Senior Data Engineer - Hybrid Málaga

UST GLOBAL
Municipality of Madrid, Spain
3 days ago

Role details

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

Job location

Remote
Municipality of Madrid, Spain

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Information Engineering
Data Governance
ETL
Data Transformation
Data Normalization
Systems Integration
Transaction Data
Feature Engineering
Data Ingestion
Large Language Models
Data Lake
Data Management
Databricks

Job description

Lead the Data, AI & BI roadmap for GTB, ensuring scalability, resilience, security, and cost efficiency.

Design and evolve our data lakehouse architecture.

Define and build domain-oriented data products aligned with data mesh principles (data-as-a-product, SLAs, contracts, domain ownership).

Build and maintain data ingestion, ETL and transformation pipelines including CDC-based and event-driven ingestion.

Implement and enforce data governance, data rules, data quality, data normalization/cleaning and guardrails.

Enable AI/ML and LLM use cases (training, feature engineering, RAG, fine-tuning, guardrails, monitoring).

Requirements

Do you have experience in Scalability?, Do you have a Master's degree?, 5+ years in Data Engineering, Data Platforms, AI Engineering or Advanced Analytics, ideally in large or regulated environments.

Proven experience designing and building cloud data platforms and data lakehouse architectures (preferably AWS).

AWS experience: S3, Lake Formation, Glue (Jobs, Crawlers, Data Wrangler), EMR.

Hands-on experience with Databricks or EMR for large-scale data transformation.

Strong background in data ingestion and ETL.

Experience with CDC pipelines and event-driven architectures for ingesting operational/transactional data.

Experience integrating on-premise data lakes with cloud platforms in hybrid architectures.

Experience enabling AI/ML solutions in production environments.

Involvement in data governance, data quality, data rules and guardrails., * Data Engineer

  • AWS
  • AI/ML
  • Data Lakehouse

Benefits & conditions

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

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., UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.

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