data Engineering team leader

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8601676

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29/03/2026

Data Group Tech Lead, Staff Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced and passionate Data Group Tech Lead, Staff Engineer to join our Data Platform group. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives us toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

דרישות:
8+ years of experience in data-related roles such as Data Engineer, Data Infrastructure Engineer, BI Engineer, or Machine Learning Platform Engineer, with significant experience in at least two of these areas
A B.Sc. in Computer Science or a related technical field (or equivalent experience)
Extensive expertise in designing and implementing Data Lakes and Data Warehouses, including strong skills in data modeling and building scalable storage solutions
Proven experience in building large-scale data infrastructures, including both batch processing and streaming pipelines
A deep understanding of Machine Learning infrastructure, including tools and frameworks that enable Data Scientists to efficiently develop, deploy, and maintain models in production, an advantage
Proficiency in Python, Pulumi/Terraform, Apache Spark, AWS, Kubernetes (K8s), and Kafka for building scalable, reliable, and high-performing data solutions
Strong knowledge of databases, including SQL (schema design, query optimization) and NoSQ המשרה מיועדת לנשים ולגברים כאחד.

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8594845

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04/03/2026

Head of Engineering

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.
In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.
Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Requirements:
At least 10 years in sw and a minimum of 5+ years in an engineering leadership role, including managing team leads in large groups (20+ )
Proven background as a Full-Stack Developer with a strong, hands-on command of both frontend and backend development.
Deep understanding and practical experience with modern system architecture (e.g., microservices, distributed systems).
Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines.
Strong product sense and the proven ability to translate product vision into a viable technology strategy.
Excellent communication skills, demonstrating the ability to work effectively across all functions.
Proven ability to successfully recruit, develop, and retain top engineering talent.
Bachelors or Masters degree from a leading university in Computer Science, Engineering, or a related field
Preferred Skills (Nice to Have):
Prior experience with Software as a Service (SaaS) platforms targeting Small to Medium Businesses (SMBs) or independent Professionals.
Background in productionizing Machine Learning or AI models, with specific experience in areas like computer vision or image processing.

This position is open to all candidates.

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8568066

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09/03/2026

Senior Solutions Engineer - Big Data & Data Infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

Requirements:
2-4 years in software / solution or infrastructure engineering, with 2-4 years focused on building / maintaining large-scale data pipelines / storage & database solutions.
Proficiency in Trino, Spark (Structured Streaming & batch) and solid working knowledge of Apache Kafka.
Coding background in Python (must-have); familiarity with Bash and scripting tools is a plus.
Deep understanding of data storage architectures including SQL, NoSQL, and HDFS.
Solid grasp of DevOps practices, including containerization (Docker), orchestration (Kubernetes), and infrastructure provisioning (Terraform).
Experience with distributed systems, stream processing, and event-driven architecture.
Hands-on familiarity with benchmarking and performance profiling for storage systems, databases, and analytics engines.
Excellent communication skills-youll be expected to explain your thinking clearly, guide customer conversations, and collaborate across engineering and product teams.

This position is open to all candidates.

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8572794

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23/03/2026

Senior/ Principal/ Sr Principal Engineer (Cortex Cloud)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior/ Principal/ Senior Principal Software Engineer at Cortex Cloud, you will serve as a primary technical architect and visionary for our core communication infrastructure. This role is focused on the critical server-side backbone that facilitates high-scale bidirectional communication between our cloud services and client-side applications.
You will be responsible for the architectural integrity of systems that receive massive data inflows from the field and reliably broadcast intelligence back to millions of endpoints. This is a high-impact leadership role requiring a blend of deep technical mastery in distributed systems and the ability to influence technical strategy across the organization.
Key Responsibilities
Architectural Strategy & Vision: Define and drive the multi-year technical roadmap for our server-side communication infrastructure, ensuring the platform remains resilient and performant under extreme load.
High-Scale Communication Infrastructure: Lead the design and implementation of backend systems optimized for receiving high-scale data from client-side apps and distributing data back to a vast ecosystem of endpoints.
Technical Leadership & Influence: Act as a force multiplier by providing technical guidance to multiple engineering teams, aligning them on shared protocols, architectural standards, and communication patterns.
Drive Engineering Excellence: Champion a culture of high engineering rigor, focusing on deep observability, low-latency data distribution, and runtime stability for mission-critical production environments.
Cross-Functional Collaboration: Partner with Product Management, Infrastructure, and Client-Side Engineering teams to evaluate technical trade-offs, mitigate risks, and ensure seamless end-to-end data flow.
Innovation & Prototyping: Spearhead the evaluation of emerging technologies and lead "proof of concept" initiatives for next-generation transport layers and messaging paradigms.
Technical Mentorship: Invest in the growth of Senior and Staff engineers through deep-dive design reviews, code audits, and hands-on pair programming on the most critical paths.
Strategic Customer Engagement: Support the business by leading technical deep dives with strategic customers, translating complex architectural concepts into actionable confidence for our partners.

Requirements:
5+/ 8+/10+ years of software engineering experience with a proven track record of delivering robust, high-scale distributed systems.
Server-Side Mastery: Deep expertise in systems-level programming and modern backend languages (e.g., Go, Python) with a focus on building scalable server-side infrastructure.
Cloud Native Foundations: Extensive experience designing, deploying, and operating large-scale architectures on GCP, AWS, or Azure, including strong knowledge of Kubernetes, Docker and Helm.
Bidirectional Data Flow: Proven ability to architect systems that handle high-concurrency data ingestion and wide-scale data distribution/broadcasting.
Systemic Problem Solving: Demonstrated experience in profiling, debugging, and optimizing complex distributed systems to eliminate performance bottlenecks.
Influence & Communication: Exceptional ability to communicate complex technical concepts to both highly technical peers and non-technical stakeholders.
Preferred Qualifications
Data Platform Expertise: Familiarity with architecting solutions using large-scale data platforms such as BigQuery, MongoDB, and MySQL.
High-Performance Caching: Hands-on experience with in-memory data stores and acceleration technologies like Redis, Dragonfly, or similar high-throughput caching layers.
Event-Driven Architecture: Deep understanding of Event-Driven systems and asynchronous messaging patterns to ensure decoupled and scalable service interactions.
Modern Tooling: Experience leveraging AI-assisted development tools (Gemini, Claude) to optimize the SDLC and automate complex testing/generation tasks.
Advanced Degree: B.

This position is open to all candidates.

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8588269

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4 ימים

Data Science Manager

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Requirements:
Experience: 5-10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.
Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).
Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).
Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.
Education: Masters degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.
Preferred Qualifications
Experience in the mobile gaming industry or high-velocity B2C tech environments.
Passion for gaming and experience playing various game genres.
Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

This position is open to all candidates.

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8600395

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27/03/2026

DBA Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced, hands-on Database Reliability Engineering (DBRE) Team Leader to head our core DBRE team. In this role, youll be responsible for the reliability, scalability, and performance of our large-scale database infrastructure and data platforms, while leading and mentoring a team of DBREs.
Youll bring together strong technical expertise and people leadership, defining the vision and standards for database reliability, guiding architectural and system design decisions, and driving operational excellence across our production environments.
In your day-to-day, you will:
Lead, mentor, and grow a team of DBREs, providing technical guidance and career development
Define and drive the teams roadmap for database reliability, availability, scalability, and cost efficiency
Own hundreds of production database clusters (MySQL, MongoDB, etc.) at petabyte scale on Cloud platform
Oversee the design and optimization of data models, schemas, and database access patterns used by core services
Establish and promote best practices, standards, and methodologies for database design, operations, observability, and incident management
Collaborate with other Infra, Security, FinOps, and R&D teams to shape our databases strategy and long-term technology direction
Encourage the use of AI and ML-driven tools and analytics for anomaly detection, capacity forecasting, performance optimization and team dev velocity
Promote automation in database provisioning, configuration, and operations.

Requirements:
10+ years of hands-on 24/7 production experience with MySQL, MongoDB, ElasticSearch and/or other RDBMS/NoSQL data stores
Proven team leadership or technical authority experience in large-scale database initiatives
Strong expertise in databases solution architecture, HA, backups, DR, and performance tuning
Practical experience with AWS and/or GCP data products and cloud-native architectures
Deep knowledge of Linux systems
Passion for automation and reliability engineering
Strong background with monitoring and observability tools and methodologies
Excellent communication and collaboration skills across multiple domains.

This position is open to all candidates.

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8564891

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26/03/2026

data analytics sales specialist iii, cloud (hebrew, english)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

about the job
as a data analytics sales specialist, you will help us grow our data analytics business by building and expanding relationships with new and existing customers. in this role, you will work with customers to deliver true business value, pitch and demonstrate product functionality and provide a comprehensive overview of key business use cases. you will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. you will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to product and global solutions teams to inform our product solutions roadmap. you will shape customers' cloud and data analytics strategy and enable digital transformation. you will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive the overall value for our company cloud. our company cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage our company's cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our company cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
cultivate relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
achieve or exceed quota and business and growth goals while forecasting and reporting your territorys business.
collaborate with our company accounts and cross-functional teams (e.g. customer engineering, marketing, customer success, product, engineering, channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and Customer Experience.
execute account plans, including a broader enterprise plan across key industries, focus on building accounts.
manage multiple customers and opportunities simultaneously, understanding each customers technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.

Requirements:
minimum qualifications:
bachelor's degree or equivalent practical experience.
10 years of experience in a sales role in the enterprise software or cloud space.
experience selling data analytics or data management technologies to clients.
experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, elt, sql, nosql, performance or scalability optimizations.
ability to communicate in hebrew and english fluently to manage relationships with local and international stakeholders.
preferred qualifications:
experience with developing data warehousing, data lakes, batch/ Real-Time event processing, streaming, data processing ( ETL /elt), data migrations, data visualization tools, and data governance on cloud native architectures.
experience working with internal/external teams, including account teams, technical leads, procurement, and legal, build cases for transformation with implementation plans, and close agreements.
experience supporting executive relationships, and developing new territories/accounts.
experience prioritizing and planning sales activity and transformation strategies.
knowledge of trends, products, and solutions in cloud and data and analytics (e.g., bigquery, looker, dataproc, pub/sub), and with data analytics technology stack.

This position is open to all candidates.

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8593040

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2 ימים

Senior Business Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

Requirements:
4+ years of experience in business analysis, product analytics, or data analysis, ideally in a fast moving environment
Strong SQL skills and proficiency with BI tools (Metabase, Looker, Tableau, or similar); experience with data warehouse concepts and cloud platforms
Skilled at framing problems, defining metrics, and aligning teams to create a shared understanding of success
A hands on, independent self starter who can own projects end to end, from problem definition through delivery
Excellent communication, facilitation, and storytelling skills, able to translate complex data into actionable insights for technical and non-technical audiences
Strong problem solving and critical thinking skills, with the ability to bring clarity and drive decisions forward

This position is open to all candidates.

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8602163

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אירעה שגיאה בשליחת פרטיך למשרה

31/03/2026

HR Business Analyst

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Business Analyst - HR / People Analytics to join our fast-growing Business Analytics team and focus on building scalable people and workforce analytics capabilities across the company.
This role partners closely with People (HR), FP&A, and Data teams to deliver insights on workforce trends, hiring effectiveness, headcount planning, and people-related financial impact. The role complements existing HR analytics capabilities by focusing on cross-functional, strategic, and company-level analytics, in addition to operational HR reporting.
Youll combine strong analytical skills, understanding of people data, and business storytelling to help leadership make informed decisions about workforce planning, organizational health, and cost management.
Responsibilities
Talent & Recruitment Analytics
Analyze recruitment funnel metrics including time-to-hire, time-to-fill, conversion rates, and hiring velocity.
Support hiring plan tracking and capacity analysis in collaboration with HR and Finance.
Work closely with the HR Ops supporting Greenhouse to align data definitions and reporting logic.
Identify bottlenecks and improvement opportunities in the hiring process through data-driven analysis.
People & Workforce Analytics
Analyze workforce trends including headcount evolution, attrition, retention, internal mobility, and tenure.
Build reporting and insights around employee lifecycle metrics and organizational structure.
Partner with HR to improve data quality, definitions, and consistency across people systems.
Deliver actionable insights to People leadership and senior management on workforce health and risks.
Headcount, Cost & Financial Impact Analysis
Partner with Finance and FP&A to support headcount planning, forecasting, and scenario analysis.
Analyze the financial impact of hiring plans, attrition, and organizational changes on operating expenses.
Support workforce cost modeling, including payroll and people-related expenses.
Help align people plans with budget targets and company-level financial objectives.
Data & Analytics Operations
Use SQL and Snowflake to extract, structure, and analyze people-related data.
Build end-to-end dashboards and reports using Tableau (preferred), from data modeling to visualization.
Collaborate with Data /BI team to improve data pipelines, governance, and reporting infrastructure.
Leverage automation and AI-driven tools where applicable to improve reporting efficiency and scalability.
Cross-Functional Collaboration & Communication
Act as a trusted analytics partner to HR, Finance, and leadership stakeholders.
Translate complex data into clear insights and business stories for executive audiences.
Prepare presentations and analysis for leadership reviews, planning cycles, and strategic discussions.
Contribute to the continuous improvement of people analytics frameworks and reporting standards across the company.

Requirements:
3+ years of experience as a Business Analyst, People Analyst, HR Analyst, or Data Analyst in a technology or SaaS environment.
Strong understanding of people and HR metrics (headcount, attrition, retention, hiring funnel, workforce planning).
Experience working with FP&A on headcount or cost-related analysis.
Advanced SQL proficiency and experience working with analytical data platforms (Snowflake preferred).
Strong experience with Tableau or similar BI tools, including building end-to-end dashboards.
Ability to translate data into insights and present clearly to senior stakeholders.
Experience working cross-functionally with HR, Finance, and BI teams.
Familiarity with HR systems and tools (e.g., Greenhouse, Hibob or similar HRIS platforms).
Bachelors degree in Business, Economics, Industrial Engineering, or a related field.
Preferred
Experience working in a large-scale SaaS/Tech organization
Familiarity with DBT or similar data transformation tools.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8598257

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אירעה שגיאה בשליחת פרטיך למשרה

11/03/2026

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.

What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

Requirements:
5+ years experience as a Data Engineer.
Good working knowledge of Google Cloud Platform (GCP).
Experience using AI-assisted tools or automation to improve data development, monitoring, or debugging workflows.
Strong experience in SQL and Python.
Experience with high volume ETL/ELTs tools and methodologies - both batch and real-time processing.
Understanding of how to build robust and reliable solutions.
The ability to understand the business impact of the data engineering tasks.
Hands-on experience in writing complex queries and optimizing them for performance.
Able to understand complex data and data flows.
Have a strong analytical mind with proven problem-solving abilities.
Ability to manage multiple tasks and drive them to completion.
Independent and proactive.

This position is open to all candidates.

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8576179

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