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Senior machine learing engineer on databricks (m/w/d) (berlin, be, de, 12489)

Berlin
Würth
Ingenieur
Inserat online seit: 2 Dezember
Beschreibung

Let’s do IT!

You usually find a solution to every problem? Or do the solutions even find you? Either way — you enjoy tackling technical challenges, have a keen eye for details, and bring creative ideas to the table? Then we’ve got some exciting tasks waiting for you. You:

* implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux.
* consult and enable cross functional teams to build efficient and scalable big-data- and data-science-projects and take over production responsibility to ensure continuous business value.
* improve standard processes and best practices for services and projects on our platform and help to reduce costs for them.
* write clean, maintainable, and efficient code following best practices and coding standards and perform unit testing and debugging to ensure high-quality software delivery.
* work with adjacent teams on topics such as governance, infrastructure (on AWS, GCP and Azure), data provisioning and scheduling, CI/CD and data engineering.
* stay up-to-date with related industry trends and technologies, and apply them to enhance our software and service offerings.


Bring IT on!

You make the keys smoke when you code? Perfect — we’ve got solid equipment waiting for you, so you can bring your skills to the team. You:

* have at least 2+ years of experience in Machine Learning Engineering on Databricks, including experience with Unity Catalogue, Asset Bundles, Workspace creation, ML Flow, Lakebase and Python.
* have at least 5+ years experience in working in Software Engineering with at least one additional high level programming language.
* have solid understanding of SQL and experience working with relational databases (HANA, MS SQL, MySQL).
* have advanced knowledge about Linux and Operating Systems and about creating, configuring, using and debugging Spark Clusters.
* offer strong problem-solving skills and the ability to work independently as well as part of a team.
* have good communication & presentation skills in English and at least basic skills in German.


Get IT and be happy!

In addition to ever-new keyboards, a great team, and a secure workplace, we offer you a wide range of benefits:

* Permanent employment contract
* Flexible working hours and mobile working (usually 3 days per week)
* 30 days of annual vacation (full-time; pro rata for part-time)
* Performance-based bonus and company car option
* Company smartphone and modern work equipment
* Workation (up to 30 days per year in selected countries)
* Sabbatical (after 3 years of employment)
* Comprehensive onboarding day and personalized training program
* Health and fitness programs (Wellpass, 7Mind, Lifesum, “Fit with Würth”)
* Fresh fruit days, health days, company sports groups, and running clubs
* Career and development programs (e.g. via Würth Academy)
* Flat hierarchies and a culture of appreciation
* Employee events and corporate benefits program
* Free hot and cold beverages at most locations
* Employee referral program (“Employees recruit employees”)
* Loyalty bonuses, anniversary gifts, birth and wedding allowances
* Relocation cost reimbursement (under certain conditions)
* JobRad (company bike) and JobTicket (public transport subsidy)
* Access to Würth company health insurance

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Home > Stellenangebote > Ingenieur Jobs > Ingenieur Jobs > Ingenieur Jobs in Berlin > Senior Machine Learing Engineer on Databricks (m/w/d) (Berlin, BE, DE, 12489)

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