Data Engineer (m/f/d)

Role OverviewWe are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role focuses on enabling reliable data access, improving data quality, and supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is passionate about working with large datasets and modern data platforms.Key ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL/ELT processes.Develop and manage data architectures, including data lakes, warehouses, and data marts.Ensure data quality, integrity, and consistency across systems.Collaborate with data scientists, AI engineers, analysts, and business stakeholders.Optimize data pipelines and workflows for performance and cost-efficiency.Implement data governance, security, and compliance best practices.Monitor data systems, troubleshoot issues, and ensure high availability.Integrate data from multiple sources including APIs, databases, and streaming platforms.Maintain documentation for data pipelines, systems, and processes.Required QualificationsBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.5+ years of experience in data engineering or a related role.Strong programming skills in Python, Java, or Scala.Proficiency in SQL and working with relational and non-relational databases.Experience with big data technologies such as Apache Spark, Hadoop, or similar.Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow).Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.Strong understanding of data modeling and database design principles.Basic knowledge of AI engineering concepts and ML workflows.Preferred QualificationsHighly preferred: Experience working with Databricks.Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Azure Synapse).Knowledge of streaming technologies (e.g., Kafka, Kinesis).Experience with containerization and orchestration tools (Docker, Kubernetes).Exposure to CI/CD pipelines and DevOps practices.Familiarity with supporting ML/AI use cases (feature engineering, data pipelines for models).Key SkillsStrong problem-solving and analytical thinkingAttention to detail and data accuracyEffective communication and collaboration skillsAbility to work in a fast-paced, data-driven environmentContinuous learning mindsetData Engineer in Abu Dhabi, United Arab Emirates