Senior data Engineer

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8138977

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22/05/2025

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Data Engineer
We're hiring an experienced Data Engineer to join our growing team of analytics experts in order to help & lead the build-out of our data integration and pipeline processes, tools and platform.
The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
In this role, you will be responsible for:
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Establish scalable, efficient, automated processes for large-scale data analyses.
Support the development of performance dashboards & data sets that will generate the right insight.
Work with business owners and partners to build data sets that answer their specific business questions.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization.
Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
Own the data lake pipelines, maintenance, improvements and schema.

Requirements:
BS or MS degree in Computer Science or a related technical field.
3-4 years of Python / Java development experience.
3-4 years of experience as a Data Engineer or in a similar role (BI developer).
3-4 years of direct experience with SQL (No-SQL is a plus), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
Experience working with cloud environments (AWS preferred) and big data technologies (EMR,EC2, S3 ) - DBT is an advantage.
Experience working with Airflow - big advantage
Experience working with Kubernetes advantage
Experience working with at least in one of the big data environments: Snowflake, Vertica, Hadoop (Impala/Hive), Redshift etc MUST
Experience working with Spark advantage
Exceptional troubleshooting and problem-solving abilities.
Excellent verbal/written communication & data presentation skills, including experience communicating to both business and technical teams.

This position is open to all candidates.

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8188355

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05/06/2025

Staff Data Engineer, Group Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. 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 companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company 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.
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 our company 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.

Requirements:
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 NoSQL, with a solid understanding of their use cases
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

This position is open to all candidates.

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8206357

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05/06/2025

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.
In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our companys state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.
In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer
Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
Implement best practices for data warehouse and database performance tuning
Conduct thorough testing of data applications and implement robust validation processes
Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers.

Requirements:
3+ years of experience as a BI Engineer or Data Engineer
Proficiency in data modeling, ELT development, and DWH methodologies
SQL expertise and experience working with Snowflake or similar technologies
Prior experience working with DBT or similar tools, an advantage
Experience with Python and software development, an advantage
Excellent communication and collaboration skills
Ability to work in an office environment a minimum of 3 days a week.

This position is open to all candidates.

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8206395

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7 ימים

Data & AI Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team. We are looking for a Data & AI Architect.
Responsibilities:
Build the foundations of modern data architecture, supporting real-time, high-scale (Big Data) sports data pipelines and ML/AI use cases, including Generative AI.
Map the companys data needs and lead the selection and implementation of key technologies across the stack: data lakes (e.g., Iceberg), databases, ETL/ELT tools, orchestrators, data quality and observability frameworks, and statistical/ML tools.
Design and build a cloud-native, cost-efficient, and scalable data infrastructure from scratch, capable of supporting rapid growth, high concurrency, and low-latency SLAs (e.g., 1-second delivery).
Lead design reviews and provide architectural guidance for all data solutions, including data engineering, analytics, and ML/data science workflows.
Set high standards for data quality, integrity, and observability. Design and implement processes and tools to monitor and proactively address issues like missing events, data delays, or integrity failures.
Collaborate cross-functionally with other architects, R&D, product, and innovation teams to ensure alignment between infrastructure, product goals, and real-world constraints.
Mentor engineers and promote best practices around data modeling, storage, streaming, and observability.
Stay up-to-date with industry trends, evaluate emerging data technologies, and lead POCs to assess new tools and frameworks especially in the domains of Big Data architecture, ML infrastructure, and Generative AI platforms.

Requirements:
At least 10 years of experience in a data engineering role, including 2+ years as a data & AI architect with ownership over company-wide architecture decisions.
Proven experience designing and implementing large-scale, Big Data infrastructure from scratch in a cloud-native environment (GCP preferred).
Excellent proficiency in data modeling, including conceptual, logical, and physical modeling for both analytical and real-time use cases.
Strong hands-on experience with:
Data lake and/or warehouse technologies, with Apache Iceberg experience required (e.g., Iceberg, Delta Lake, BigQuery, ClickHouse)
ETL/ELT frameworks and orchestrators (e.g., Airflow, dbt, Dagster)
Real-time streaming technologies (e.g., Kafka, Pub/Sub)
Data observability and quality monitoring solutions
Excellent proficiency in SQL, and in either Python or JavaScript.
Experience designing efficient data extraction and ingestion processes from multiple sources and handling large-scale, high-volume datasets.
Demonstrated ability to build and maintain infrastructure optimized for performance, uptime, and cost, with awareness of AI/ML infrastructure requirements.
Experience working with ML pipelines and AI-enabled data workflows, including support for Generative AI initiatives (e.g., content generation, vector search, model training pipelines) or strong motivation to learn and lead in this space.
Excellent communication skills in English, with the ability to clearly document and explain architectural decisions to technical and non-technical audiences.
Fast learner with strong multitasking abilities; capable of managing several cross-functional initiatives simultaneously.
Willingness to work on-site in Ashkelon once a week.
Advantage:
Experience leading POCs and tool selection processes.
Familiarity with Databricks, LLM pipelines, or vector databases is a strong plus.

This position is open to all candidates.

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8208147

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05/06/2025

Staff Algo Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Requirements:
To thrive in this role, youll need:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills in Java & Python
Experience with TensorFlow a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

This position is open to all candidates.

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8205385

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לפני 4 שעות

BackEnd Team Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.

Requirements:
At least 7 years of experience in backend or data engineering, with a minimum of 3 years in a team lead role.
Experience with development, deployment and automation on AWS - S3, SNS, lambda, batch, dynamo, RDS etc.
Expertise in advanced SQL, including writing complex, efficient queries and building optimized datasets.
Proficient in Python and Python-based data tools.
Working with micro-services on K8S
Proven track record of delivering large-scale, high-quality products
Independent, autodidact with excellent problem solving and passion to learn cutting-edge technologies
Proven ability to lead and mentor a team, manage projects, and collaborate effectively with cross-functional teams.
Outstanding interpersonal skills
Advantage:
Experience in building data stream pipelines and ETL using Big Data frameworks such as Spark and Apache Airflow
Experience with Serverless frameworks
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka.

This position is open to all candidates.

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8217961

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28/05/2025

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Data Engineer.
The Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

Requirements:
B.Sc. in Computer Science or equivalent.
4+ years of extensive SQL experience (preferably working in a production environment)
Experience with programming languages (preferably, Python) a must!
Experience working with Snowflake or with Google BigQuery
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Working closely with BI developers
Quick, self-learning, and good problem-solving capabilities.
Good communication skills and collaboration.
Process and detailed oriented.
Passion for solving complex data problems.
Desired:
Familiarity with Airflow, ETL tools, and MSSQL.
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka.

This position is open to all candidates.

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8196336

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25/05/2025

data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

About the Role Appdome is building a new data Department, and were looking for a skilled data Engineer to help shape our data infrastructure. If you thrive in fast-paced environments, take ownership, and enjoy working on scalable data solutions, this role is for you. You'll have the opportunity to grow, influence key decisions, and collaborate with security experts and product teams. What Youll Do
* Design, build, and maintain scalable data pipelines, ETL processes, and data infrastructure.
* Optimize data Storage and retrieval for structured and unstructured data.
* Integrate data solutions into Appdomes products in collaboration with software engineers, security experts, and data scientists.
* Apply DevOps best practices (CI/CD, infrastructure as code, observability) for efficient data processing.
* Work with AWS (EC2, Athena, RDS) and ElasticSearch for data indexing and retrieval.
* Optimize and maintain SQL and NoSQL databases.
* Utilize Docker and Kubernetes for containerization and orchestration.

Requirements:
* B.Sc. in Computer Science, data Engineering, or a related field.
* 3+ years of hands-on experience in large-scale data infrastructures.
* Strong Python programming, with expertise in PySpark and Pandas.
* Deep knowledge of SQL and NoSQL databases, including performance optimization.
* Experience with ElasticSearch and AWS cloud services.
* Solid understanding of DevOps practices, Big Data tools, Git, and Jenkins.
* Familiarity with microservices and event-driven design.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with LangChain, ClickHouse, DynamoDB, Redis, and Apache Kafka.
* Knowledge of Metabase for data visualization.
* Experience with RESTful APIs and Node.js. Talent We Are Looking For Independent & Self-Driven Comfortable building from the ground up. Growth-Oriented Eager to develop professionally and take on leadership roles. Innovative Passionate about solving complex data challenges. Collaborative Strong communicator who works well with cross-functional teams. Adaptable Thrives in a fast-paced, dynamic environment with a can-do attitude. About the Company: Appdome's mission is to protect every mobile app worldwide and its users. We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform. Our platform delivers rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system. With Appdome, mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 1 billion mobile end users projected.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

This position is open to all candidates.

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8118270

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5 ימים

Data Engineer For Insight Team

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Data Engineer for the Insight Team to join our Data Group and a new team responsible for developing innovative features based on multiple layers of data. These features will power recommendation systems, insights, and more. This role involves close collaboration with the core teams within the Data Group, working on diverse data pipelines that tackle challenges related to scale and algorithmic optimization, all aimed at enhancing the data experience for our customers.
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. Data is everything, its at the heart of everything we do. The Data Group is responsible for shaping the experience of hundreds of thousands of users who rely on our data daily.
The Insight Team monitors user behavior across our products, leveraging millions of signals and time-series entities to power a personalized recommendation and ranking system. This enables users to access more unique and tailored data, optimizing their experience while maintaining a strong focus on the key KPIs that drive the success of our Data Group.
What will you be responsible for?
Develop and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
Develop models and implement algorithms, with a strong emphasis on delivering high-quality results.
Leverage technologies like Spark, Kafka, and Airflow to tackle complex data challenges and enhance business operations.
Design innovative data solutions that support millions of data points, ensuring high performance and reliability.

Requirements:
3+ years of experience in data engineering, building and optimizing scalable data pipelines.
5+ years of experience as a software developer, preferably in Python.
Algorithmic experience, including developing and optimizing machine learning models and implementing advanced data algorithms.
Experience working with cloud ecosystems, preferably AWS (S3, Glue, EMR, Redshift, Athena) or comparable cloud environments (Azure/GCP).
Expertise in extracting, ingesting, and transforming large datasets efficiently.
Deep knowledge of big data platforms, such as Spark, Databricks, Elasticsearch, and Kafka for real-time data streaming.
(Nice-to-have) Hands-on experience working with Vector Databases and embedding techniques, with a focus on search, recommendations, and personalization.
AI-savvy: comfortable working with AI tools and staying ahead of emerging trends.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8212720

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20/05/2025

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a talented Data Engineer to join our analytics team in the Big Data Platform group.
You will support our product and business data initiatives, expand our data warehouse, and optimize our data pipeline architecture.
You must be self-directed and comfortable supporting the data needs of multiple systems and products.
The right candidate is excited by the prospect of building the data architecture for the next generation of products and data initiatives.

This is a unique opportunity to join a team full of outstanding people making a big impact.
We work on multiple products in many domains to deliver truly innovative solutions in the Cyber Security and Big Data realm.

This role requires the ability to collaborate closely with both R&D teams and business stakeholders, to understand their needs and translate them into robust and scalable data solutions.

Key Responsibilities
Maintain and develop enterprise-grade Data Warehouse and Data Lake environments
Create data infrastructure for various R&D groups across the organization to support product development and optimization
Work with data experts to assist with technical data-related issues and support infrastructure needs
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for scalability
Build and maintain robust ETL/ELT pipelines for data ingestion, transformation, and delivery across various systems

Requirements:
B.Sc. in Engineering or a related field
3 - 10 years of experience as a Data Engineer working on production systems
Advanced SQL knowledge and experience with relational databases
Proven experience using Python
Hands-on experience building, optimizing, and automating data pipelines, architectures, and data sets
Experience in creating and maintaining ETL/ELT processes
Strong project management and organizational skills
Strong collaboration skills with both technical (R&D) and non-technical (business) teams
Advantage: experience with Azure services such as Storage Accounts, Databricks, EventHub, and Spark

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8184909

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