Forward Deployed Databricks Engineer (m/f/d)

At Machine Learning Reply Austria , we strive to work on leading-edge technology projects with our clients. To strengthen our team, we are looking for a Forward Deployed Databricks Engineer with a strong technical background and a passion for building impactful data and AI solutions directly with customers.

Machine Learning Reply, with its sister companies in Italy and Germany and over 15000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Web Development, Cloud technologies, Data Platforms and the right organisational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready solutions.

We have a vast expertise in every step of the product implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimise already existing processes and products while simultaneously adapting to cloud technologies

Tasks

- You are responsible for delivering customised end-to-end data platform and analytics solutions on customer projects, with a strong focus on Databricks-based implementations across the full project lifecycle.
- Work closely with customers to understand technical and business challenges, identify solution opportunities and translate requirements into scalable platform architectures.
- Design, build and optimise data pipelines, lakehouse architectures, data models and engineering workflows on Databricks.
- Implement and deploy robust solutions for data ingestion, transformation, orchestration, governance and analytics in production environments.
- Collaborate directly with customer stakeholders, acting as a bridge between business needs, platform strategy and technical delivery .
- Support customers hands-on in adopting best practices around Data Engineering, DataOps, CI/CD, cloud architecture and platform enablement .
- Work in agile environments and contribute to the continuous improvement of delivery methods, accelerators and reusable assets.
- Stay up to date with the latest developments in Databricks, cloud ecosystems and modern data architectures , and work together with market-leading technology partners.

What we offer you:

- We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.
- Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
- Very active group social program - including conference funding, team building, group events, Reply Exchange
- Recognition for Innovation to foster your personal development
- Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
- Office space in Icon Vienna with access to Stammstrecke
- Training and certification encouraged
- Home-office contracts
- State-of-the-art work equipment
- Award winning office spaces for an excellent work experience
- Public transport ticket within Vienna
- Gym-membership subsidy for a gym of your choice
- Flexible work environment between client, Reply office and remote work

Requirements

Qualifications:

- Completed studies in computer science, mathematics, physics, engineering or a comparable field
- Solid experience with Python, SQL , and optionally Java, Rust or similar
- Strong hands-on experience in data engineering , building and operating scalable data pipelines and distributed data processing workloads
- Experience with Databricks , or strong experience with comparable modern data platforms and a willingness to deepen expertise in the Databricks ecosystem
- Good understanding of lakehouse architecture , data modelling, batch and streaming pipelines, orchestration and platform operations
- Knowledge of cloud services from AWS, Azure or GCP , ideally in the context of modern data platform deployments
- Experience with software engineering best practices , including version control, CI/CD, testing, modular development and automation
- Ability to prioritise customer needs and create technical solutions that generate measurable business value
- Experience with agile development concepts like Scrum
- Strong communication skills and confidence in working directly with customer stakeholders in delivery-oriented environments
- Excellent German skills, good English skills, and willingness to travel if required by the project

What are you waiting for?

Join our team at Machine Learning Reply as a Data Scientist !