Senior Data Engineer

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06/04/2025

Data Engineering Tech Lead

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

A growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we bring AI-powered, data-driven solutions to a quickly evolving industry.

Our team consists of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven, and at our core, we believe every voice has value and can impact our bottom line.
If you are a creative, solutions-oriented individual who is ready to put your career in drive,the place for you!

We are looking for an experienced Data Engineering Tech Lead to join our team and make a real impact! In this hands-on role, you will drive the architecture, development, and optimization of our Data infrastructure, ensuring scalable and high-performance data solutions that support analytics, AI, and business intelligence needs. You will collaborate closely with analysts, Product, DevOps, and software engineers to cultivate a robust data ecosystem.

This position will report to the CISO and can be based out of Jerusalem or Tel-Aviv.

What you will be responsible for
Lead the design and implementation and maintenance of our DWH & Data Lake architecture to support both analytical and operational use cases.
Develop scalable ETL/ELT pipelines for ingestion, transformation, and optimization of structured and unstructured data.
Ensure data quality, governance, and security throughout the entire data lifecycle.
Optimize performance and cost-efficiency of data storage, processing, and retrieval.
Work closely with BI and analytics teams to guarantee seamless data integration with visualization tools.
Collaborate with stakeholders (BI teams, Product, and Engineering) to align data infrastructure with business needs.
Mentor and guide analysts, fostering a culture of best practices and professionalism.
Stay updated with industry trends and evaluate new technologies for continuous improvement.

Requirements:
5+ years of experience in data engineering, with at least 2-3 years experience in a Tech Lead role.
At least 3 years of hands-on experience with AWS, including services like S3, Redshift, Glue, Athena, Lambda, and RDS.
Expertise in DWH & Data Lake architectures, including columnar databases, data partitioning, and lakehouse concepts.
Strong experience with cloud data solutions like Redshift, Snowflake, BigQuery, or Databricks.
Proficiency in ETL/ELT tools (e.g., dbt, Apache Airflow, Glue, Dataflow).
Deep knowledge of SQL & Python for data processing and transformation.
Experience working with BI and visualization tools such as Power BI, Tableau, Looker, or similar.
Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub) and batch processing.
Understanding of data modeling (Star/Snowflake), data governance, and security best practices.
Experience with CI/CD, infrastructure-as-code (Terraform, CloudFormation), and DevOps for data.
The personal competencies you need to have:
Excellent communication skills and the ability to work as a team.
Strong sense of ownership, urgency, and drive.
Ability to take the initiative, come up with ideas and solutions, and run it with a "getting things done" attitude.
Ability to work independently and manage tight deadlines.

This position is open to all candidates.

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3 ימים

Senior Data Engineer (Analytics)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Senior Data Engineer (Analytics)
Tel Aviv
As a Senior Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.
Key Responsibilities:
Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.
What your day might look like:
Leading the design and implementation of scalable data pipelines to support analytical workloads.
Collaborating with stakeholders to gather requirements, propose solutions, and align on data strategies.
Writing and optimizing ETL processes to ensure seamless integration of new data sources.
Designing analytics-focused data modeling solutions tailored for strategic decision-making.
Troubleshooting data issues and implementing measures to improve system reliability and accuracy.
Sharing knowledge and mentoring team members to promote a culture of learning and excellence.
This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.

Requirements:
5+ years of experience as a Data Engineer or in a similar role.
Expertise in SQL and proficiency in Python for data engineering tasks.
Proven experience designing and implementing analytics-focused data models and warehouses.
Hands-on experience with data pipelines and ETL/ELT frameworks (e.g Airflow, Luigi, AWS Glue, DBT).
Strong experience with cloud data services (e.g., AWS, GCP, Azure).
A deep passion for data and a strong analytical mindset with attention to detail.
Bonus points:
Strong understanding of business metrics and how to translate data into actionable insights
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Familiarity with data governance and data quality best practices
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers.

This position is open to all candidates.

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30/03/2025

Senior Data Engineer - ML Data Group

חברה חסויה

Location: Tel Aviv-Yafo and Netanya

Job Type: Full Time

We are seeking a highly skilled Senior Data Engineer to join our Data Group and help drive the development and optimization of our cutting-edge data infrastructure.
As a key member of the Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

Requirements:
5+ years of experience as a Software Engineer with focus on data engineering
Expert knowledge in building and maintaining data pipelines at scale
Strong experience with stream/batch processing frameworks (e.g. Apache Spark, Flink)
Profound understanding of message brokers (e.g. Kafka, RabbitMQ)
Experience with data warehousing and lake technologies
Strong Python programming skills and experience building data engineering tools
Experience with designing and maintaining Python SDKs
Proficiency in Java for data processing applications
Understanding of data modeling and optimization techniques
Bonus Points
Experience with ML model deployment and maintenance in production
Knowledge of data governance and compliance requirements
Experience with real-time analytics and processing
Understanding of distributed systems and cloud architectures
Experience with data visualization and lineage tools/frameworks and techniques.

This position is open to all candidates.

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לפני 14 שעות

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking a Senior Data Engineer to join our dynamic data team. In this role, you will design, build, and maintain robust data systems and infrastructure that support data collection, processing, and analysis. Your expertise will be crucial in developing scalable data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver actionable insights.

Key Responsibilities:

Design, develop, and maintain scalable ETL processes for data transformation and integration.
Build and manage data pipelines to support analytics and operational needs.
Ensure data accuracy, integrity, and consistency across various sources and systems.
Collaborate with data scientists and analysts to support AI model deployment and data-driven decision-making.
Optimize data storage solutions, including data lakehouses and databases, to enhance performance and scalability..
Monitor and troubleshoot data workflows to maintain system reliability.
Stay updated with emerging technologies and best practices in data engineering.

Requirements:
4+ years of experience in data engineering or a related role within a production environment.
Proficiency in Python and SQL
Experience with both relational (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, Elasticsearch).
Familiarity with big data AWS tools and frameworks such as Glue, EMR, Kinesis etc.
Experience with containerization tools like Docker and Kubernetes.
Strong understanding of data warehousing concepts and data modeling.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to work collaboratively in a team environment.

This position is open to all candidates.

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28/03/2025

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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6 ימים

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced and innovative Data Engineer to join our dynamic team!
As a leading FinTech startup based in Tel Aviv, we are dedicated to providing comprehensive financial & all around solutions for small businesses. The ideal candidate will possess a strong background in data engineering, data warehousing, and data modeling. This role demands a talented professional who can design, develop, and maintain our data infrastructure, empowering stakeholders across the company to make data-driven decisions. If you are a talented, humble, and ambitious individual ready to make a significant impact in a rapidly scaling company, we invite you to join us on our journey to revolutionize services for small businesses worldwide.
About the Opportunity:
As a Data Engineer, you will play a pivotal role in establishing and enhancing our data infrastructure, empowering stakeholders across the company to make informed, data-driven decisions.
What youll be doing:
Engage with potential customers via phone, email, and online communication tools to follow up on inquiries and leads.
Build and maintain relationships with prospects, understanding their needs and offering tailored solutions.
Develop and deliver sales pitches that highlight the benefits of our services.
Guide customers through the sales process, from the initial conversation to closing the deal.
Assist in onboarding new customers, ensuring they have a smooth and positive experience with our platform.
Maintain accurate records of interactions, sales progress, and follow-up tasks using our CRM system.
Continuously refine your product knowledge to better assist prospects and customers.
Responsibilities:
Design, develop, and maintain scalable and efficient data warehouse that align with our goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting data services and analytics needs
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the data warehouse
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 closely with cross-functional teams including Developers, Data Scientists, Product Managers, and Squad Leaders to build the best possible high-quality data systems and services
Help scale the data infrastructure through the introduction of proper processes and practices.

Requirements:
Requirements:
Bachelors degree in Computer Science, Engineering, or equivalent practical experience
3+ years of experience as a Data Engineer
Proficiency in data modeling, ETL/ELT development, and data warehouse methodologies
Strong SQL expertise and experience working with databases such as Postgres, MySQL and MongoDB
Experience with Python for data manipulation and feature preparation
Experience with data pipeline tools like Apache Airflow or similar
Experience with cloud platforms, preferably AWS
Preferred Qualifications:
Experience with machine learning and data science workflows
Experience with big data technologies like Hadoop, Spark, or similar
Experience with MLOps practices and tools.

This position is open to all candidates.

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8152242

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07/04/2025

Senior Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

venture-backed, fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup,a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the Role
Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and maintaining high-quality data pipelines and models that drive decision-making across the organization.

You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.

What you will do:
Design, develop, and optimize scalable data pipelines, ensuring data is clean, accurate, and ready for analysis.
Build and maintain robust data models that support clinical, business intelligence and operational needs.
Work closely with data analysts, data scientists, engineers and cross-functional teams to understand data requirements and deliver high-quality solutions.
Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
Collaborate on the design and implementation of database schemas to support analytical and transactional workloads.
Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

Requirements:
At least 5 years of experience as a data-engineer / BI developer / Data developer
Python Proficiency: Proven ability to build data processing scripts, automation, and integration tools using Python.
SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets.
Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
A passion for maintaining data quality and ensuring trust in business-critical data.
Bonus points:
Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions.
Familiarity with dbt (data build tool) or Dataform for transformation pipelines and data modeling.
Knowledge of data orchestration tools (e.g., Airflow)
Understanding of CI/CD practices and version control systems.

This position is open to all candidates.

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18/04/2025

Senior Data Platform Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Data Platform Engineer to join our Data Platform team. The ideal candidate will have extensive experience with data engineering, specifically with Kafka and Elasticsearch, to design and maintain our data platforms. You will work closely with cross-functional teams to ensure the scalability and reliability of our data solutions.

Job Summary:
As a Senior Data Platform Engineer, you'll be responsible for design, development, maintenance, troubleshooting, and implementation of our big data architecture. Your expertise in Elastic, Kafka, and Java will be critical in ensuring the scalability and performance of our data systems.

What youll do:

Implement data processing pipelines using Kafka for real-time data streaming.
Optimize and manage search capabilities using Elastic technologies.
Collaborate with product managers, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
Oversee code reviews, ensure best practices in coding and data handling, and maintain high-quality standards in software development.
Stay up-to-date with emerging trends and technologies in big data and recommend improvements to our architecture and processes.
Troubleshoot and resolve issues in a timely manner to minimize downtime and ensure system reliability.

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field; Masters degree preferred.
8+ years of experience in the software engineering field.
5+ years of experience in big data technologies, with a focus on Elastic and Kafka.
Proficiency in Java programming and experience with related frameworks.
Strong understanding of data modeling, ETL processes, and data warehousing.
Excellent problem-solving abilities and strong analytical skills.
A solid understanding of CI/CD principles.
Experience working with both external and in-house APIs and SDKs
Advantages:

Experience with Docker, Kubernetes
Experience with cloud platforms (e.g., AWS or Azure)

This position is open to all candidates.

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27/03/2025

Data Engineer

חברה חסויה

Location: Tel Aviv-Yafo and Netanya

Job Type: Full Time

We are looking for an experienced Data Engineer with expertise in cloud technologies, big data, and distributed systems to join our data engineering team.
This role requires the experience and skills to design and build key components and infrastructure for our global data teams (Data engineering, BI, Data science) with experience in designing, building, and maintaining streaming data pipelines and data lake architectures, together with hands-on expertise with technologies like Apache Spark, Kafka, and cloud-based data lake implementations.
As a Data Engineer you will
Build Infrastructure to empower our Engineers/Data Scientists/BI teams to work by best practices of data processing
Work in a high-volume production environment
Develop and manage ETL/ELT processes for structured and unstructured data
Collaborate with colleagues both locally and in remote locations
Influence the software architecture and working procedures for building data and analytics
Ensure data quality, integrity, and security within the data pipeline and data lake
Monitor, troubleshoot, and optimize data workflows to improve performance and reliability.

Requirements:
4+ years in Data/Backend engineering with experience in designing, developing and optimizing streaming data pipelines using Apache Spark, Kafka, or similar technologies.
Dealing with data on high volume, high availability production systems
Practical experience with Python in the domain of data pipelines.
Experience with cloud-based data lake architectures (AWS S3, Google Cloud Storage).
Exposure to DevOps practices, CI/CD pipelines, and infrastructure as code.
Excellent problem-solving skills and the ability to work in a collaborative environment.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8118203

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חברת השמה / כח אדם

03/04/2025

Data Engineer - Reporting Team

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

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 of us 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 company`s 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 company`s product.
Explore and implement new data technologies to support our data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

Requirements:
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.

עדכון קורות החיים לפני שליחה

8127076

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