Vagas remotas de Spark com elegibilidade clara.

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

• Lead
• Kubernetes
• Python
• Spark

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

• Lead
• Kubernetes
• Python
• Spark

Design and build systems that improve the efficiency of ML training and inference workloads.

• Lead
• Java
• Python
• Spark

Design and build systems that improve the efficiency of ML training and inference workloads.

• Lead
• Java
• Python
• Spark

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.

• Kubernetes
• Spark

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.

• Kubernetes
• Spark

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents

• Lead
• AWS
• Kubernetes
• Python
• +2

Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents

• Lead
• AWS
• Kubernetes
• Python
• +2

With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.

• AWS
• Python
• REST
• +1

With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.

• AWS
• Python
• REST
• +1

Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.

• Senior
• AWS
• Kubernetes
• Python
• +2

Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.

• Senior
• AWS
• Kubernetes
• Python
• +2

Ownership: Take full responsibility for your flagship accounts, defining a clear strategy and relentlessly driving it to exceed revenue and consumption goals.

• Spark

Drive requirements clarity and design decisions for ambiguous problems

• Lead
• Java
• Spark

Define the architecture and technical strategy for Databricks' AI security tooling platform — spanning adversarial testing, behavioral monitoring, threat detection, and automated assessment of AI components

• Lead
• Python
• Spark

Identify and drive impactful product improvements in your domain of expertise

• Lead
• Python
• Spark
• SQL

Form successful relationships with clients throughout Spain, providing technical and business value to Databricks customers in collaboration with Account Executives.

• Lead
• Java
• Python
• Spark

Drive requirements clarity and design decisions for ambiguous problems

• Java
• Spark

Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.

• Lead
• AWS
• Azure
• GCP
• +1

Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.

• Senior
• Python
• Spark

Drive requirements clarity and design decisions for ambiguous problems

• Senior
• Java
• Spark

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

• Senior
• AWS
• Azure
• CI/CD
• +5

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration

• Senior
• AWS
• Azure
• CI/CD
• +5

Architecting Standards: You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region.

• Lead
• Spark

Lead, mentor, and develop an inclusive pre-sales team in Denmark, supporting both performance and long-term career growth.

• Lead
• Spark

You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals

• AWS
• Azure
• Spark

Lead and develop a team of global alliance professionals responsible for managing Databricks' Managed Gold Portfolio of Systems Integrator partners.

• Spark

Designing secure, scalable architecture

• Lead
• Python
• Spark

Engage with Solutions Architects to understand the full use case demand plan for prioritised customers

• Lead
• Python
• Spark

Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems

• AWS
• Azure
• GCP
• +1

Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills

• Lead
• AWS
• Java
• Python
• +1

Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis.

• AWS
• Java
• Python
• +1

Architect and implement next-generation distributed systems capable of handling the immense throughput and concurrency requirements of Twilio Voice.

• AWS
• GCP
• Java
• +2

Own the technical direction for key parts of Chainguard Repository, including customer-facing registries, APIs, and serving systems that make Chainguard artifacts easy to consume securely and reliably.

• Lead
• Docker
• Snowflake
• Spark

Long-term ownership of a significant domain within the clearing house: customer onboarding workflows, entitlement management, or data validation pipelines

• Lead
• GCP
• Snowflake
• Spark

Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that converts package specifications into real downloadable artifacts, improving reliability, performance, resource usage

• Senior
• CI/CD
• GCP
• Kubernetes
• +2

Build and maintain core components of the clearing house in Go on GCP including customer onboarding flows, entitlement logic, and data ingestion pipelines

• Senior
• GCP
• Snowflake
• Spark

Design, build, and maintain secure CI/CD pipelines with security gates that catch issues before they reach production.

• Senior
• AWS
• CI/CD
• GCP
• +4

Success Planning & Value: Drive business success planning by partnering with customers, pre-sales, and post-sales teams to align on requirements, goals, and challenges.

• Lead
• AWS
• Azure
• GCP
• +2

Set the technical direction for the Athena clearing house by making the hard architectural calls on data validation pipelines, customer entitlement systems, workflow orchestration, upstream reconciliation, OSV publication

• Lead
• GCP
• Snowflake
• Spark

Own the product security research agenda for Chainguard scanning the broader ecosystem, identifying emerging attack patterns, and translating them into clear risks and opportunities for Chainguard and our customers.

• Lead
• Snowflake
• Spark

Own and deliver partner-sourced and partner-influenced pipeline and revenue outcomes across a portfolio of assigned VARs and Regional System Integrators, with clear accountability for contribution to overall bookings.

• Lead
• Snowflake
• Spark

Land and expand in our most strategic major target accounts within Banking, Financial Services, Telco, Pharma and other sectors.

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Prospect and identify potential clients across the Benelux region in the security sales market using various lead generation techniques, such as cold calling, emailing, social media outreach, and attending industry events.

• Salesforce
• Snowflake
• Spark

Find high-leverage opportunities: Run listening tours and current-state assessments across functions. Identify and prioritize the workflows where AI can deliver outsized impact, weighing impact potential against feasibility

• Python
• Snowflake
• Spark

Collaborate proactively with a distributed team

• Kubernetes
• MongoDB
• PostgreSQL
• +3

Work across the entire Linux stack, from kernel, networking, storage, to applications,

• AWS
• Azure
• GCP
• +4

You will lead a team building scalable data solutions for Kubernetes and cloud machines

• Lead
• Golang
• Kubernetes
• Python
• +2

Understand Ubuntu, Linux, networking and services in real-world environments

• Lead
• AWS
• Azure
• Kubernetes
• +4

Lead and develop a team of Field engineers, ranging from graduate to senior, in the areas of Presales and Professional Services

• Lead
• AWS
• Azure
• GCP
• +4

Work across the entire Linux stack, from kernel, networking, storage, to applications

• AWS
• Azure
• GCP
• +3

Understand Ubuntu, Linux, networking and services in real-world environments

• AWS
• Azure
• Kubernetes
• +4

You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.

• Senior
• AWS
• Azure
• GCP
• +1

Full SDLC Support for new product features being developed in ENG and non-ENG teams. This would include Threat Modeling, Design Review, Manual Code Review, Exploit writing, etc.

• Lead
• Java
• JavaScript
• Python
• +1

Assess your list of assigned accounts and develop a strategy to execute against it

• Spark

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing,

• Lead
• AWS
• Azure
• CI/CD
• +4

Engage with Solutions Architects to understand the full use case demand plan for prioritised customers

• Lead
• Python
• Spark

Contribute to building new features from initial architecture choices to the marketable product impulsing innovative solutions and the most recent technologies

• Senior
• AWS
• CI/CD
• Docker
• +8

Build and support data pipelines that ingest data from external systems

• Senior
• GCP
• Java
• LLM
• +3

Architect and implement next-generation distributed systems capable of handling the immense throughput and concurrency requirements of Twilio Voice.

• Senior
• AWS
• GCP
• Java
• +2

Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers

• Senior
• Docker
• Kubernetes
• Python
• +1

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +4

Arbeite Hand in Hand mit Produkt und Design, um Ideen von einem ersten groben Konzept zu einer hochwertigen, skalierbaren Lösung in einem geschäftskritischen Bereich zu bringen

• Senior
• JavaScript
• Node.js
• PHP
• +4

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Middle
• Azure
• Python
• Spark
• +1

Design and optimize complex data storage solutions, including data warehouses and data lakes.

• Senior
• AWS
• Azure
• Python
• +2

Praxisnahe Modernisierung einer geschäftskritischen Frontend-Anwendung durch den Abbau technischer Schulden, das Refactoring von Legacy-Code und das Treffen pragmatischer technischer Entscheidungen, die Schnelligkeit

• Senior
• React
• Spark
• TypeScript
• +1

Build and optimize cloud-native data pipelines on AWS — ETL/ELT and the infrastructure underneath (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) — using AI tooling as a standard part of the workflow.

• Middle
• AWS
• Azure
• GCP
• +5

We’re building the next generation of enterprise software, starting with products that help talent leaders, recruiters, and managers unlock hiring excellence

• Middle
• Spark

We’re building the next generation of enterprise software, starting with products that help talent leaders, recruiters, and managers unlock hiring excellence

• Middle
• Spark

Design and operate production ML systems for large-scale, streaming data

• Senior
• Java
• JavaScript
• Kubernetes
• +3

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Builds/ Optimizes machine learning models.

• Senior
• AWS
• LLM
• Python
• +2

Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.

• Senior
• Docker
• Kubernetes
• Python
• +2

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Lead and manage team of data engineers, across either core data products or finance assurance

• Lead
• AWS
• CI/CD
• Python
• +2

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Design, develop, and implement data pipelines and ETL processes to ingest, transform, and load data into the data platform.

• Senior
• AWS
• Azure
• Spark
• +1

Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems

• Senior
• AWS
• Golang
• Python
• +1

Observability platform engineeringBuild and operate scalable observability and telemetry platforms that process logs, metrics, traces, and events across production environments.

• Senior
• AWS
• CI/CD
• Docker
• +4

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).

• Senior
• Kubernetes
• Python
• Spark

Du nimmst das digitale Fundament unserer Testlandschaft in die Hand, entwickelst, pflegst und skalierst unsere komplexen Automatisierungs-Frameworks eigenständig mit modernen Tools.

• Senior
• CI/CD
• Java
• JavaScript
• +2

7+ years in data engineering

• Senior
• Azure
• Python
• Spark
• +1

Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.

• Senior
• AWS
• CI/CD
• Docker
• +5

Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.

• Senior
• Azure
• CI/CD
• Docker
• +3

Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.

• Senior
• AWS
• LLM
• Python
• +3

• AWS or other cloud certifications • Experience with Agile methodologies (Scrum/Kanban) • Knowledge of databases (Oracle or other RDBMS) and data migration tools • Exposure to big data technologies like Hadoop or Spark • Experience

• Senior
• AWS
• Azure
• Docker
• +3

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen

• Senior
• Azure
• Spark

Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.

• Senior
• CI/CD
• Python
• Spark
• +1

Maintain and improve our Redpanda-based event streaming infrastructure

• Senior
• Kubernetes
• PostgreSQL
• REST
• +1

About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting- edge projects that leverage the latest technologies across various domains

• Senior
• Docker
• Java
• MongoDB
• +3

Design, build and maintain APIs, services and systems and debug production issues across multiple levels of the stack.

• Middle
• CI/CD
• Docker
• Python
• +1

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7

Creating and implementing solutions based on AI

• Senior
• AWS
• Azure
• GCP
• +2

Design, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Lead
• AWS
• Azure
• CI/CD
• +7

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Design and optimize complex data storage solutions, including data warehouses and data lakes.

• Senior
• AWS
• Azure
• Python
• +2

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

• Middle
• AWS
• Azure
• Python
• +2

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

Du entwickelst und verantwortest die Architektur sowie die Implementierung skalierbarer ETL‑Pipelines auf Basis von Microsoft Fabric und sorgst für eine effiziente, automatisierte Integration heterogener Datenquellen

• Senior
• Azure
• Spark

einleitung Unser Kunde: Bei uns erwartet dich ein moderner Techstack, spannende Herausforderungen in unterschiedlichen Branchen und ein junges, dynamisches Team, das mit Begeisterung und Teamgeist gemeinsam Ziele erreicht.

• Senior
• CI/CD
• Kubernetes
• Python
• +1

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Design and implement data pipelines for the collection, storage, and transformation of data from a variety of sources

• Senior
• Java
• Python
• Snowflake
• +2

Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.

• Senior
• Python
• REST
• Spark