Senior Staff Data Engineer- Data Platform Job at Adevinta (Amsterdam)

Senior SSE Data Engineer

Designs, develops, troubleshoots and debugs software programs for software enhan...

Location

Israel , Tel Aviv

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Typically 6-10 years experience
Extensive experience with multiple software systems design tools and languages
Excellent analytical and problem solving skills
Experience in overall architecture of software systems for products and solutions
Designing and integrating software systems running on multiple platform types into overall architecture
Evaluating forms and processes for software systems testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools
Excellent written and verbal communication skills
mastery in English and local language
Ability to effectively communicate product architectures, design proposals and negotiate options at senior management levels

Job Responsibility

Leads multiple project teams of other software systems engineers and internal and outsourced development partners responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration
Manages and expands relationships with internal and outsourced development partners on software systems design and development
Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards
provides tangible feedback to improve product quality and mitigate failure risk
Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities
Drives innovation and integration of new technologies into projects and activities in the software systems design organization
Provides guidance and mentoring to less- experienced staff members

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Staff Software Engineer

As a Senior Staff Software Engineer, you will join a highly performing team of e...

Location

United States , New York

Salary:

156400.00 - 225000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science/Mathematics or a similar field
12+ years of software engineering experience in Java programming language (preferably JDK17 or higher)
5+ years of experience developing and designing data applications and data pipelines
7+ years of experience crafting microservices and scalable products, utilizing diverse cloud platforms (ideally AWS)
Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing
Ability to work independently and oversee entire projects or significant parts, focusing on completing the tasks on time
Proven ability to research and become proficient in new technologies
Strong analytical and problem-solving skills, with meticulous attention to detail and a dedication to continuous improvement
Proficiency in constructing detailed software architecture diagrams
Interpersonal skills and ability to interact and work with staff at all levels

Job Responsibility

Design and build high-performance, reliable, and scalable reporting APIs and data pipelines
Lead high-level architecture discussions and planning sessions work with ad measurement, revenue and addressability data
Work with various teams of engineers building software in a collaborative development process
Execute tasks with utmost clarity and precision, demonstrating a strong sense of ownership and providing clear direction to drive projects forward effectively
Collaborate with the Product team to clarify the scope of the projects by giving thoughtful feedback which challenges and clarifies requirements intent
Collaborate with the Global Operations and Cloud Infrastructure teams to ensure flawless production deployments and support the Incident Management team
Responsible for conducting technical interviews as needed, ensuring a consistently high bar for engineering excellence and performance standards
Responsible for mentoring and guiding junior engineers.

What we offer

discretionary short-term and long-term incentives

Fulltime

LLM - Senior Staff Engineer - Python + Machine Learning

AquSag is seeking a hands-on Machine Learning Senior Staff Engineer to lead cros...

Location

Salary:

40.00 - 60.00 USD / Hour

AquSag Technologies

Expiration Date

Until further notice

Requirements

9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)
Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed
Hands-on experience in Docker for Production deployment
Proven experience managing teams delivering ML/LLM models in production environments
Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)
Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines
Excellent leadership, communication, and cross-functional collaboration skills
Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred)
Overlap of 6 hours with PST time zone is mandatory
Commitments Required: 8 hours per day with overlap of 6 hours with PST

Job Responsibility

Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals
Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment
Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics
Provide technical direction on large-scale model training, fine-tuning, and distributed systems design
Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML
Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards
Communicate progress, risks, and results to stakeholders and executives effectively

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Engineering Manager - Support Platform

Join Intercom as a Senior Engineering Manager and lead teams at the heart of our...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience leading engineering teams building and delivering customer-facing software products
Proven ability to lead multiple teams or broad product areas, aligning work across complex domains
A hands-on leader who brings clarity, context, and energy — ready to roll up your sleeves, dive deep, and stay close to the work and your teams, not just manage from a distance
Thrives in ambiguous, fast-paced environments, providing stability, structure, and momentum
Strong product mindset and customer obsession — you think in terms of customer problems, measurable outcomes, and business impact
Comfortable being the sole directly responsible individual (DRI) for your area, taking full ownership of outcomes and stepping confidently into product-thinking shoes when needed
Outcome-driven and an unblocker by nature — you take ownership of problems, remove barriers proactively, and relentlessly drive your teams toward success. You’re energized by achieving results and seeing impact
Eager to directly work with customers, and skilled at turning customer feedback and data into actionable insights and impactful product decisions
Passionate about building high-autonomy, high-accountability teams that consistently deliver exceptional customer outcomes
This is an AI-first role with a high bar for excellence. We expect you to be fluent in using AI tools to solve problems, accelerate output, and inspire others to do the same — helping shape a culture that embraces AI as a core advantage

Job Responsibility

Own one of Intercom’s largest and most complex product areas end-to-end — setting vision, priorities, and measurable outcomes
Work directly with customers and internal functions (including Sales, GTM, and Customer Support) to deeply understand their needs and translate insights into impactful product solutions
Act as the single accountable owner for your product area — comfortable being directly responsible for roadmap, execution, and results, and not shy about stepping into product-thinking shoes when needed
Drive clarity and alignment across teams, balancing near-term delivery with long-term product strategy
Continuously raise the bar for quality, reliability, and customer experience within your teams and beyond
Partner closely with Staff and Principal Engineers to shape direction, architecture, and execution
Coach and grow engineers and emerging leaders, supporting their development and helping them deliver exceptional outcomes
Foster a culture of ownership, accountability, and autonomy, enabling your teams to move fast and deliver meaningful results
Contribute to Intercom’s engineering culture, helping evolve how we build customer-driven software across the organization

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work!
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Senior Staff Software Engineer

We are Ataccama, and we are on a mission to empower organizations to maximize th...

Location

Czech Republic , Prague

Salary:

Not provided

Ataccama

Expiration Date

Until further notice

Requirements

strong experience with building and running multitenant, cloud native systems reliably at scale
“Keep things simple” and "You build it you run it" mentality is your default mindset
enjoy collaborating across product engineering teams on software architecture with a strong focus on enabling feature teams to deliver high-quality software
a lot of experience with many successes and failures to talk about
get joy and pride in sharing your experience and mentoring others
still enjoy being hands on - you write clean, well-designed, documented, and testable code, with a strong emphasis on quality, consistency, and speed of delivery
strong expertise in many of the following areas: distributed systems, multi-tenancy, message queues, continuous integration & deployment
able to collaborate productively with others

Job Responsibility

Design, develop and operate our cloud native enterprise system that scales well and runs reliably 24/7
Lead cross team initiatives, cracking the hardest technical challenges, bringing technical alignment to our SaaS engineering organization
Help drive our SaaS architecture, including redesigning the current platform and streamlining the release process to ensure rapid time-to-value while maintaining high quality and security standards
Mentor others (both individuals and teams) by sharing your vast experience, best practices and lessons learned from past failures
Take end-to-end ownership of the entire product, from feature development to achieving ambitious SLAs
Attain a profound understanding of data management and design scalable systems capable of handling vast amounts of data within the cloud ecosystem and across various data sources

What we offer

Long-Term Incentive Program
2 sick days and 25 days of vacation, with the option to request additional Flexible Time-Off days when needed
The Global Family Support Program - a paid leave program to help all parents focus on the new addition to their family
Flexible working hours & hybrid work setup
Benefit Plus - flexible employee benefit platform (incl. Multisport card)
Annual package for mental health support
"Bring Your Friend" referral program
Shared company cards for free entrance to Prague Zoo & Botanical garden
Company bikes, longboards, e-scooters
Conference tickets to the best industry events of the year

Fulltime

Senior Staff Machine Learning Engineer

Help design our AI platform and develop our next generation of machine learning ...

Location

United States , San Francisco

Salary:

216500.00 - 324500.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
Extensive experience designing, developing, and operating scalable backend systems
Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)

Job Responsibility

Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

What we offer

Competitive pay
Comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Senior Staff Machine Learning Engineer

Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pi...

Location

United States

Salary:

232000.00 - 310000.00 USD / Year

Affirm

Expiration Date

Until further notice

Requirements

10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems
Experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment
Proficient in Python and ML frameworks, including PyTorch and XGBoost
Strong understanding of representation learning and embedding-based modeling
Deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems
Deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining
Strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams
Exceptional judgment, collaboration, and communication skills
Strong verbal and written communication skills that support effective collaboration across our global engineering organization
Equivalent practical experience or a Bachelor’s degree in a related field

Job Responsibility

Define and drive multi-year, multi-team technical strategy for machine learning across Affirm
Lead the design, implementation, and scaling of advanced ML systems
Partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities
Provide broad technical leadership across the ML organization, mentoring senior engineers
Drive clarity and alignment on ambiguous, high-stakes technical decisions
Champion operational and system excellence at the area level

What we offer

Equity rewards
Monthly stipends for health, wellness and tech spending
100% subsidized medical coverage, dental and vision for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Competitive vacation and holiday schedules
Employee stock purchase plan enabling you to buy shares of Affirm at a discount

Fulltime

Senior Staff Data Engineer- Data Platform

Adevinta

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 25, 2026

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