Altamira is a software development outsourcing company. We provide solutions that make a tangible impact on our client’s growth and productivity. With domain knowledge across product and technology development, we aim to provide cost-efficient solutions without compromising quality. We are driven to deliver the best, every single time.
Altamira service delivery teams currently span Slovakia, Ukraine, and the Middle East, and we have ambitions to expand our footprint to meet the growing demand across Europe and into our primary growth markets in the UK and the US. In terms of industry verticals, we are focused on EdTech, Fintech, eCommerce, and Pharma.
We are looking for a highly technical engineer responsible for optimizing and productionalizing Databricks code written by data scientists. The role involves optimizing Spark performance, data partitioning, and CI/CD setup (likely using Jenkins), as well as MLOps design. The engineer will work independently, ensuring technical delivery and progress tracking with a strong focus on execution.
Client Overview:
One of the largest financial institutions in Central and Eastern Europe. The client’s architecture is based on Azure Databricks and requires performance optimization and production readiness of ML workloads.
Key Competencies Required:
- Azure Databricks (DBX)
- Spark optimization & data partitioning
- Databricks Asset Bundles
- Designing and implementing MLOps frameworks
- Jenkins (or equivalent) for CI/CD automation
- Cluster/job tuning and performance monitoring
- Strong self-management and delivery ownership
Details:
- Number of required positions: 1
- Planned start date: Mid-December to January
- Remote / Onsite / Hybrid: Remote
- Geographical restrictions: EU Based only
- Desired seniority / profile: Senior Databricks Engineer with a strong background in Spark tuning and CI/CD automation. Must be independent, hands-on, and technically focused.
Detailed Hard Skills:
- Databricks (clusters, jobs, notebooks, asset bundles)
- Spark (performance tuning, data partitioning, optimization)
- Jenkins / Azure DevOps CI/CD pipelines
- Terraform (preferred)
- MLOps framework design
- Python (for notebooks)
- Azure cloud components (ADLS, Key Vault, AAD)
- Git integration
- English fluency (German not required, but a plus)"
Our transparent recruitment journey usually takes up to 2 weeks and includes a few stages:
We do believe that the success of altamira.ai is impossible without the success of our Talents and the success of our Clients!
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