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Senior Data Engineer (Snowflake, Dbt, Sql & Python) (100% Remote Spain)

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Sevilla

A distancia

EUR 40.000 - 60.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Una empresa multinacional busca un Ingeniero de Datos Senior con sólida experiencia en Snowflake y DBT para unirse a su equipo en el sector financiero. Este puesto 100% remoto en España ofrece condiciones laborales flexibles, formación continua y un enfoque equilibrado entre el trabajo y la vida personal. El candidato ideal debe tener experiencia en la construcción de pipelines de datos, manejo de SQL y entender las mejores prácticas de ingeniería de datos.

Servicios

23 días de vacaciones anuales
Plan de salud
Compensación por teletrabajo
Descuentos en gimnasios
Acceso gratis a plataformas de formación

Formación

  • Experiencia con Snowflake y procesamiento de datos en la nube.
  • Conocimientos sólidos de SQL y experiencia en Python para ingeniería de datos.
  • Conocimiento de patrones de ETL y prácticas de ingeniería de datos.

Responsabilidades

  • Diseñar y mantener pipelines de datos y procesos ETL usando Snowflake.
  • Optimizar el rendimiento del warehouse de datos en Snowflake.
  • Trabajar con equipos internacionales utilizando metodologías ágiles.

Conocimientos

Snowflake
SQL
Python
Airflow
ETL / ELT

Educación

Título en ciencias de la computación o ingeniería

Herramientas

AWS
Azure

Descripción del empleo

UST is looking for the very Top Talent…and we would be delighted if you were to join our family!

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

What are we looking for?

We are looking for a Senior Data Engineer with experience in Snowflake, DBT, SQL & Python, working close to one of our main clients in financial sector.

Main tasks and accountabilities will be :

We’re in the process of transferring many of our data sources and pipelines to Snowflake cloud Databases, so experience with Snowflake Data Engineering or Cloud databases in general will really help you to hit the ground running.

We also use Airflow and DBT heavily, so real world experience of these or adjacent technologies, would be advantageous.

Design, develop, and maintain data pipelines and ETL processes using Snowflake.

Optimize Snowflake data warehouse performance and ensure data accuracy and integrity.

What UST expects from you?

Experience with Snowflake Data Engineering or Cloud databases in general will really help you to hit the ground running.

Real world experience of Airflow and DBT.

Experience of constructing tests and deploying via automated release pipelines is required.

You will have a solid understanding of how to apply data modelling theory and ideally be from a computer science or applied science / engineering background, although relevant industry experience is equally valuable and will be taken into consideration

Experience in python , specifically within Data Engineering, in a commercial setting.

Excellent understanding of ETL / ELT patterns, idempotency and other data engineering best practices

Experience with data modelling (3rd normal form, star schemas, wide / tall projections)

Excellent SQL knowledge, including an understanding of how to write optimised SQL code, good general knowledge of different SQL engines

Working knowledge of agile methodology, and capable of following the framework, contributing to team success through participation in ceremonies and occasionally assisting with scrum-master duties, owning of retro actions and maintaining scrum artefacts.

Knowledgeable in how to build data pipelines that robustly handle different possible modes of failure and maintain Metadata. Optional

Snowflake or DBT Certifications

Demonstrable experience of Engineering in a cloud-based environment, especially with AWS or Azure

Any experience of integrating Data Warehouse / Data pipelines with Data Governance tools like Collibra

Good english level (C1) you will be working with international teams.

Work location

100% remote within Spain.

Business Hours. No intensive working days for friday or summer.

What can we offer?

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).

Free access to several training platforms

Professional stability and career plans

UST also, compensates referrals from which you could benefit when you refer professionals.

The option to pick between 12 or 14 payments along the year.

Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime…)

UST Club Platform discounts and gym Access discounts

If you would like to know more, do not hesitate to apply and we’ll get in touch to fill you in details. We are waiting for you!

In UST we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation or nationality. We have a special commitment to Disability & Inclusion, so we are interested in hiring people with disability certificate.

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