Data Engineer (Remote - EMEA or NAMER)

Jobgether; España; A distancia; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Performance-based bonuses

100% remote work

Healthcare and wellness coverage

Continuous learning opportunities

Descripción de la vacante

A prominent recruitment partner is seeking a Mid-Senior Level Data Engineer to develop scalable data systems. The role is fully remote, requiring 4+ years in cloud environments like AWS or GCP, strong software engineering skills, and proficiency in data processing technologies like Databricks. You will have opportunities for mentorship and a collaborative work culture focused on data-driven innovation.

Formación

• 4+ years of experience building and maintaining data infrastructure.
• Strong foundation in software engineering and backend systems.
• Expertise in Databricks, Spark, or other distributed processing systems.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Collaborate with cross-functional teams to define data models.
• Implement best practices for data quality and observability.

Conocimientos

Data infrastructure in cloud environments (AWS, GCP, Azure)

Software engineering and backend systems

Databricks and Spark expertise

Proficiency in Python and/or TypeScript

Advanced SQL capabilities

Data quality and observability

Excellent communication skills

Descripción del empleo

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in NAMER, EMEA. As a Data Engineer, you will play a key role in building and scaling modern data systems that support mission‑critical features and analytics. You'll collaborate closely with product, engineering, and analytics teams to ensure data is reliable, discoverable, and actionable. This role offers the opportunity to work with advanced technologies such as Databricks, Spark, and cloud platforms, contributing directly to data‑driven product innovation. You will operate in a fully remote, high‑impact environment where your work helps shape smarter, more efficient products that reach millions of users globally.

Accountabilities

• Design, build, and maintain scalable data pipelines and APIs that power core product functionalities
• Collaborate with cross‑functional teams to define data models, optimize processing workflows, and ensure system scalability
• Implement and maintain best practices for data quality, observability, testing, and governance
• Continuously monitor, optimize, and troubleshoot performance issues in data ingestion, transformation, and storage processes
• Develop reusable engineering patterns and frameworks that enable teams to leverage data independently and efficiently
• Partner with product, analytics, and machine learning teams to support key initiatives through reliable data access
• Mentor junior engineers and promote knowledge‑sharing to strengthen the overall technical capability of the team

Requirements

• 4+ years of experience building and maintaining data infrastructure in cloud environments (AWS, GCP, or Azure)
• Strong foundation in software engineering and backend systems, including API and data service design
• Expertise in Databricks, Spark, or other distributed processing systems for large‑scale data workloads
• Proficiency in Python and/or TypeScript, as well as advanced SQL capabilities
• Strong commitment to data quality, observability, and automation using testing, monitoring, and alerting tools
• Excellent communication and collaboration skills with a proactive and solution‑oriented mindset
• Demonstrated ability to balance speed and quality while working in agile, high‑impact teams

Benefits

• Competitive base salary aligned with your region (USA, Canada, UK, Ireland, or Spain)
• Performance‑based bonuses and equity options
• Full flexibility with a 100% remote work environment
• Transparent and equitable pay philosophy based on impact and contribution
• Access to continuous learning, development, and mentorship opportunities
• Comprehensive healthcare and wellness coverage
• A collaborative culture built on inclusion, respect, and innovation

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Non‑profit Organizations and Primary and Secondary Education