen regulatory compliance, security and platform reliability.

Work with your product owner to translate product vision and demand into actual implementations

We are looking for

At least three years of experience in platform engineering, data engineering or a related field, ideally with a strong focus on enterprise data platforms. A degree in Computer Science, Engineering, Information Technology or a related discipline is an advantage.
Strong expertise in the modern data stack with focus on Snowflake and solid data engineering fundamentals
Proficiency with IaC (e.g. Terraform), automation tooling, orchestration tooling (e.g. dbt, Airflow)
Very good programming skills in Python and/or Java
Experience with development utilizing software development life cycle (SDLC) tools including Git, JIRA, Artifactory and Github
Strong problem-solving skills, strategic thinking and attention to detail
Fluent in English (written and spoken)
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs

What we’ll offer you:

At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves and it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone.

DWS’ Hybrid Working model is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Each business group varies on the split between time spent in the office and at home, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people.

If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you.

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

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engineer, python (madrid based) empleos en madrid, md

Data Platform Engineer - Snowflake

Senior Power Systems Software Engineer

Engineering Manager

AI Engineering Lead

Salesforce Tech Lead (Remote from Spain)

Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation

Senior Dataiku Specialist

Payload Engineer - IRIS2

(RD) Senior Engineering Team Lead

Senior SQA Engineer (Python)

Team Lead IT Operations (m/f/d)

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