Senior Data Engineer

UST
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

Airflow
Code Review
Databases
Data Dictionary
Information Engineering
Data Governance
ETL
Data Warehousing
Relational Databases
Database Design
DevOps
Entity Relationship Models
SQL Azure
Pair Programming
Azure
Snowflake
Database Migration
Microsoft Fabric
Data Pipelines
Legacy Systems

Job description

Build, test, and maintain reliable data pipelines that ingest, transform, and deliver data across the organisation · Support and maintain existing legacy data applications, databases, and ETL processes · Define and enforce data engineering standards, patterns, and best practices · Collaborate with product owners, software developers and DevOps to translate requirements into scalable schemas/data models for next-generation applications · Contribute to platform and infrastructure maintenance including optimising orchestration and warehouse usage, as well as cost-effective database design · Contribute to code reviews, pair programming and knowledge sharing

Requirements

Significant experience in data engineering, with a proven ability to design and operate data pipelines at scale · Strong proficiency in SQL Server/Azure SQL and data stack tools including Azure Data Factory, dbt and Airflow · Solid understanding of data warehousing in Snowflake/Microsoft Fabric and lakehouse patterns · Strong practical skills in logical and physical data modelling, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders

Desirable · Experience producing comprehensive documentation, including technical decision records, data dictionaries and entity relationship diagrams · Familiarity with DevOps practices such as schema drift detection and database migrations or Data Governance best practices such as cataloguing and lineage · Experience supporting and maintaining relational databases and legacy applications · Knowledge of Financial Services and relevant regulations (e.g. FCA, GDPR)

Benefits & conditions

Work Location 100% remote within Spain.

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).
  • `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Health Care Plan…)
  • 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, don't hesitate to apply and we'll get in touch to fill you in detail. 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.

About the company

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., Nunca debes compartir tus datos bancarios ni fotos de tus documentos al solicitar un empleo. Si tienes alguna duda sobre un proceso de selección En esta oferta serás redirigido a la pagina web de la empresa. Completa el formulario en su web. * 100% En remoto Ubicación * España Imprescindible Residir * Big Data Funciones * Jornada completa Jornada * 3-5 años Experiencia * Indefinido Tipo contrato * Snowflake Python Data Build Tool Azure Data Factory

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