Remote Data Engineer (EMEA) – Sporty Job Opportunity

2 weeks ago

⚠️ Before applying, please carefully review all the job requirements

Location:: Dubai UAE, Saudi Arabia, Qatar, Turkey, Jordan
Work Arrangement:: Remote
Experience:: 3+ years in data engineering, data platforms, or business intelligence
Job Type:: Full Time
Company:: Sporty
Salary:: Competitive salary with quarterly performance-based bonuses
Posted:: 2026-09-18
Working Hours:: 10:00 AM – 3:00 PM local time (core hours with flexible schedule options)

Job Overview

Sporty is seeking a skilled Data Engineer to join its remote team across the EMEA region and drive data infrastructure supporting advanced machine learning and data science initiatives. In this key technical role, you will be responsible for creating, enhancing, and maintaining robust data architectures alongside batch and near-real-time data pipelines capable of handling millions of daily updates. Working with high-velocity relational and NoSQL databases, you will optimize data delivery, ensure strict data quality standards, and expand API integrations to manage growing business complexity. The position involves close collaboration with MLOps specialists, data scientists, product owners, and business intelligence analysts to align system architecture with product features. This opportunity is ideally suited for an experienced data professional proficient in SQL, Python, Apache Airflow, Apache Spark, and cloud platforms like AWS who thrives in a collaborative, remote-first environment.

★ Architect, implement, and maintain scalable batch ETL and near-real-time data pipelines across high-velocity data sources handling millions of daily record modifications.
★ Guarantee high standards of data integrity, accuracy, and consistency across all analytical and operational data stores.
★ Analyze and execute internal infrastructure enhancements to optimize data throughput and improve system scalability.
★ Construct and maintain new API integrations to accommodate expanding data volumes and increasingly complex datasets.
★ Partner with data scientists, MLOps engineers, BI analysts, and product managers to map business workflows and tailor system architecture to product requirements.

★ Bachelor's degree (or equivalent practical background) in Computer Science, Engineering, Mathematics, or a related technical discipline.
★ At least 3 years of hands-on experience in data engineering, data platform management, business intelligence, or a closely related technical domain.
★ Demonstrated track record of deploying data-centric solutions, including operational data stores, data warehouses, and integration platforms.
★ Hands-on expertise working with production-grade relational and NoSQL database systems operating at scale.
★ Solid background in data modeling concepts, event-driven architectures, and modern data system design.
★ Advanced proficiency in writing SQL queries and data manipulation.
★ Working familiarity with scripting languages, with a strong preference for Python.
★ Practical experience utilizing workflow orchestration and big data tools, specifically Apache Airflow and Apache Spark.
★ Comprehensive knowledge of Amazon Web Services (AWS) data solutions, including S3, Athena, EC2, Redshift, EMR, EKS, RDS, and Lambda.
★ Prior exposure to machine learning model concepts and lifecycle management (preferred).
★ Familiarity with container deployment and orchestration technologies such as Docker and Kubernetes (preferred).
★ Domain familiarity or practical experience within the gaming sector (preferred).

This role may be suitable for candidates who possess a strong technical background in data engineering and enjoy building resilient data pipelines in a fast-paced environment. Software engineers or data platform developers with experience managing high-throughput databases and cloud infrastructure will find this position rewarding. Individuals who communicate effectively across multidisciplinary technical teams—including MLOps experts, data scientists, and product managers—will thrive here. Furthermore, self-motivated professionals seeking a remote-first work culture with flexible daily schedules, structured core collaboration hours, and continuous technical growth will be well-aligned with this team.

★ Competitive base salary accompanied by performance-driven quarterly bonuses.
★ 28 days of paid annual leave.
★ Flexible remote work setup with core daily working hours from 10:00 AM to 3:00 PM in your local time zone.
★ Employee referral reward program and additional flash bonus incentives.
★ High-performance technical hardware and top-tier equipment.
★ Annual company-wide retreats designed to foster team connection and internal networking.

★ Initial Screening: A remote video discussion with a member of the Talent Acquisition Team.
★ Technical Assessment: An offline take-home practical assignment.
★ Team Interview: A 90-minute remote video session with members of the engineering team.
★ Human Application Review: Every candidate submission is reviewed directly by human recruiters without automated AI filtering, with a target response timeframe of 48 hours.
★ Verification Policy: To maintain recruitment integrity, candidate identity and submitted details may be verified in accordance with applicable privacy and employment regulations.

Applicants may want to highlight relevant experience with large-scale ETL pipeline development, particularly using Apache Spark and Apache Airflow. In your resume or portfolio, detail specific projects involving high-volume relational or NoSQL database management, real-time data streaming, and AWS cloud architectures like Redshift, S3, and EMR. Demonstrating practical accomplishments in building custom API integrations, optimizing data model efficiency, or collaborating with MLOps and data science teams can strengthen your application. Emphasizing experience with containerization technologies like Docker or prior domain exposure to the gaming industry will also showcase strong alignment with the technical requirements.

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