Data Engineer (Remote - EMEA or NAMER) at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Environments, API Design, Data Quality, Observability, Python, TypeScript, SQL, Databricks, Spark, Data Pipelines, Data Governance, Agile Methodologies, Collaboration, Mentorship, Performance Optimization

Industry

Internet Marketplace Platforms

Description

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. · 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. · 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. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As a Data Engineer, you will design, build, and maintain scalable data pipelines and APIs that support core product functionalities. You will collaborate with cross-functional teams to ensure data is reliable, discoverable, and actionable.