Die KI-Suchmaschine für Jobs
Senior Machine Learing Engineer on Databricks(m/w/x)
Beschreibung
In this role, you will tackle technical challenges by implementing ML services on Databricks, collaborating with teams to drive scalable projects, and continuously improving processes to deliver high-quality software solutions.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •At least 2 years of experience in Machine Learning Engineering on Databricks
- •At least 5 years of experience in Software Engineering with one additional high-level programming language
- •Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
- •Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
- •Strong problem-solving skills and ability to work independently and in a team
- •Good communication and presentation skills in English and basic skills in German
Berufserfahrung
2 Jahre
Aufgaben
- •Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
- •Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
- •Take over production responsibility to ensure continuous business value
- •Improve standard processes and best practices for services and projects on the platform
- •Help reduce costs for services and projects
- •Write clean, maintainable, and efficient code following best practices and coding standards
- •Perform unit testing and debugging to ensure high-quality software delivery
- •Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
- •Work on CI/CD and data engineering topics
- •Stay up-to-date with industry trends and technologies to enhance software and service offerings
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Flexibles Arbeiten
- •Flexible working hours
Boni & Prämien
- •Performance-based bonus
- •Loyalty bonuses
- •Employee referral program
Firmenwagen
- •Company car option
Sonstige Vorteile
- •Anniversary gifts
Sonstige Zulagen
- •Birth allowances
- •Wedding allowances
- •Relocation cost reimbursement
Mehr Urlaubstage
- •30 days of annual vacation
Moderne Technikausstattung
- •Company smartphone
- •Modern work equipment
Workation & Sabbatical
- •Workation
- •Sabbatical
Mentoring & Coaching
- •Comprehensive onboarding
Weiterbildungsangebote
- •Personalized training program
- •Career and development programs
Gesundheits- & Fitnessangebote
- •Health and fitness programs
- •Health days
- •Company sports groups
- •Running clubs
- •Access to company health insurance
Gratis oder Vergünstigte Mahlzeiten
- •Fresh fruit days
Lockere Unternehmenskultur
- •Flat hierarchies
- •Culture of appreciation
Team Events & Ausflüge
- •Employee events
Mitarbeiterrabatte
- •Corporate benefits program
Snacks & Getränke
- •Free hot and cold beverages
Firmenfahrrad
- •Company bike
Öffi Tickets
- •Public transport subsidy
- ZalandoVollzeitmit HomeofficeSeniorBerlin
- FREENOW
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Vollzeitmit HomeofficeBerufserfahrenab 3.843 / MonatBerlin
Senior Machine Learing Engineer on Databricks(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
In this role, you will tackle technical challenges by implementing ML services on Databricks, collaborating with teams to drive scalable projects, and continuously improving processes to deliver high-quality software solutions.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •At least 2 years of experience in Machine Learning Engineering on Databricks
- •At least 5 years of experience in Software Engineering with one additional high-level programming language
- •Solid understanding of SQL and experience with relational databases (HANA, MS SQL, MySQL)
- •Advanced knowledge of Linux and Operating Systems, and experience with Spark Clusters
- •Strong problem-solving skills and ability to work independently and in a team
- •Good communication and presentation skills in English and basic skills in German
Berufserfahrung
2 Jahre
Aufgaben
- •Implement and productionize ML-based services on Databricks using Python, SQL, and Linux
- •Consult and enable cross-functional teams to build efficient and scalable big-data and data-science projects
- •Take over production responsibility to ensure continuous business value
- •Improve standard processes and best practices for services and projects on the platform
- •Help reduce costs for services and projects
- •Write clean, maintainable, and efficient code following best practices and coding standards
- •Perform unit testing and debugging to ensure high-quality software delivery
- •Collaborate with adjacent teams on governance, infrastructure, data provisioning, and scheduling
- •Work on CI/CD and data engineering topics
- •Stay up-to-date with industry trends and technologies to enhance software and service offerings
Tools & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Flexibles Arbeiten
- •Flexible working hours
Boni & Prämien
- •Performance-based bonus
- •Loyalty bonuses
- •Employee referral program
Firmenwagen
- •Company car option
Sonstige Vorteile
- •Anniversary gifts
Sonstige Zulagen
- •Birth allowances
- •Wedding allowances
- •Relocation cost reimbursement
Mehr Urlaubstage
- •30 days of annual vacation
Moderne Technikausstattung
- •Company smartphone
- •Modern work equipment
Workation & Sabbatical
- •Workation
- •Sabbatical
Mentoring & Coaching
- •Comprehensive onboarding
Weiterbildungsangebote
- •Personalized training program
- •Career and development programs
Gesundheits- & Fitnessangebote
- •Health and fitness programs
- •Health days
- •Company sports groups
- •Running clubs
- •Access to company health insurance
Gratis oder Vergünstigte Mahlzeiten
- •Fresh fruit days
Lockere Unternehmenskultur
- •Flat hierarchies
- •Culture of appreciation
Team Events & Ausflüge
- •Employee events
Mitarbeiterrabatte
- •Corporate benefits program
Snacks & Getränke
- •Free hot and cold beverages
Firmenfahrrad
- •Company bike
Öffi Tickets
- •Public transport subsidy
Über das Unternehmen
Adolf Würth GmbH & Co. KG
Branche
IT
Beschreibung
Das Unternehmen ist ein führender Hersteller von Befestigungstechnik und fördert eine Kultur der Eigenmotivation und Teamgeist.
- Zalando
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - FREENOW
Senior Machine Learning Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorHamburg, Berlin - Deloitte
Senior Consultant Cloud Data Engineering / Databricks(m/w/x)
Vollzeitmit HomeofficeManagementBerlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, München, Stuttgart - Tietoevry
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorab 3.843 / MonatWien, Linz, Graz, Berlin - Tieto Tech Consulting
(Senior) Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenab 3.843 / MonatBerlin