16 beste Stellen als python developer in remote – aktuell auf Personalsuche

Senior Data Platform Engineer
MY.GAMES —Home Office
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GitHub, Inc. —Home Office
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Senior Solution Architect - Medical Devices
NVIDIA —Home Office
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- Doktorat
- Informatik
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14 Tage
AI Operations & Automation Manager - Europe/LaTAM
Storyblok —Home Office
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Workato —Home Office
- Homeoffice
- Informatik
- DevOps
- Systemdesign
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4 Tage
Sr. Software Engineer - Yield Management Team
Cint —Home Office
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- Java
- SQL
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Senior Product Manager
Gradle Technologies —Home Office
- Homeoffice
- Master
- Produktmanagement
- Künstliche Intelligenz
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Senior Content Engineer
Remote Woman —Home Office
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- Master
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Azure DevOps Developers - 100% remote, ASAP, 12+ months
wynwood tech LLC —Home Office
- Vollzeit
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Senior Software Engineer - JVM Language Clients
Clickhouse —Home Office
- Homeoffice
- Java
- SQL
- C++
Senior Content Engineer
Platform.sh —Home Office
- Homeoffice
- Master
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Principal Solutions Engineer - Application Security
Wiz —Home Office
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DevSecOps Mentor (m/w/d)
Education Partners —Home Office
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Pre-Sales Engineer
Gradle Technologies —Home Office
- Homeoffice
- Informatik
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- Flexible Arbeitszeiten
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Senior Data Platform Engineer

MY.GAMES
Home Office

Jetzt bewerben

Details zur Stelle

vor 13 Tagen

Qualifikationen

CI/CD
HDFS
Kubernetes
Spark
Python
Hadoop

Vollständige Stellenbeschreibung

MY.GAMES is a leading European developer and publisher, driven by a singular goal: making great games that capture the hearts of players worldwide. Our community unites 1+ billion registered players.

We’ve developed or produced games, including War Robots, Hustle Castle, Rush Royale, Left to Survive, Tacticool, Grand Hotel Mania, War Robots: Frontiers – and many more.

Our internationally distributed team consists of top-tier gamedev professionals. We work remotely, and our hubs are located in the Netherlands, Cyprus, Armenia, UAE and Serbia.

Come join a universe of professional opportunities: develop and support large scale projects from PC/console/mobile, and create products across various genres – from casuals to shooters.

What you'll do:

Drive the evolution of our Data Platform and lead migration to a new on-premise stack
Build, maintain, and migrate ETL/ELT pipelines from the legacy environment to the new stack
Work across the full toolchain: Python, SQL, Spark, Airflow, HDFS, Kafka, Trino, Iceberg, and dbt
Own Airflow as a production orchestration layer — DAGs, deployment, retries, sensors, pools, queues, callbacks/listeners, backfills, and reruns
Design and implement DataOps practices: monitoring, alerting, SLA/SLO tracking, runbooks, incident diagnostics, and postmortems
Set up observability across Airflow, Spark, HDFS, Kafka, and other platform components
Build custom listeners, exporters, checkers, and internal tooling for platform health diagnostics
Automate recurring team operations: DAG deployment, pipeline migrations, backfill/retry/recovery flows, and pre-release validation
Advance CI/CD and production-readiness standards for data workflows
Contribute to Data Governance at the engineering level — ownership, naming conventions, metadata, lineage, access patterns, auditability, and privacy-by-design
Work with Kubernetes at the application level: updating images, configuring deployments/jobs/cronjobs, migrating services, and managing configs, secrets, and env variables
Help the team cut down on manual ops, recurring failures, and operational noise

What you need to succeed:

Hands-on experience as a Data Engineer, Data Platform Engineer, DataOps Engineer, or in a similar role
Proven track record building and maintaining ETL/ELT pipelines
Strong command of Python and SQL
Practical experience with Spark or other distributed processing frameworks
Deep knowledge of Airflow internals: scheduler, workers, executors, DAG lifecycle, retries, sensors, pools, queues, SLAs, logs, alerts, and callbacks/listeners
Experience running data workflows in production environments
Ability to set up monitoring, alerting, and dashboards — e.g., Grafana/Prometheus-style observability stacks
Solid understanding of monitoring Airflow, Spark, HDFS, and Kafka: failures, lag, resource usage, data freshness, completeness, queue time, and scheduler health
Experience automating engineering processes: scripts, CLIs, internal tools, deployment automation, and validation checks
Familiarity with DWH, Data Lake, and Lakehouse architectures
Experience working with legacy pipelines and migrating them to a modern stack
Kubernetes proficiency at the application level: containers/images, deployments, jobs, cronjobs, configs, secrets, and resource requests/limits
Ability to drive a technical task end-to-end — from problem scoping to a production-ready solution
You think beyond implementation: reliability, observability, maintainability, and lifecycle are part of your definition of done

What we offer:

Work remotely from all around the world
Collaborative working atmosphere in an internal game dev community that unites more than a dozen of internal game studios, crafting innovative experiences across mobile, PC, and console platforms
A strong team of specialists across different areas — access unique expertise and professional knowledge
Possibility to experiment and work on interesting tasks with ambitious goals — we have all resources to implement new ideas
Create great games and win the hearts of players
Push the boundaries of the game industry and lead the way forward

Jetzt bewerben

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