Hiring.Camp

Forward Deployed Databricks Engineer (m/f/d)

Machine Learning Reply

·

Today

Location
Vienna, Wien, Austria
Workplace
Hybrid
Type
Full-time
Department
Machine Learning Reply Austria
Seniority
Mid
Source
Recruitee

Description

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

Skills

PythonJavaRustAWSAzureGCPCI/CDSQLMachine LearningDatabricksData EngineeringScrum

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