Databricks Senior Data Engineer
3 weeks ago
Join our Dublin-based team as a Senior Data Engineer and play a pivotal role in shaping our data architecture. You will work with innovative cloud technologies to drive impactful, data-centric projects.
We are seeking an accomplished Senior Data Engineer with in-depth experience in Databricks, Snowflake, AWS, and MLOps. The ideal candidate will have expertise in designing and implementing cloud-native data solutions, building and maintaining MLOps pipelines, and establishing data governance and quality standards.
- Design Cloud-Native Data Solutions: Develop scalable, resilient data platforms using cloud-native technologies, data mesh frameworks, and integration across diverse data sources
- Build and Maintain MLOps Pipelines: Use tools like MLflow to create reliable, efficient pipelines for deploying machine learning models in production environments
- Establish Data Governance and Quality Standards: Develop and uphold data governance practices, ensuring robust data quality and compliance using tools like Databricks Unity Catalog
- Oversee Data Integration and Migration: Lead migration projects from legacy data systems to modern cloud platforms, focusing on optimising operational costs and efficiencies
- Performance Optimisation and Tuning: Use tools such as Snowflake and Delta Lake to enhance data accessibility, reliability, and performance, delivering robust, high-quality data products
- Data Mesh Architecture: Design and deploy data mesh frameworks to support seamless data integration and scalability across business functions
- Operationalise MLOps Pipelines: Develop and manage MLOps pipelines to streamline machine learning model deployment and operational efficiency
- Data Migration and Cost Optimisation: Lead large-scale data migrations to Azure and AWS, focusing on business-critical data sources and substantial cost reductions
- Data Governance Applications: Create applications to reinforce data governance, quality, and enterprise standards, ensuring a secure and compliant production environment
Required Experience:
- Proven experience in architecting and delivering large-scale, cloud-native data solutions
- Hands-on experience in Databricks, Spark, Pyspark, and Delta Lake, with strong skills in data warehousing and lakehouse solutions
- Practical experience in MLOps, ideally with MLflow for model management and deployment
- Strong knowledge of AWS, with additional experience in Azure advantageous for multi-cloud setups
- Advanced coding abilities in Python, SQL, and Scala
- Familiarity with version control (GitHub), CI/CD tools (Azure DevOps, GitHub Actions), orchestration tools (Airflow, Jenkins), and dashboarding tools (Tableau, Alteryx)
- Experience with Synapse Analytics, Netezza, and legacy data systems
- Knowledge of data governance best practices and tools
- Excellent problem-solving skills, with the ability to work both autonomously and collaboratively in cross-functional teams
This is an excellent opportunity to join a fast-growing company and contribute to driving digital innovation. As a Senior Data Engineer, you will be responsible for designing and implementing cloud-native data solutions, building and maintaining MLOps pipelines, and establishing data governance and quality standards.
The ideal candidate will have a strong background in data engineering, experience with cloud-native technologies, and a passion for delivering high-quality data products. We offer a competitive salary, ongoing learning and development opportunities, support for career advancement, and a collaborative working environment.
Our company values empowerment, quality, integrity, and success. We strive to foster a culture of diversity, equity, and inclusion and believe that a diverse team is essential for creating fulfilling environments and better solutions for our people and customers.
As a Senior Data Engineer at Amach, you will be part of a talented team of technology specialists who deliver sustainable digital innovation across systems, processes, and people. If you are passionate about data engineering and want to contribute to driving digital innovation, we encourage you to apply for this exciting opportunity.
Competitive salary and rates
Ongoing learning and development
Support for career advancement
Pension
Health Insurance
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