About us:
Amach is an industry-leading technology driven company with headquarters located in Dublin and remote teams in UK and Europe.
Our blended teams of local and nearshore talent are optimised to deliver high quality and collaborative solutions.
Established in 2013, we specialise in cloud migration and development, digital transformation including agile software development, DevOps, automation, data and machine learning…
We are seeking an experienced Data Platform Engineer to join our team in Dublin. This role offers the chance to shape and support our data architecture, working on cutting-edge cloud technologies and driving the success of our data-driven projects. The ideal candidate will have a strong background in Databricks, Snowflake, and AWS and be proficient in MLOps to support seamless deployment and scaling of machine learning models. You’ll play a critical role in our mission to enhance data accessibility, streamline data sourcing pipelines and optimize performance for large-scale data solutions.
Key responsibilities & duties include:
- Architect and Implement Cloud-Native Data Solutions: Design and develop scalable data platforms, focusing on a cloud-native approach, data mesh architectures, and seamless integration across multiple data sources
- MLOps Pipeline Development: Build and maintain MLOps pipelines using tools like MLflow, ensuring efficient and reliable deployment of machine learning models to production environments
- Data Governance and Quality Management: Create and enforce data governance standards, ensuring robust data quality and compliance through tools such as Databricks Unity Catalog
- Data Integration & Migration: Lead migration projects from legacy data platforms to modern cloud solutions, optimizing cost and operational efficiency
- Performance Tuning and Optimization: Leverage tools such as Snowflake and Delta Lake to improve data accessibility, reliability, and performance, delivering high-quality data products that adhere to best practices
Key Projects/Deliverables:
- Data Mesh Architecture: Design and deployment of data mesh frameworks to streamline data integration and scalability across business domains
- MLOps Pipelines: Prototype and operationalize MLOps pipelines to enhance the efficiency of machine learning workflows
- Data Migration & Cost Optimisation: Migrate large-scale datasets to Azure and AWS platforms, with a focus on business-critical data sources and significant cost reductions
- Data Governance Applications: Develop applications to enforce data governance, data quality, and enterprise standards, supporting a robust production environment
Required Experience:
- Experience in Data Platform Engineering: Proven track record in architecting and delivering large-scale cloud-native data solutions
- Proficiency in Databricks and Snowflake: Strong skills in data warehousing and lakehouse technologies with hands-on experience in Databricks, Spark, Pyspark and Delta Lake
- MLOps Expertise: Experience with MLOps practices, ideally with MLflow for model management and deployment
- Cloud Platforms: Knowledge of AWS, with additional experience in Azure beneficial for multi-cloud environments
- Programming Languages: Strong coding skills in Python, SQL and Scala
- Tooling Knowledge: Experience with version control (GitHub), CI/CD pipelines (Azure DevOps, GitHub Actions), data orchestration tools (Airflow, Jenkins) and dashboarding tools (Tableau, Alteryx)
Desirable Skills:
- Experience with Synapse Analytics, Netezza and legacy data systems
- Familiarity with data governance tools and best practices
- Strong problem-solving skills, with an ability to work both independently and as part of a cross-functional team
What’s in it for you:
- An opportunity to join a fast-growing company
- Options for career advancement
- Learning and development opportunities
- Flexible working environment
- Competitive salaries based on experience
Equal Opportunity Employer:
Amach is an equal opportunity employer and makes employment decisions on the basis of merit. We celebrate diversity and are committed to creating an inclusive environment for all employees. This job description is intended to convey essential responsibilities and qualifications for this role, but it is not an exhaustive list of tasks that an employee may be required to perform.
If you are passionate about driving customer success, advising on strategic solutions, and contributing to product innovation, we would love to hear from you!
Not for you?
Check out all of our open positions in our careers page and follow us on LinkedIn for future opportunities.
P.S. Share this with friends and co-workers! Don't be afraid they'll steal it from you, if you're amazing and smart we'll find a role for you. We are growing fast and we are always looking for talented people.
At Amach, we strive to be an inclusive community of open-minded individuals with different backgrounds and we are committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. We strongly believe that a diversity of experience and background is essential to create a fulfilling environment and better solutions for our people and our customers. All Amach employees and contractors are expected to honour this policy and act to ensure that every individual is respected in the workplace.
Your personal data
Amach will process your personal information in accordance with the EU's General Data Protection Regulation (GDPR). We will comply with data protection law and principles, which means that your data will be:
- Used lawfully, fairly and in a transparent way
- Collected only for valid purposes and not used in any way that is incompatible with those purposes
- Relevant to the purposes we have told you about and limited only to those purposes
- Accurate and kept up to date
- Kept only as long as necessary for the purposes we have told you about
- Kept securely
If you would like to contact us about your data, please use the following address: [email protected]
Top Skills
Amach Dublin, Dublin, IRL Office
14 Clanwilliam Court, Dublin, Dublin, Ireland, D02 FK23
