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

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior Staff Software Engineer: Data & Storage Platform

Uber’s Data Platform is the heart of the company’s critical decision-making and ...

Location

United States , Seattle; San Francisco; Sunnyvale

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

14+ Years of Engineering Excellence: Proven experience designing and operating world-class distributed data and storage systems
Mastery of Storage Internals: Extensive storage experience is a must
Deep expertise in: Batch & Object Storage: HDFS, Cloud Object Storage (S3/GCS/OCI), and Blobstore metadata management
Storage Optimization: Practical experience with Apache Hudi or Apache Iceberg for lakehouse architectures
Transactional Systems: Experience with distributed transactional storage (e.g., Docstore, Google Spanner, TiDB)
NoSQL & Cache: Cassandra, Redis, and high-throughput Key-Value stores
Data + AI Convergence: Deep understanding of how compute fabrics (Spark, Flink, Ray) integrate with vector databases and model-serving platforms
Query Engine Proficiency: Architect-level knowledge of Presto, Trino, or Hive for large-scale analytical processing
Systems Programming: Expert-level command of Java, Go, Scala, or C++ with a focus on performance tuning and distributed consensus

Job Responsibility

Architect the Multi-Modal Fabric: Unify batch, streaming, and AI compute into one intelligent fabric, enabling real-time insights and trustworthy AI agents at a global scale
Revolutionize Storage & Catalog: Drive the architecture for a unified catalog and metadata management service for unstructured data, leveraging native cloud object store capabilities
Operationalize AI Intelligence: Partner with teams like QueryCopilot and DataIQ to bridge human validation with autonomous reasoning through agentic workflows
Lead Storage Modernization: Evolve our massive-scale persistence layers—including Docstore (Transactional Distributed Storage) and Distributed MySQL—to increase resiliency and reduce operational overhead
Open Source & Act as a force multiplier by contributing to the community (Hudi, Iceberg, Presto)

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Data Platform Engineer - Vice President

Fixed Income (FI) is the primary source of capital for corporations, governments...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of demonstrable and highly hands-on experience in software development, with at least 3-5 years in a lead technical contributor or staff engineer role within a data-intensive environment
Deep Architectural & Implementation Expertise: Proven expertise in designing, building, and implementing Microservices and complex streaming/data pipeline architectures
Polyglot Proficiency & Technical Authority: Demonstrated ability to be a technical authority and actively contribute across multiple programming languages/frameworks, with strong hands-on experience in Java (Java 11+ preferred), and significant expertise in Python, along with practical knowledge of front-end technologies like Angular/React
Expertise in Flink Ecosystem: In-depth architectural understanding and hands-on experience with Apache Flink for real-time stream processing, including Flink SQL, DataStream API, and state management. Comprehensive knowledge of Flink infrastructure setup, maintenance, enhancement, migration strategies, and experience in evaluating/integrating alternative streaming frameworks
Mastery of Redis: In-depth knowledge and practical experience with Redis, encompassing not only data structures, caching patterns, and pub/sub mechanisms but also strategic expertise in Redis cluster setup, maintenance, enhancement, and migration strategies for mission-critical, high-performance applications
Distributed Systems & Data Engineering: Deep understanding of distributed systems concepts and extensive hands-on experience with data distribution platforms like Apache Kafka, and various big data storage/querying systems (e.g., Trino, Pinot, Druid, Ignite) for low-latency access in large-scale, distributed data pipelines
Cloud-Native & DevOps Contribution: Proven experience with the design, implementation, and operational aspects of cloud-native applications and deployment via Kubernetes / OpenShift / ECS, specifically for managing microservices, streaming, and data services
Technical Leadership, Coaching & Communication: Exceptional ability to provide technical direction, coach junior engineers through hands-on collaboration, and articulate complex technical concepts clearly to diverse audiences
Advanced Problem Solving & Strategic Technical Thinking: Excellent problem-solving skills, a data-driven approach to technical decision-making, and the ability to define and execute long-term technical strategies through direct implementation
Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and integrating LLMs into applications, is a plus

Job Responsibility

Hands-on Technical Leadership & Coaching: Provide technical leadership through direct code contribution, architecture review, and hands-on guidance to junior and mid-level data engineers, fostering a culture of technical excellence and continuous learning across polyglot environments
Drive & Implement Architecture & Design: Directly contribute to and drive the technical design and hands-on development of highly scalable, low-latency, fault-tolerant data pipelines, real-time streaming platforms (e.g., Flink), and microservices architectures
Platform Infrastructure & Operations Deep Dive: Actively participate in the strategic planning, setup, enhancement, migration, and operational excellence of critical platform infrastructure, including distributed streaming (Flink) and high-performance caching solutions (Redis)
Open Source & Emerging Technologies Evaluation: Continuously research, evaluate, and prototype emerging open-source data and streaming technologies, leading their integration into Citi's data platform through direct implementation. This includes evaluating new streaming frameworks and caching solutions
Performance & Resilience Optimization: Proactively identify and implement architectural and systemic performance optimizations to ensure optimal efficiency, responsiveness, and resilience across the entire data platform, including Flink and Redis clusters
Cross-Functional Technical Collaboration: Collaborate closely with senior technical stakeholders across engineering, data science, and business teams to translate complex technical requirements into robust, high-impact implementations
Delivery & Code Quality Assurance: Drive the timely, high-quality, and secure delivery of data platform features, championing agile methodologies, engineering best practices, and ensuring accountability for code quality and robust testing
Technical Problem Solving: Act as a primary escalation point for complex technical challenges, providing expert diagnosis and hands-on resolution
Operational Flexibility: May occasionally work a non-standard shift including nights and/or weekends and/or have on-call responsibilities to support critical platform operations

Fulltime

Senior Staff Engineer - Autonomous Vehicle Platform

The Autonomous Mobility & Delivery (AM&D) team is leading Uber’s autonomous futu...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time Software Engineering work experience OR 7-years full-time Software Engineering work experience, WHICH INCLUDES 4-years total technical software engineering experience in one or more of the following areas: Programming language (e.g. C, C++, Java, Python, or Go)
Past experience in developing large-scale, distributed systems
Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges
Proven track record of leading and scaling high-impact product platform initiatives. Strong technical expertise with deep knowledge of platform architecture, microservices, and best practices for building resilient, scalable systems
Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach

Job Responsibility

Set the architectural vision: Define and drive the technical direction for the AM&D platform, partnering closely with product and business leaders to create real impact for Uber and our customers
Lead major platform initiatives: Own and scale critical systems across the API Gateway, Simulation Platform, and Data Pipelines & Reporting
Mentor and inspire: Provide technical leadership and coaching to a high-performing team of engineers, helping foster an innovative and collaborative culture
Build for scale and reliability: Design, develop, and deploy platform components that are resilient, extensible, and easily integrated across multiple Uber surfaces
Collaborate across Uber: Work with cross-functional and cross-company teams to ensure our autonomous platform aligns with Uber’s broader marketplace and product strategies

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Staff Software Engineer- GIA Platform

GEICO is seeking an experienced software engineer with a passion for building hi...

Location

United States , Palo Alto

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Fluency in at least one modern language (Go is preferred, .Net is a plus)
Proven track record of designing, implementing, and maintaining highly scalable, available and reliable system in production
Understanding of security best practices and data encryption technology
Understanding of SQL and NoSQL databases, including stateful services management and storage
Understanding of networking, caches, key/value stores, load balancing, global load balancing, queues, DNS and CDN
Deep knowledge of DevOps practices, methodologies, and principles, along with a solid understanding of on prem and public cloud-based network, compute, and storage technologies
In-depth knowledge of hybrid cloud architecture, IaaS and PaaS technologies, container orchestration platforms (e.g., Kubernetes), cloud efficiency and observability etc.
Strong background in incident management
Ability to create incident response playbooks, runbooks, incident triaging strategies, and post-incident analysis to drive continuous improvement in system reliability and availability
Experience with open-source management and monitoring tools

Job Responsibility

Develop and drive the overall technical roadmap for the GIA Platform organization, aligning it with the organization's business goals and objectives
Work closely with executive leadership, tech teams, and other cross-discipline stakeholders to build optimal strategy for delivering platform services
Leverage technical and domain expertise to influence partners and leadership to create a force multiplier in achieving milestones in the team’s technical roadmap
Provide thought leadership in GIA Platform, staying ahead of industry trends and emerging technologies to create effective strategy that minimizes business disruption while balancing the modernization of legacy platform components
Lead the design and architecture of resilient and scalable platform services, considering both on-premises and cloud-based solutions
Champion software development best practices and safe deployment processes to enable continuous, incremental delivery of business values
Contribute directly to and leading by example in day-to-day engineering activities (writing feature code and automated tests, raising PRs and reviewing peers’ PRs, developing and managing CI/CD pipelines, production support, among others)
Develop and maintain comprehensive incident response plans to address various disaster scenarios across multiple partner integration points
Spearhead collaboration with various stakeholders in production readiness assessment and operational excellence
Hands-on software engineering and SDLC best practices (Technical Review Documents, Architecture, Software Development, Code Reviews, Testing, Production Readiness Reviews, among others)

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior / Staff Full-Stack Data Engineer – Databricks

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Databricks, Apache Spark, and Delta Lake
Proven experience building and operating production-grade data pipelines
Experience operationalizing machine learning models and inference pipelines
Strong understanding of data reliability, observability, and monitoring practices
Experience with CI/CD, DevOps, and MLOps workflows
Experience working with cloud platforms (AWS or Azure)
Familiarity with Unity Catalog and enterprise data governance concepts
Experience with spec-driven development and coding agents

Job Responsibility

Design, build, and maintain ETL/ELT pipelines on Databricks using Spark, Delta Lake, and Databricks Workflows
Build and operate batch and real-time data pipelines for ingestion, transformation, and orchestration
Operationalize machine learning inference pipelines authored by data scientists (batch and real-time)
Ensure consistency between model training and inference environments
Implement data quality checks, validation rules, monitoring, alerting, and automated recovery
Collaborate with data scientists to productionize models and optimize inference performance and cost
Implement CI/CD, DevOps, and MLOps best practices for data pipelines and ML workflows
Optimize compute, storage, and job configurations for performance and cost efficiency
Implement and manage enterprise data governance using Unity Catalog (schemas, lineage, ownership, documentation)
Work with Databricks infrastructure and platform configurations

Fulltime

Senior Staff Engineer - Marketplace Competitive Intelligence

Uber is looking for a Senior Staff Engineer to lead the technical vision and exe...

Location

United States , San Francisco; Seattle

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Master's Degree or equivalent in Computer Science, Engineering, Mathematics or related field with 7+yrs of software development experience
Proficiency in one of the programming languages (e.g. C, C++, Java, Python, or Go)
Experience driving large-scale system modernization, performance optimizations, and deployment safety improvements
Ability to lead large technical initiatives and drive cross-team collaboration across platform, security, and infrastructure teams.

Job Responsibility

Lead the design and development of systems that extract strategic insights from unreliable and fragmented market data
Architect and guide the implementation of real-time defenses against scraping and data abuse, working on adversarial machine learning and bot detection solutions to protect Uber’s data and platform integrity at scale
Drive critical cross-functional initiatives by partnering with data science, security, product, and engineering teams to align technical solutions with business priorities and long-term strategy
Mentor senior engineers across multiple teams, providing technical direction, setting engineering standards, and fostering a culture of high-quality system design, experimentation, and resilience.

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Various benefits.

Fulltime

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Senior Staff Data Engineer- Data Platform

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