Stellendetails

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

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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.

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Work closely with customers to understand technical and business challenges, identify solution opportunities and translate requirements into scalable platform architectures.

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Design, build and optimise data pipelines, lakehouse architectures, data models and engineering workflows on Databricks.

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Implement and deploy robust solutions for data ingestion, transformation, orchestration, governance and analytics in production environments.

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Collaborate directly with customer stakeholders, acting as a bridge between business needs, platform strategy and technical delivery.

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Support customers hands-on in adopting best practices around Data Engineering, DataOps, CI/CD, cloud architecture and platform enablement.

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Work in agile environments and contribute to the continuous improvement of delivery methods, accelerators and reusable assets.

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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:

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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.

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Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)

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Very active group social program - including conference funding, team building, group events, Reply Exchange

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Recognition for Innovation to foster your personal development

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Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)

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Office space in Icon Vienna with access to Stammstrecke

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Training and certification encouraged

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Home-office contracts

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State-of-the-art work equipment

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Award winning office spaces for an excellent work experience

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Public transport ticket within Vienna

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Gym-membership subsidy for a gym of your choice

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Flexible work environment between client, Reply office and remote work

Qualifications:

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Completed studies in computer science, mathematics, physics, engineering or a comparable field

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Solid experience with Python, SQL, and optionally Java, Rust or similar

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Strong hands-on experience in data engineering, building and operating scalable data pipelines and distributed data processing workloads

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Experience with Databricks, or strong experience with comparable modern data platforms and a willingness to deepen expertise in the Databricks ecosystem

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Good understanding of lakehouse architecture, data modelling, batch and streaming pipelines, orchestration and platform operations

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Knowledge of cloud services from AWS, Azure or GCP, ideally in the context of modern data platform deployments

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Experience with software engineering best practices, including version control, CI/CD, testing, modular development and automation

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Ability to prioritise customer needs and create technical solutions that generate measurable business value

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Experience with agile development concepts like Scrum

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Strong communication skills and confidence in working directly with customer stakeholders in delivery-oriented environments

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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 Forward Deployed Databricks Engineer!