Senior Data Engineer

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Dreamix

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

Dreamix is a bespoke software development company specializing in creating tailored software solutions for businesses across various industries. With over 18 years of experience, Dreamix excels in digital transformation, legacy system modernization, and API integrations, providing end-to-end product development services. Their expertise extends to industries such as aviation, fintech, healthcare, and ESG. Dreamix supports its clients with ongoing maintenance and managed services, ensuring robust, scalable, and secure software solutions. With a strong focus on AI & ML development, data science, and DevOps, Dreamix aims to empower organizations with innovative technology to streamline operations and improve efficiency. Their commitment to operational excellence is reflected in their successful collaborations with high-profile clients like Coca-Cola HBC, CERN, and CloudCar, among others.

📋 Description

• Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving). • Define and enforce canonical data models aligned to business domains. • Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs). • Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog). • Establish robust data quality, validation, and testing frameworks across all pipeline layers. • Ensure reliability through proper handling of retries, idempotency, and failure scenarios. • Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products. • Develop and maintain data integrations and APIs to enable seamless data access and interoperability. • Implement data governance, security, and compliance best practices across the platform. • Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture. • Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies.

🎯 Requirements

• A minimum of 5 years of relevant experience in data engineering. • Bachelor’s degree in Computer Science, Information Technology, or a related field. • Databricks certification is a must as well as extensive hands-on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and modern big data ecosystems (e.g., Kafka). • Advanced proficiency in Python and SQL, with extensive experience building scalable ETL/ELT pipelines. • Experience designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas. • Deep understanding of data warehousing and modern Lakehouse/medallion architecture patterns. • Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services. • Experience building data products for consumption via APIs or analytics tools. • Strong understanding of data governance, access control, and regulated data environments. • Proven ability to define engineering standards, mentor engineers, and collaborate effectively in fast-paced environments.

🏖️ Benefits

• A warm and supportive work environment where you can reach your full potential. • Flexible working hours that allow you to balance your work and personal life. • Unlimited home office to help you stay productive and focused. • Opportunities for professional development, including certifications and training. • Additional benefits for academic teaching and speaking engagements. • Knowledge-sharing sessions where you can learn from our Dreamix team. • Team and company-wide events that bring us together. • Amazing week long summer office and winter office initiatives. • Additional health insurance to ensure your well-being.