About Abylon
Established in 2016 Abylon Consulting is a rapidly growing and innovative IT solutions provider, with a strong focus on providing innovative BI solutions and consulting services. We have high expertise in Microsoft’s data analytics and BI and AI products, hence many of our solutions are based on or tightly integrated with the relevant Microsoft products.
Abylon is a Certified Microsoft Solution partner in Data & AI and Digital & App innovation categories. In 2024 Abylon became an official Databricks Consulting partner.
Our dynamic growth was recognized when Abylon Consulting made it to the Financial Times’ annual list of Europe’s 1000 fastest growing companies for three years in a row (2022, 2023, and 2024), as well as to the Deloitte Technology Fast 50 list in 2022.
Building on our proven track record of success in Hungary, we expanded our expertise and solutions to the UK market, establishing a subsidiary and opening our London office.
If you would like to find out more about us, visit our About us page or our LinkedIn page.
We are currently seeking a Data Platform Engineer with strong experience in Azure-based data platforms, Databricks, CI/CD, DevOps practices, and cloud infrastructure operations.
(This role is not a traditional Data Engineer position. It combines platform engineering, DevOps, Azure infrastructure, Databricks administration, deployment automation, and client-facing technical coordination. The ideal candidate understands how enterprise data platforms are built, deployed, operated, and maintained in a cloud environment.)
Your responsibilities:
- Developing, maintaining, and improving Azure DevOps CI/CD pipelines
- Managing deployment processes for Databricks jobs, database changes, and platform components
- Supporting CI/CD processes from development to production environments
- Support and evolve the Databricks Lakehouse environment (Unity Catalog, Delta Lake, compute clusters, access control)
- Collaborate with data engineers and analytics teams to ensure platform stability and scalability
- Working with Git methodologies, branching policies, and software development lifecycle practices
- Enable development squads through self-service tooling and developer experience improvements
- Setting up and maintaining Azure-based platform environments, including production environments
- Supporting Azure infrastructure components such as app registrations, service principals, Key Vault, managed identities, virtual machines, and access rights
- Managing Databricks platform components with admin-level responsibilities
- Enforce security, cost governance, and compliance at the platform level
- Maintaining Databricks catalogs, external locations, credentials, connections, cluster policies, and permissions
- Supporting Databricks Asset Bundle deployments
- Working with SQL and DDL deployment processes, including metadata database deployments
- Supporting Python-based Databricks jobs and data platform workloads
- Working with Python, PySpark, and Pandas when needed
- Coordinating infrastructure, DevOps, framework, and general architecture-related tasks
- Communicating directly with the client and supporting platform-related discussions
- Troubleshooting deployment, access, configuration, and platform operation issues
- Collaborating with data engineering, DevOps, infrastructure, and client-side teams
You are the perfect candidate if you have…
- Proven experience in platform engineering, DevOps, data platform operations, or a similar role
- Hands-on experience with Azure DevOps pipelines and CI/CD processes
- Experience deploying solutions to Databricks (Unity Catalog)
- Practical knowledge of Databricks administration and platform configuration
- Understanding of Databricks jobs, cluster policies, catalogs, external locations, credentials, connections, and permissions
- Experience with Azure cloud services and platform components
- Familiarity with app registrations, service principals, Key Vault, managed identities, and Azure access management
- Strong understanding of Git, branching strategies, and development lifecycle processes
- Solid SQL knowledge and experience with database deployment processes
- Python knowledge, including PySpark and Pandas
- Ability to work with infrastructure, deployment, and platform configuration topics
- Good problem-solving skills and a structured, ownership-driven mindset
- Ability to communicate clearly with clients and technical stakeholders
- Strong command of written and spoken English
- Bash scripting
- Experience with Azure Data Factory, DDL deployments, setting up production environments from scratch
- Previous Data Engineering background
- Experience supporting enterprise-scale data platforms
Why Join Us?
- Hybrid work: Our modern office is in the 13th district, near the Göncz Árpád city center, in the Agora HUB. We usually meet at the office once a week, but you can also work from home.
- Home Office support: We provide monthly support to help you create high-quality office conditions at home.
- High professionalism: Our colleagues have great expertise, and we support and encourage professional initiatives. Of course, it is also important to us that we feel good while working.
- Flexible working hours: Did you only get a morning appointment at the car service? Do you need to pick up your child from kindergarten or do you have other errands during the day? No problem! We work with flexible working hours as long as the task is completed.
- Sports benefits: We encourage and support various forms of physical activity and sports among our employees. You can use the well-equipped, modern gym in the office building for free, and you can also use our company's own electric bicycles at any time. If you prefer basketball, soccer, or hiking, you will surely find partners with us!
- Trainings: Continuous learning and development are important to us.
- Premium private health insurance: Your wellbeing matters to us, so we provide fast access to high-quality medical care whenever you need it.
- We also provide “SZÉP card” benefits and reward your conscientious work with an annual bonus.
