Python Data Engineer (Remote)

UST España & Latam; Alicante; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A multinational technology company is looking for a Senior Data Engineer to join their team. This role involves working closely with clients in the financial sector to design and maintain data pipelines, primarily using Snowflake, Python, and SQL. The position is fully remote within Spain, offering a work-life balance and numerous benefits including health care plans and free access to training platforms.

Servicios

Health Care Plan

Teleworking Compensation

Life and Accident Insurances

Free Access to Several Training Platforms

Work Life Balance Measures

Formación

• Demonstrable experience in Cloud Engineering, particularly with Snowflake.
• Good English level (C1) for collaboration with international teams.
• Experience with automated release pipelines and agile methodologies.

Responsabilidades

• Design, develop, and maintain data pipelines and ETL processes using Snowflake.
• Optimize Snowflake data warehouse performance and ensure data accuracy.
• Build robust data pipelines that manage potential failure modes.

Conocimientos

Experience with Snowflake

Data Engineering

Python

SQL

Airflow

Data Modelling

ETL/ELT Best Practices

Educación

Computer Science or Applied Science Degree

Herramientas

DBT

AWS

Azure

Collibra

Descripción del empleo

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.We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

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.

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.

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. 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.

100% remote within Spain.

No intensive working days for friday or summer.

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

Free access to several training platforms

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