Data Engineer | 100% Remote

UST España
Lleida (Lérida), Spain
7 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

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

Tech stack

Amazon Web Services Automation of Tests Big Data Continuous Integration Information Engineering Extract Transform Load (ETL) Data Mining Data Security Data Systems Digital Technology Python (Programming Language) Performance Tuning
+7 more
DataOps SQL Databases Transaction Data Data Logging Git Build Management Data Pipelines

Job description

We are looking for the very Top Talent…and we would be delighted if you were to join our team!More in details, UST is a multinational company based in North America, certified as a Top Employer company with over ** employees all over the world and presence in more than 30 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 Data Engineer with strong experience in data migrations, SQL, Python, ETL/ELT pipelines, and AWS, capable of delivering secure, high-quality, and fully reconciled data solutions. Experience with large-scale customer and financial data migrations is essential.Location: 100% Remote only in SpainRequired experience and skillsStrong experience with SQL, Python, ETL/ELT pipelines and AWS for large-scale data migration projects.Proven track record delivering enterprise migrations involving customer, financial and transactional data.Hands-on experience with data quality, reconciliation, validation controls and migration auditability.Knowledge of Git, CI/CD, automated testing and modern data engineering best practices.Understanding of security, privacy, retention and access-control requirements for sensitive data.Strong communication skills, English proficiency, and ability to work with business and technical stakeholders.Key responsibilities:Design and build scalable ETL/ELT pipelines for data extraction, transformation, validation, loading and reconciliation.Define source-to-target mappings and ensure data quality, consistency and integrity across migration processes.Develop reconciliation frameworks and controls for customer, operational and financial data.Support migration rehearsals, cutovers, defect resolution, performance tuning and restartable processing.Implement secure data handling practices, monitoring, logging and operational support procedures.Collaborate with analysts, SMEs and technical teams to resolve legacy-data issues and ensure successful delivery.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 platformsProfessional stability and career plansUST 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 discountsIf 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.

Requirements

We are looking for a Data Engineer with strong experience in data migrations, SQL, Python, ETL/ELT pipelines, and AWS, capable of delivering secure, high-quality, and fully reconciled data solutions. Experience with large-scale customer and financial data migrations is essential. Location: 100% Remote only in Spain Required experience and skills Strong experience with SQL, Python, ETL/ELT pipelines and AWS for large-scale data migration projects. Proven track record delivering enterprise migrations involving customer, financial and transactional data. Hands-on experience with data quality, reconciliation, validation controls and migration auditability. Knowledge of Git, CI/CD, automated testing and modern data engineering best practices. Understanding of security, privacy, retention and access-control requirements for sensitive data. Strong communication skills, English proficiency, and ability to work with business and technical stakeholders.

About the company

Lleida, España

We are looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer company with over ** employees all over the world and presence in more than 30 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all